Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Trina Naskar

Trina Naskar

Bengaluru

Summary

Accomplished Senior Data Scientist with a proven track record at building scalable recommendation engines across various geographies. Expert in Azure ML and Databricks, with a knack for predictive modeling and strategic solution design. Demonstrated success in leveraging statistical analysis to drive decision-making and improve marketing campaign effectiveness.

Overview

8
8
years of professional experience

Work History

Senior Data Scientist

Quantzig
11.2021 - 09.2024
  • Developed and managed scalable recommendation engine pipelines for beverage sales on an app across six countries, using user-history and targeted upsell models. Leveraged Azure, Databricks, and Pyspark to ensure efficient data processing and delivery.
  • Built and optimized reporting architecture for ad-hoc analysis, sales targets, KPIs, and A/B testing of marketing campaigns. Integrated the solution with Microsoft Arena for quality management and testing of recommendation models to ensure high performance and accuracy.

Data Science Associate

The Math Company
10.2019 - 08.2020
  • Customer Acquisition Score - Quantifying and calculating the quality of acquired customers at a daily level for an ecommerce giant
  • Premiumization of purchases - Upgrade the brands of products and articles bought by customers by producing more premium recommendations in order to increase the average item selling price

Decision Scientist

Mu Sigma
09.2016 - 10.2019
  • Recommendation Engine for a Multinational Technology Company - Built a customized and generalized recommendation engine to identify and prioritize relevant services to recommend to various businesses across different verticals. The customers with distinct profiles for generalized targeting were segmented and and the consumption pattern was leveraged to facilitate personalized targeting
  • Customer Migration Propensity Model for a Multinational Technology Company - Built a framework that enables business stakeholders to make decisions based on the likelihood of customers to migrate to a new pricing model along with identifying significant features driving the same. Based on multiple brainstorming sessions with the stakeholders we tested a variety of hypotheses that the business wanted more insight on. The back-end of the framework has a classification model which would predict the customer's propensity to migrate using a variety of machine learning algorithms

Education

Bachelor of Technology - Computer Science And Engineering

NIT Allahabad
03.2016

Skills

  • Statistical Analysis and Machine Learning
  • Predictive Modeling
  • Solution Design & Storyboarding
  • Azure ML
  • Databricks
  • Pyspark, Python, R
  • PowerBI

Accomplishments

  • SPOT AWARD For taking ownership under pressure and consistently performing during prototype and scaling phase of a unified platform
  • Cofounded an NLP startup and provided educational guidance and mentorship to aspirants and professionals in Data Science and Analytics

Timeline

Senior Data Scientist

Quantzig
11.2021 - 09.2024

Data Science Associate

The Math Company
10.2019 - 08.2020

Decision Scientist

Mu Sigma
09.2016 - 10.2019

Bachelor of Technology - Computer Science And Engineering

NIT Allahabad

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Trina Naskar