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Voice Analytics Product Owner Resume

SUMMARY

  • Expertise in transforming business requirements into analytical models and reporting solutions that scale across structured and unstructured data.
  • Experience in designing visualizations, publishing and presenting dashboards and storyboarding.
  • Strong programming skills with experience in working with API’s.
  • Experience in collaborating with Strategy, Marketing and Operations for creating enterprise solutions.
  • Experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Waterfall and Agile methodologies.
  • Adept in statistical programming languages like R and Python.
  • Experience with Data Analytics, Data Reporting, Ad - hoc Reporting and Graphs.
  • Knowledge of working with Proof of Concepts and gather necessary data for analysis from different sources.

TECHNICAL SKILLS

Database: Oracle, MS Access, MySQL, SQL Server, MongoDB

BI Tools: R-Shiny, SPSS

Languages: PL/SQL, XML, Python, R, T-SQL, C, C++, JAVAHTML, UNIX shell scripting, PERL, PHP, JavaScript, VXML

Methodologies: System Development Model, Agile

PROFESSIONAL EXPERIENCE

Confidential

Voice Analytics Product Owner

Responsibilities:

  • Led a team of engineers, data scientists and designers
  • Used R to automatically generate reports. Worked with voice files and conversation logs, internal records, 3rd party data sources, JSON and more.
  • Performed Exploratory Data Analysis and Data Visualizations using R.
  • Implemented end-to-end systems for Data Analytics, Data Automation and integrated with custom visualization tools using R and MongoDB.
  • Gathering all the data that is required from multiple data sources and creating datasets that will be used in analysis.
  • Independently coded new programs and designed Tables to load and test the program effectively for the given POC's using with Java
  • Designed data flow diagrams using Balsamiq and MS Visio.
  • Established data architecture strategy, best practices, standards, and roadmaps.
  • Created customized business reports for sharing insights to the management.
  • Proposed architecture and solution to gauge customer satisfaction, sentiment and experience through text mining and analysis .
  • Leveraged design thinking principles for best practices and methodologies.
  • Built agile user stories and product requirements to facilitate product delivery.
  • Increased revenue by 8% through new sales for the financial year.

Environment: R 3.0, PL/SQL, JAVA, R Studio, Shiny, JSON, MongoDB, IBM Watson

Call Flow Analytics Product Owner

Confidential

Responsibilities:

  • Setup storage and data analysis tools in client-server infrastructure.
  • Converted raw data to processed data through normalizing, finding outliers, errors, trends, missing values.
  • Worked with Data Architects and IT Architects to design the movement of data and its storage.
  • Participated in all phases of data mining, collection, validation, visualization and performed Gap analysis.
  • Explored deep learning tools on NLP tasks, and extracted information based on speech tagging and entity recognition
  • Communicated with team members, leadership and stakeholders on findings and suggested best practices are incorporated into business processes.
  • Performed feature and competitor analysis to define product offering in support of market and pricing.
  • Conducted customer insight studies to create a holistic view of a market to support decision making.
  • Defined and deployed product for clients by working closely with sales engineers and marketing team.
  • Increased revenue by 30% through new sales for the financial year.

Environment: MongoDB, JSON, XML, R, SQL Server, Java, Linux, MySQL, IBM Watson

AR/VR Vendor Market Research Analyst

Confidential

Responsibilities:

  • Generated factually-supported recommendations for clients, highlighting promising areas for growth.
  • Designed marketing and sales strategy to achieve the financial goal.
  • Conducted analysis in assessing customer behaviors and discover value of customers, applied customer segmentation with clustering algorithm.
  • Researched market and product forecasts for Marketing & Sales and Program Management.
  • Analyzed and researched different market trends in AR/VR solutions across North America.
  • Used prediction model to rank the importance of features and deliver feature engineering.
  • Recommended and evaluated marketing approaches based on quality analytics on customer consuming behavior.
  • Performed data visualization and provided reports, including charts, summaries, and graphs to interpret the findings to the team and stakeholders.
  • Developed strategic roadmap to enter new markets and generate additional revenue streams.
  • Increased the valuation of the company by 25%.

Environment: MySQL Server, Windows, MS Excel

Market Research Analyst - Business Payment Processor

Confidential

Responsibilities:

  • Analyzed the company from a fundamental and technical standpoint while tracking market trends.
  • Identified, composed and presented micro and macro-trends effecting the payment businesses and function-specific product trends to fuel innovation and anticipate customers' future needs.
  • Performed architectural analysis to identify critical success factors and technology drivers.
  • Performed competitor analysis, identified key technology drivers and major industry trends
  • Created and presented results to key stakeholders and marketing teams.

Environment: MySQL Server, Windows, MS Excel

Statistical Analyst

Confidential

Responsibilities:

  • Planned methods to collect information and assisted in questionnaire design.
  • Implemented survey development and implementation, monitoring of data collection and sample management.
  • Cleansed raw data from various database sources to make them usable for analysis.
  • Developed a framework with leading researchers to develop new value of a brand based on various tangible and intangible characteristics.
  • Provided insight into data and offered suggestions on possible improvements.

Environment: MS Access, MS Excel, Qualtrics

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