Collaborated with the Data Science team to drive the development of NBA 2.0 model, by automating data extraction, refactoring 17 subproducts using Git, and implementing rigorous cross-system validation processes, resulting in enhanced targeting capabilities.
Enhanced the existing NBA model using machine learning by leveraging demographic similarity to compensate for the limited availability of transaction-level data. Designed a matching strategy that aligned customers with sparse transaction-level data to lookalike profiles from the high available data segment. Conducted a pilot with a 5% test sample, achieving a 3% uplift in conversion rate for the test group, driving improved targeting precision and customer satisfaction.
Data Analyst
Vymo Technologies Pvt Ltd
Bengaluru
07.2018 - 06.2021
Revamped an average lead's TAT by over 20% by building a predictive model using Sklearn module and PySpark that helps over 80000 sales agents prioritize their allocated leads.
Profiled and Ranked over 40000 sales agents for different business use-cases using clustering techniques.
Utilized a logistic regression-based model to recommend the mid- and bottom-tier agents' optimal course of action after learning from the top agents' indicators of positive behaviour, and boosted their planned meetings and calls by 25%.
Generated analytical reports for QBRs to demonstrate how Vymo performed for multiple clients in terms of adoption, lead management, activity management, user visibility, and performance over the course of several quarters.
Education
MSc - Data Science
University of Exeter
Exeter, Devon
09.2022 - 09.2023
Master of Business Administration -
Birla Institute of Technology and Science, Pilani
India
08.2016 - 07.2018
BTech - Computer Science and Engineering
Heritage Institute of Technology, Kolkata
India
08.2011 - 06.2015
Skills
Data Analytics & Modeling: Predictive Analytics, Hypothesis Testing, Dimensionality Reduction, Deep Learning, Customer Segmentation
Data Engineering & Wrangling: Python, Pandas, PySpark, SQL, MS Excel
Business & Communication: Problem-Solving, Stakeholder Management, Analytical Storytelling, Experiment Design and Implementation
Machine Learning: Model Development, Model Validation, Feature Engineering, Lookalike Modeling