Analytics Product Manager Resume Sample

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Selena Zboncak
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Work Experience


Analytics Product Manager
03/2018 - PRESENT
Detroit, MI
  • PM or engineering experience working with data analytics and reporting
  • Directly and indirectly lead large teams for success
  • Be experienced in the implementation of global information & analytics projects
  • Have functional domain knowledge relevant to their Product area
  • Have strong systems design and reporting/analytics experience
  • Demonstrate outstanding collaboration ability in a global setting
  • Be quick to grasp complex business and technology problems, driving them to resolution
  • Execution of projects and programs to deliver analytics products (applications, platforms, and solutions) to markets
  • Drive scope, resourcing, and prioritization of activities in Agile project execution. Accountability for sprint structuring and planning and managing the team to ensure delivery
Senior Analytics Product Manager
07/2012 - 01/2018
San Francisco, CA
  • Act as a communication channel between technical and business facing teams. Drives escalation when necessary, accountable for project level technical decisions
  • Evaluate technical costs for implementation of solutions. This includes assisting in the creation of business cases for all capital spend relating to the analytics architecture
  • Lead, develop, and mentor a global development and operations team
  • Lead a team of employees and contractors on the execution of projects. Team members have multiple levels of seniority and experience and are dispersed across the globe
  • Maintain and optimize analytics products
  • Provide ongoing support and optimization of analytics products using a DevOps model
  • Drive automation into the BAU and Build processes, especially focused on automated testing and monitoring
  • Provide technical though leadership for their domain
  • Partner with other Product Manager, Business Relationship Managers, and Solution Architects to define a multi-year roadmap for the evolution of analytics capabilities in a specific functional domain
Business Intelligence & Analytics Product Manager
06/2008 - 03/2012
New York, NY
  • Understand and optimize the financial impact of analytics solutions on markets that leverage these services
  • Actively seeks ‘best practice’ from external sources in both the application of process and technology and uses to benchmark or provide stretch to our own processes and design
  • Experience using advanced analytics tools
  • Be fluent in English and multi-culturally aware
  • Relevant experience. Of particular interest are
  • Deep knowledge of investment and risk management process operations
  • Hands on experience with industry standard investment tools such as Barra, RiskMetrics, FactSet, Bloomberg PORT, etc.
  • Demonstrated business management experience– sales forecasting, marketing, and business development or product management experience

Education


Kent State University - Stark Campus
2004 - 2008
Engineer's Degree in Computer Science

Professional Skills


  • Strong attention to detail, problem solving, analytical and organizational skills
  • Strong leadership skills and ability to think independently
  • Demonstrated ability to communicate at all levels (verbal and written skills)
  • Strong skills to be effective in a matrix-style management and environment
  • Excellent project management and team leadership skills and ability to manage critical cross functional projects simultaneously in a fast-paced environment
  • Demonstrated experience championing, designing, and implementing innovative solutions to problems
  • Strong analytics background, including experience working with financial data, customer segmentation, behavior, targeting, and traffic analysis

How to write Analytics Product Manager Resume

Analytics Product Manager role is responsible for leadership, trading, credit, training, integration, database, architecture, reporting, manufacturing, design.
To write great resume for analytics product manager job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Analytics Product Manager Resume

The section contact information is important in your analytics product manager resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Analytics Product Manager Resume

The section work experience is an essential part of your analytics product manager resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous analytics product manager responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular analytics product manager position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Analytics Product Manager resume experience can include:

  • Strong communication skills, including the ability to present before large groups; ability to influence senior managers or key decision makers of institutional investors
  • Experience using SQL queries, experience in writing and optimizing SQL queries in a business environment with messy datasets
  • Creating Analytics offers for our prioritized Solutions
  • Demonstrated expertise delivering solutions involving different categories of data and different models of information
  • Demonstrated ability to meet tight deadlines while managing multiple competing projects in a fast-paced environment
  • Experience building technology solutions using lean agile methodologies

