Anubhav Dikshit

Projects

Skills

Experience

• Nepa - Master Thesis Project
  January 2020 - June 2020

  Master thesis project to investigate the viability of Bayesian Networks as market attribution model:
  • Design and implement Bayesian Networks for market attribution model of a retail data
  • Benchmark the models against the industry standard
  • Implement an R package satisfying CRAN standard

• TheMathCompany - Associate
  October 2017 - June 2018

  Working in a 4-member team for the Marketing VP of the largest entertainment retail company based out of the US, covering marketing and retail analytics:
  • Built a Market Mix Model which was used to identify the best promotion offers
  (in terms of ROI and reach), this led to more ROI for marketing spend while still maintaining the desired customer reach levels
  • Implemented a simulator (built on the model equation) for the marketing team to plan the marketing budget allocation by channel
  • Designed a Dynamic Pricing Model using Monte Carlo Simulation, this led to increasing the revenue of the company while maintaining the customer satisfaction

• Artoo - Data Scientist
  August 2015 - September 2017

  Headed and set up the analytics division in a startup, my day to day activity involved providing Ad-hoc Analysis to both Artoo and its clients:
  • Worked with a Behavioral Science team based out of US to implement A/B testing at Artoo, this allowed for quick iterations of our product
  • Created and Maintained a Tableau dashboard to track 40 odd KPI to evaluate and monitor company’s (Artoo as well as clients) performance and issues
  • Developed and maintained Machine Learning models (Supervised) of high accuracy to predict various financial parameters using geographic and micro parameters. This enabled quick turnaround time, reduced and detected fraud and improved user experience

• Mu Sigma - Trainee Decision Scientist
  June 2014 - August 2015

  Worked in the Field operation team for a major US-based pharmaceutical company as the team lead. Single handled designed and revamped the field force for a blockbuster drug which involved the following
  process:
  • Interacting with Clients to understand the Business needs
  • Sales force sizing
  • Customer Segmentation
  • Call Planning