SHRIJA KALE
PUNE,INDIA
Summary
Senior Data Scientist | Supply Chain & Analytics Expert (11+ Years)
Dynamic Data Science leader with over a decade of experience delivering high-impact predictive solutions across the Financial, Automotive, and Software sectors. Expert in translating complex data into strategic business value, specializing in Demand Forecasting, Causal Inference, and Explainable AI to optimize global supply chains. A multilingual professional with a Goethe-Institut C1 German certification, I thrive in multicultural environments, bridging the gap between technical execution and stakeholder vision. Proven track record in deploying scalable ML models using Databricks, Azure ML, and Snowflake to drive data-driven transformation.
Overview
11
11
years of professional experience
6
6
years of post-secondary education
Work history
SENIOR MANAGER - DATA SCIENCE
MICHELIN
PUNE, INDIA
2022.08 - Current
- Developed a Graph data simplification model
to predict crashes, focusing on eliminating redundant and noisy nodes as a critical data preprocessing step. Leveraged Graph modeling techniques to improve the accuracy and efficiency of crash predictions by streamlining the input data and enhancing model performance. - Demand Forecasting:
Developed an unconstrained demand forecasting model at SKU-DC level using CatBoost and LightGBM, incorporating feature engineering, outlier handling, and bias correction to minimize MAPE across multiple supply chain levels. - Created SKU classification framework with time-series clustering based on parameters like demand variability, volume categorisation, sparsity, and frequency categorisation for optimized inventory management and demand-driven stocking.
- Crash prediction using geospatial data:
Leveraging advanced algorithms like Clustering, Similarity algorithm using autoencoder, Counterfactuals analysis using Reinforcement learning. Four step solution developed viz. Feature generation, Statistical Insights, ML modeling and identification of contributing factors. - US State roads severity analysis:
Identified high-risk roads in Missouri state by conducting before-and-after Atypicity analyses leveraging driving behavior data using event data, trips data. Conducted Speeding analysis and different POI's we gained deep insights into potential road safety risks.
Senior Lead - Data Science and Engineering Unit
Bajaj Finance Limited
Pune, India
2020.02 - 2022.08
- Responsible for stakeholder management, presentation to C-suite executives, conceptualization of solution, logic creation, implementation and productionisation of solutions for Insurance, Investments and Lending business units. Lead a 7 member team.
- Built a Recommendation engine for Insurance products
for in-house App platform basis customer's historic behavior with Bajaj finance and competition. Involvement right from data creation, curation, model creation, code optimization and automation. - Creation of Real time triggers for Health and Motor Insurance by creating feature engineered variables from Raw text using NLP, Naive Bayes classifier and Topic modeling.
- Maintaining On-app/ digital Recommendation models for Health Insurance, Motor Insurance and Pocket Insurance.
- Designed Data Strategy for Customer targeting for fixed deposits as an Investment Instrument. Hypothesis testing was involved to deduce customer behavioral attributes related to Affluence and Investment affinity.
- Creation of Data repositories for Insurance and Investment business. Data curation from 42 core tables, 236 feature engineered variables created and 36 tags created from customer's Appographic information.
Senior Software Engineer - Analytics
SAS R&D India Pvt Ltd
Pune, India
2017.12 - 2020.02
- Machine learning Pipeline: Writing end to end modelling pipeline (data preprocessing, missing value imputation, hyperparameters tuning, model building, scoring etc.) in Python for a prediction problem, using Random Forest.
Hands-on experience with Amazon EC2, S3 and EMR. Ability to build deployment on AWS, build scripts (boto3) and automated solutions using Shell, Hive and python. - Usage of Factorization machine algorithm for Recommendation generation: Previously recommendation engine was built on SAS, but with migration of SAS to cloud, i.e. CAS there was a need to replace recommendation engine algorithm with a compatible and comparable algorithm to previous one.
Manager - Advanced Analytics
Bajaj Finance Limited
Pune, India
2015.06 - 2017.12
- Recommendation engine for Consumer Durable
Products : Used Machine Learning technique of Collaborative Filtering which uses similarity function for prediction of next best product. - HR Attrition Analysis:
Employee attrition Model was built using Machine learning technique of Random Forest along with decision tree to predict the reason for attrition. - Email Categorization:
Developed a text classification model in which customer emails were categorized into 3 categories using NLP in R and Python. Data pre-processing was done using relevant phrase extraction and used these phrases in model development. - Developed Propensity Models for Salaried Home loans, CD High value loan seekers, clickstream analysis etc.
Education
Post Graduate Diploma in AI & ML -
International Institute of Information Technology Bangalore
Bangalore 2022.02 - 2023.01
Master of Science - Statistics
Savitribai Phule Pune University
Pune 2013.06 - 2015.05
Bachelor of Science - Statistics
Fergusson College
Pune 2010.06 - 2013.05
Skills
Data Science Skills:
Machine Learning, Demand Forecasting, Time series, Statistical Modelling, Explainable AI, Causal inference, Deep learning, Graph Database, Graph Models, Predictive Analytics, NLP, CV, Time series, Marketing Analytics, Risk modelling, Recommender Systems, Transformers-based models, Actuaries, Supply Chain Analytics, Geospatial data analysis, Telematics data processing
Tech Stack
Azure ML, Snowflake, Databricks, SAS, SQL, PySpark, Hive, MLOPs, Python, R, Git, Shell Scripting, Airflow, AWS Redshift
Languages
English
Native
German
Advanced
French
Beginner
Dutch
Beginner
Timeline
SENIOR MANAGER - DATA SCIENCE
MICHELIN
2022.08 - Current
Post Graduate Diploma in AI & ML -
International Institute of Information Technology Bangalore
2022.02 - 2023.01
Senior Lead - Data Science and Engineering Unit
Bajaj Finance Limited
2020.02 - 2022.08
Senior Software Engineer - Analytics
SAS R&D India Pvt Ltd
2017.12 - 2020.02
Manager - Advanced Analytics
Bajaj Finance Limited
2015.06 - 2017.12
Master of Science - Statistics
Savitribai Phule Pune University
2013.06 - 2015.05
Bachelor of Science - Statistics
Fergusson College
2010.06 - 2013.05