Education on an Analytics Product Manager Resume

Make sure to make education a priority on your analytics product manager resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your analytics product manager experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Analytics Product Manager Resume

When listing skills on your analytics product manager resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical analytics product manager skills:

  • Good understanding of machine learning and predictive modelling concepts(not hands on experience)
  • Hands on experience on predictive modelling or machine learning experience
  • Experience developing a visible prioritization framework that enables clear and consistent decision making
  • Experience defining product pricing, portfolio, and positioning
  • Experience in working within a consulting environment (either in-house or external) covering a wide range of project types simultaneously
  • Experience leading and developing teams, preferably in a global operating model

List of Typical Experience For an Analytics Product Manager Resume

1

Experience For Senior Analytics Product Manager Resume

  • Identify how to effectively use and integrate partnerships into proposed platform and business models
  • Experience with QA’ing Sitecatalyst tagging
  • Strong business acumen with ability to draw connections between data modeling activities and business challenges / opportunities
  • Work with our partners in Senior Management, Research, Trading and eSales to help understand, prioritise and inform our product delivery
  • Understands business requirements to make decisions and prioritizes feature stories
  • Strong technological knowledge in analytics and enterprise software
  • Strong familiarity with Credit Card P&L
  • Experience with MS Office applications (Word, PowerPoint, Excel, Visio)
  • Experience with product management function and how products are conceptualized and brought to market
2

Experience For Data / Analytics Product Manager Resume

  • Experience with BrightTag, Ensighten, and/or Adobe Tag Manager
  • Understanding of data science trends and future state technologies and their applicability to business process analytics
  • Applying Core technology
  • Gathering and document requirements for enhancements and product changes
  • Researching, defining and proposing analytics and data model solutions to incorporate into or build on our emerging business’ platform solutions
  • Handle several projects at a time including both short term as well as forward looking trends
3

Experience For Business Intelligence & Analytics Product Manager Resume

  • Drive growth while supporting our customer base, ensuring they receive proper support across all VZW touch points
  • Coordinate roadmap & ensure alignment across Cisco’s Engineering Units
  • Develop training material for technical support and sales (transfer of information before product launches
  • In depth understanding of best-in-class model and data configuration and development tools and processes
  • Own the change management required to ensure landing of I&A products
4

Experience For Predictive Analytics Product Manager Resume

  • The ETS I&A Product teams work closely with Global and in-market stakeholders to co-develop and deliver value by leveraging data and data science
  • Forward thinking and self-starter
  • Dive deep into data, existing processes, people and systems in order to invent, simplify, and improve inefficient or unnecessarily complex processes
  • Set strategy and direction for achieving program goals
  • Familiar with Analytic processes such as Data Discovery, Model Development, Machine Learning
  • Author detailed Business or Product Requirement Document, Use Cases, User Stories, Business Case and Requirement Models
  • Serve as the conduit between the user/customer community and the solution development team through which the requirements flow. Interface with internal and external stakeholders, conduct Gap Analysis to understand and document as-is processes and system
5

Experience For Data & Analytics Product Manager Resume

  • Develop and maintain Cray’s machine learning strategy and business by developing our business models, defining our product objectives, and managing our business. Evangelize use of Machine Learning and Deep Learning within Cray and to the broader community
  • Be responsible for taking an idea from inception to delivery
  • Support business analysis with requirements and metrics
  • Develops relationships with key stakeholders to help drive solutions based on business need
  • Lead 1 or more Agile Scrum Teams
  • Collaborate with business teams to understand and refine delivery requirements
  • Translate business requirements into features and stories which can be understood and delivered by an Agile Team
  • Refine and maintain backlogs with input from Development team(s) and various stakeholders
  • Ensure implementation align with technical design standards and architecture
6

Experience For Digital Analytics Product Manager Resume

  • Coordinate feature and release dependences with other Product Owners
  • Accept stories as done in accordance to the acceptance criteria
  • Maintains delivery roadmaps for solution
  • Gather business requirements from stakeholders (Knowledge Engineering, Software Development Engineering, and Senior Leadership teams), document specifications, create prototypes, identify resources needed, and create project schedules to ensure timely and successful delivery of the project
  • Prioritize bug requests, ad-hoc requests, and feature backlogs
7

