Pratyush Dash

Experience

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  Affine Analytics

  Aug 2016 - Feb 2017

  Business Analyst

  ►Regression Modelling: Created a regression model to forecast the total volume sales of consoles based on different key attributes this helped the client to understand the effect of marketing spend variation on sales►Engagement Report design: Designed a console engagement report that identified quarter wise the top games and apps by plotting game time distribution and app time distribution(time distribution is the metric where we find out how much time is spent ongames and apps by a user) respectively►Customer Lifetime Value Modelling: Developed a customer lifetime value model to provide targeted marketing recommendations on the basis of the recency, frequency and monetary scores of the customers. A Logistic Regression model was used to forecast high valued customers►Adhoc Requests: Addressed all ad-hoc requests submitted to the team, from all portfolios handled by the company, including reporting, descriptive analysis, and building advanced excel reports►Report Generation: Prepared daily, weekly, and monthly reports and models by using SQL queries to pull data and performing QCs on the data Show less

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  ZS

  Apr 2017 - Apr 2018

  Decision analytics associate

  ►Tool Building: Designed a reporting tool consisting of sales, marketing, calls, doctor-level data which helped the client to develop a core tactical plan for pre-launch readiness►Incentive Compensation Plan Design: Designed an incentive compensation plan for the sales representatives for different drugs. This helped the client to redistribute its resources accordingly for attracting, motivating and rewarding its sales representatives►Data Harmonization, Quality Check: Cleaned client data to make it look simpler to understand and conducted exploratory data analysis on the harmonized data using SQL and Microsoft Excel►Report Generation: Prepared monthly and quarterly reports for sales, marketing, call activity and incentive compensation by using SQL queries to pull data and performing QC's on the data Show less

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  Oklahoma State University

  Aug 2018 - May 2020

  • Graduate Research Assistant

    Jan 2019 - May 2020

  • Graduate Student

    Aug 2018 - May 2020
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  Comcast

  Jun 2019 - Nov 2019

  Data Science Intern

  ► Topic Modeling: Identifying topics related to different departments using customer call transcripts. The main objective after finding calls related to technical department was to identify if there was a successful technician visit for the same or not ► Feature Engineering: Creating features out of call transcripts to predict successful equipment swaps. This model was very important to minimize losses due to invalid equipment swaps. Features were created out of device level data and device real-time data Show less

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  Novartis

  Nov 2020 - Feb 2022

  Senior Analyst
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  AB InBev

  Feb 2022 - now

  • Data Analytics Specialist

    Feb 2023 - now

  • Data Scientist

    Feb 2022 - Jan 2023