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Sanchita More

@sanchitamore

Data Science IT Manager at Procter & Gamble

Mumbai, MH

Procter & GambleK J Somaiya College of Engineering, Mumbai University

Data Science Professional with over 4 years of experience in e-commerce and retail. She specializes in campaign and promotion optimization, real-time search engine development, and machine learning applications. Sanchita has a proven track record of driving significant revenue growth and operational efficiency at major platforms like P&G and PharmEasy.

Experience

Data Science IT Manager

Procter & Gamble

Jul 2023 - Present

Developing and managing data science products for e-commerce of P&G India. Created and deployed a product for Amazon to generate optimal campaigns with smart SKU-focused bidding for improved RoAS and efficiency. Experimenting with ad optimization algorithms for Flipkart to improve RoAS by 50%+. Built a product to aid Market Strategy & Planning team for optimizing Trade Spends across 13 brands, achieving annualized savings of INR 15 Cr+.

Senior Data Scientist

PharmEasy

Jun 2019 - Jul 2023

Generated INR 100 Cr+ Revenue. Developed a transformer search to achieve 3% increase in ATC and delivered 2.5% increase in CTR via recommender systems. Built Natural Language Augmentor for synthetic data generation and a Named Entity Recognition model with 80% accuracy. Implemented Learning to Rank models and ensemble classifiers. Supervised interns and mentored colleagues while automating pipelines to increase delivery efficiency by 300%.

Education

K J Somaiya College of Engineering, Mumbai University

B.Tech

CS

Jan 2019Grade: 8.34/10

St. Joseph’s High School & Junior College

Class XII

HSC

Jan 2015Grade: 93.85

St. Joseph’s High School & Junior College

Class X

SSC

Jan 2013Grade: 93.83

Skills

Natural language Processing (NLP)
Transformer
LSTM
Recurrent Neural Networks
Convolutional Neural Networks
BERT
Machine Learning
Reinforcement Learning
Classification
Regression
Clustering
Learning to Rank
Recommender
Collaborative and Content based Filtering
Matrix Factorization
Neural Collaborative Filtering
Python
PyTorch
SQL
Azure
Databricks
AWS
Data Engineering
Requirements Gathering
Docker
Git