Experience For CIB Market Execution Analytics Product Manager VP Resume

  • Track project statuses, resolve roadblocks (resource constraints, requirement ambiguity, etc.), and communicate ongoing progress to stakeholders and GATO team
  • Research and adopt industry’s and Amazon’s best practices in project management and analytic solution development
  • Create project/sprint summaries, user guides, PRFAQ documents, trainings, and demo materials for newly launched tools and features
  • Work with Data Engineers to perform data analyses and reports that answer key business questions
  • Relevant work in product management
  • Assist in driving the product development processes while working closely with Analytics Program Manager & developers to ensure optimal product feature set requirements are well documented, socialized and clarified
  • Create and deliver technical or business decision maker presentations for internal/external customers
  • Assist in development of material input for technical documentation and marketing communication groups for product User Guides, Brochures, Installation Guides, Release Notes and White papers
  • Support prioritization of product features by gathering requirements from cross-functional teams, market demands, and strategic direction; work closely with GE Business Unit SMEs, customers and the Advanced Analytics & Machine Learning team to identify key product and/or solution gaps within current platforms and solutions
8

Experience For Investor Services Business Data Analytics Product Manager Resume

  • Responsible for analytics cloud services as product owners to drive development/enhancements of MindSphere cloud services
  • Stakeholder Management – Acting as an interface between DACE and the business on agreed projects. Involved in the engagement of the business and DACE teams to identify opportunities to maximise the use of data and analytics to drive value for the business
  • Delivery – Responsible for shaping the project approach with the Technical Delivery Manager. Responsible for ensuring that all outputs for your aligned projects are successfully developed and deployed in the business through actively facilitating the engagement of all DACE teams
  • Continuous scanning of the competitive landscape to understand new tools, techniques and data sets being used both within the Mortgage Industry and beyond. Understands and recommends applicability to our business
  • Partners with business units across the Mortgage Group (US and non-US) to identify how business needs can be address with new analytic tools / models that are needed, or updates to current tools. Then work with the teams to develop requirements
  • Functions as a solo performer on tool development and also directs the work of the model developers to deliver the tools as per requirements, depending on scale of the project
  • Represents the Data Analytic Services team in sessions with senior management internal clients, external clients as well as regulators. Explains Arch’s modeling tools and approaches and why such tools are a fit for purpose as well as understand any new requirements from key stakeholders
  • Excellent oral and written communication skills, tailored for a wide variety of audiences
9

Experience For Data Visualization & Analytics Product Manager Resume

  • Experience with Agile and developing SaaS products desired
  • Experience in a software product management role
  • Familiarity with data science, machine learning, BI tools, or Hadoop is desired
  • Develop and execute on the strategies and operating plans
  • Provide guidance on structuring deals
  • Partner with global teams to drive the execution of the product development roadmap including product launches and go to market activities
  • Serve as a product SME and create product documentation to support multiple stakeholders (Sales, Marketing, Product, and Operations)
  • Coordinate with pharmacy SME and Analytic & Reporting team annual product methodology reviews to reflect most current PQA and industry standard guidelines
  • Document high level features and maintain a backlog for grooming
10

Experience For Portfolio & Risk Analytics Product Manager Multi Manager Product Resume

  • Ensure feature level requirements are entered into road mapping tool and kept in sync
  • Facilitate product User Acceptance Testing and release activities
  • Leads project management of requests from business units to ensure key deliverables are met in a well-managed way
  • Own the DataRaker analytics vision and roadmap with clearly defined milestones and success metrics
  • Deeply learn about and understand the platform technologies used at Oracle Utilities
  • Support client and account management in product implementation phase
  • Serve as a primary point of contact for clients to address product related questions, solicit feedback, log enhancement requests, etc
  • Track receipt of required data sets from clients and work closely with technology team on timely product data refresh schedule

List of Typical Skills For an Analytics Product Manager Resume

1

Skills For Senior Analytics Product Manager Resume

  • Experience understanding requirements and creating specifications
  • Strong Stakeholder management / influencing
  • Good understanding of data architecture, lean process workflows and agile approaches
  • Hands-on experience in using Graphiq systems: knowledge graph, semantic search, and knowledge CMS
  • Experience in building prototypes and perform user research
  • Strong attention to detail, analytical and creative/innovative problem solving abilities
2

Skills For Data / Analytics Product Manager Resume

  • Experience working with technology teams in agile environment
  • Experience creating presentations
  • Experience working on data analytics products and technical team
  • Experience with Adobe Premium and Testing (A/B and Multivariate programs)
  • Experience with database and segmentation data modeling projects, etc
  • Experience managing the usage of an MVT platform
3

Skills For Business Intelligence & Analytics Product Manager Resume

  • Experience in driving business value through data / data science
  • Manage in-take of demand, slotting into priorities and delivery of high-level estimation
  • Coding proficiency Python/R and ETL tools
  • Understanding of different lines of business; Medicare, Medicaid, and ACA
  • Working with the business units and product teams, scope and quantify new data-driven product concepts via business intelligence and analytics science
  • Create tracking frameworks – Define key KPI’s and architect dashboard reporting for working team, executive and senior executive use on an ongoing basis
  • M.S. with specialization in one of the following: Advanced Data Analysis, Statistical Modeling, Machine Vision, or Machine Learning
  • Responsible for gathering and documenting the detailed offering and platform requirements
4

Skills For Predictive Analytics Product Manager Resume

  • Experience with state of the art data science technology and tools: Spark MLlib, TensorFlow, scikit-learn, AWS ML, Azure ML, Zeppelin Notebook, Jupyter Notebook, RStudio, Scala, and Spark
  • Get a strong understanding of Avitas Systems & GE’s product offering and product strategy for industrial inspection marketplace
  • Experience leading a team through various cycles of product planning and implementation
  • Responsible for the data acquisition and analysis from tools, tickets, testing and sensing results
  • Perform market analysis of existing and emerging client needs, industry trends, and competitor analysis
  • Develop product value statement, ROI, user guides, training materials and conduct internal and external training
  • Support updating and modifying product roadmaps
  • Perform product writing and assistance for proposals, marketing documents, RFI and RFPs
5

Skills For Data & Analytics Product Manager Resume

  • Analytics Modelling / Techniques
  • CCBT’s, FET’s and CMI team in the countries where the product is being activated
  • Articulate problem solving methodology used to research and create solutions
  • Understand challenges from many points of view including from the perspective of a customer
  • Familiarity with Machine Learning / Big Data analytic techniques
  • Familiarity with SAS product suite including SAS MIP advantageous
  • Proficiency in advanced quantitative/statistical modeling, optimization techniques
6

Skills For Digital Analytics Product Manager Resume

  • SQL expertise and a statistical programming language, R, python, SAS, Stata
  • Document process and software system flow, based on user interviews, brainstorming sessions and current documentation
  • Understand Kohl’s strategic and competitive position to deliver market leading products and the data insights that showcase successes
  • Automate Demand Planning –
  • Collaborate with various stakeholders to analyze existing processes to understand business and data requirements
  • Create and deliver customer facing analytics reports and presentations
  • Provides concentrated focus on Big Data / Machine learning approaches and recommends how these approaches are applicable to the business
  • Data domain knowledge / exploitation
7

Skills For CIB Market Execution Analytics Product Manager VP Resume

  • Experience developing product roadmapsin collaboration with business stakeholders at all levels and SMEs, drawing on business domain knowledge and identifying opportunities for innovation based on the postholder’s understanding of what predictive analytics / machine learning can offer
  • Experience managing the operational execution of analytics projects from beginning to end,with particular emphasis on the initial assessment of business opportunities and ideation, prioritisation of viable projects, insight communication and embedding
  • Experience or exposure to people processes (e.g. talent management, reward, organisational development, etc.)
  • Experience designing analytics process workflowswhich define scope and activities for all areas engaged (i.e. functions and responsibilities for technical colleagues, business stakeholders, business translators, etc.)
  • Experience embedding analytics processesand coaching other product managers on how to manage end-to-end analytics projects
  • Experience customising and using JIRA and Confluence as the main tools for workflow process management of analytics projects
  • Deliver Intelligent systems at scale. Powering Business (cross functional) and Customer Development area through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future looking decisions leveraging Big Data & Data Science
8

Skills For Investor Services Business Data Analytics Product Manager Resume

  • Winning disproportionately in Markets. We believe that the best way to move the needle for Unilever in Analytics is to work with leading geographies to create analytics products that make a significant impact on our business
  • Drive Unilever to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams
  • Make data a true asset. Better data and data science access for every part of Unilever, across the 3 data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive
  • World-class Information: One Version of the Facts. Continued excellence in delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting
  • Experience in reporting / business intelligence / business analytics with increasing responsibility
  • Experience managing one or more Scrum teams using Scrum Agile
  • Demonstrate abroad understanding of the wireless market and business segment and make determination on direction
9

Skills For Data Visualization & Analytics Product Manager Resume

  • Experience bringing prototypes to production on Hadoop and/or NoSQL platforms
  • Experience in a product management or technical consulting role
  • Experience with software product delivery using Agile methodologies
  • Demonstrated expertise delivering analytics solutions in a global enterprise environment
  • Demonstrated leadership of technical design during all phases of development and deployment
10

Skills For Portfolio & Risk Analytics Product Manager Multi Manager Product Resume

  • Experience with visualization software (Tableau, Spotfire, Qlikview, d3.js)
  • Data analytics application development and behavior/predictive analysis experience
  • Leadership of high profile, high priority projects for one of the U.S.’s largest companies and most respected brands
  • Experience with Big Data or Database Concepts
  • Demonstrable execution experience with the relevant technologies including MicroStartegy, SQL Server, PowerBI, Azure Data Factory, HDInsights, or similar
  • Demonstrated ability to influence over authority to drive project deliverables

List of Typical Responsibilities For an Analytics Product Manager Resume

1

Responsibilities For Senior Analytics Product Manager Resume

  • Define our vector of differentiations (VODs) and competitive positioning. Develop novel ways to monetize new technology innovations
  • Serve as environment owner and SME for integration of additional data sources (up to and including new M&A activity)
  • Partner with product directors to understand overall product strategy
  • Define innovative data and analytics offerings, associated use cases and requirements based on industry understanding, input from customers, business and sales , and technology direction
  • Evaluate existing and new technologies, market trends and competitive offerings. Also benchmark analytics offerings business models in our market
  • Work closely with LoB offering owners, and the implementation teams including data scientists, solution architects, etc. to communicate and enable the customer value, achieve business objectives, and deliver the product opportunity
  • Evangelize and promote our analytics capabilities and strategy both internally as well as externally (e.g., Webinars, Demos, white papers, Training, Client Presentations)
  • Experience in product development from market strategy through ideation, prototyping to product launch including at least 5 years in data and analytics offerings space
2

Responsibilities For Data / Analytics Product Manager Resume

  • Fluent English, Great at working as part of a cohesive, integrated team
  • Work collaboratively with development/implementation staff through the define, design and build phases of new offerings and platform
  • Agile Management tools such as Jira or Rally
  • Provide Agile mentorship and guidance to teammates who are not well versed in Agile methodologies
  • Experience with multinational companies (preferably CPG) or IT consultancy companies in relevant analytics solution delivery demonstrating a progression of leadership roles
  • Knowledge about big data and AWS ecosystems (Spark, EMR, Redshift, S3, etc.)
  • Inherent interest in connected systems for industrial customers
3

Responsibilities For Business Intelligence & Analytics Product Manager Resume

  • Multi-task, remain objective and goal-focused under pressure
  • Expert in MS Excel; able to convert raw data into meaningful formats for analysis
  • Very strong interpersonal/communication skills (written and verbal) to effectively present findings, interactively develop project specifications and make recommendations to senior/executive management
  • Familiarity with mortgage credit risk models
  • Partner with business units, product owners, data scientists and development teams to translate potential data-driven ideas and requirements into fully developed product solutions
  • Lead Engagement function to help Champion ideas that lead to end-to-end visibility of the performance and health of PNB initiatives
  • Architect and create post-event and predictive analysis for PNB products from relevant rich data sources across Verizon and externally via the BI&A Engagement/Development Model
  • Creates specifications for reports and analysis based on business needs and required/ available data elements
4

Responsibilities For Predictive Analytics Product Manager Resume

  • Support, development, maintenance and administrator of Verizon Connect Enterprise Data Warehouse (EDW) data loads and ETL required to maintain data integrity
  • Development of logic to build new table structures, views and indexes as the warehouse expands in scope
  • Partnering with stakeholders (including but not limited to Finance, Marketing, Product, Customer Success) for leveraging data for cross functional initiatives including providing insight and into business intelligence, running ad hoc analysis
  • Ensure that EDW data elements and logic are aligned to data governance initiatives to ensure key metric principals are defined and followed across multiple organizations and lines of business
  • Build the product roadmap to ensure the P&L delivery of the product
  • Translate requirements to and insights from data scientist team needed to address opportunities / problem areas
5

Responsibilities For Data & Analytics Product Manager Resume

  • Own the delivery of the Product roadmap including co-creation of analytic innovations (working with the Data Scientist team) and acquisition of new data (working with the Data Expertise team)
  • M.B.A. in a relevant field with demonstrable understanding of business processes
  • EXL Analytics offers an exciting, fast-paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions
  • Develop and own a data and analytics platform product strategy and roadmap, with a clear ranking of priorities to align the organization and for technology teams to effectively plan and deliver against
  • Create and lead cross functional teams that deliver against key priorities, in a way that supports both analytics platform and team maturity, and that maximizes the company’s overarching strategies and approach
6

Responsibilities For Digital Analytics Product Manager Resume

  • Web or digital product management experience driving internal data and analytics platform strategies and executing across multiple technology teams
  • Experience with organizational initiatives and processes centered on improving data quality, including management of or partipcation in data governance frameworks
  • Experience building or evolving analytics platforms that support large data sets, multivariate testing, predictive modeling, and data visualization, across multiple database environments, leveraging Hadoop, Hive, Spark, etc
  • Outstanding strategic aptitude, with a high level of maturity and confidence in working with senior management and executives across the organization
  • Conduct BI analysis using various computer programs to mine data sources and look for trends
  • Analyze data trends using traditional statistical methodologies as well as newer techniques from computational statistics and data mining to derive & summarize data in a coherent fashion
  • Package the findings into an understandable format so that it can be shared
7

Responsibilities For CIB Market Execution Analytics Product Manager VP Resume

  • Utilize creative problem solving to transform the goals and objectives into a clear path toward identifying the problem statement. Develop and present strategic recommendations based on rigorous data analysis around how & where we do business
  • Deliver these findings in an effective manner for internal consumption by both segment and product marketing organizations, business leadership as well as make available to appropriate field organizations
  • Achieve program results and communicate at appropriate intervals and levels
  • Healthcare-related background, PBM
  • Own delivery of the budget
  • Work with the I&A in-market teams to scale in market developments into product features
8

Responsibilities For Investor Services Business Data Analytics Product Manager Resume

  • I&A Data Science team
  • Key business stakeholders the product is targeted to
  • I&A Technology teams
  • I&A In-market teams
  • I&A Data team
  • Support Advanced Analytics & Machine Learning and Product Management teams in the the development of successful go-to-market programs that enable sales to effectively position our products and solutions. These includes developing concept designs and leading customer demonstrable capabilities that highlight Avitas’ analytics and machine learning capabilities

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