Data Science Manager
11 Years of Experience
Bengaluru, Karnataka, India
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Not Available
Self-starter and driven Data science/Machine learning professional with 10+ years’ experience in the development & execution of statistical and machine learning models to enhance decision making. Proven track records of delivering complex innovative solutions, in the field of Retail , Supply chain ,Cybersecurity. Tech stack - Python,SQL, Databricks, Azure , GCP ML Methods - RandomForest , Logistic Regression, SVM, Time Series Forecasting, Deep Learning(LSTM,Feed Forward NN), A/B Testing(CUPED,Parametric,Nonparametric), NLP, Causal Inference
AB InBev, Others, Information Technology & Services
Publicis Sapient
Landmark Group
AB InBev, Publicis Sapient, Landmark Group, Lenovo, Tata Elxsi, Dell EMC, Danone
Job Title : Data Science Manager
Company name : AB InBev
Period : September 2022 - Present
Summary : Tech lead & individual contributor for Product development team -Experimentation platform (based on Causal Inference Methodologies) & Recommendation Systems
Majorly working on code base to develop Matrix-Completion based Counterfactual Estimation (Won Daniel H Wagner prize 2022) for large scale experimentation
Building different variants of Recommendation Engine for different stores across the geographies using TensorFlow, Keras & native Python
Building & maintain Data pipelines on MLFlow
Deployed ML applications using MLFlow in Azure cloud environment
Engage with multiple verticals & onboarded internal clients into our platform & help to estimate value creation on Brands / Algorithms / Strategy using design of experiment or measure the incrementality
Work with collaboration of MIT Research associates
Managing Sprints & mentored junior data scientist
Working on active development of designing Product Roadmaps for research-oriented products
Impact – Helping business to move the needle for intended KPIs and proper budgeting and allocation
Job Title : Senior Data Scientist-II /Lead data Scientist
Company name : Publicis Sapient
Period : April 2020 - September 2022
Summary : •Tech lead & individual contributor for Restaurant Based business chain working on Personalisation & Experimentation team
•Responsible for building A/B testing platform for different marketing campaigns in GCP environment. (CUPED,
Parametric & Non-Parametric techniques)
•Build Personalized offer engine using Recommender System (Collaborative, Content based filtering techniques & text
feature extraction/using NLP techniques from offer description data)
•Impact – Digital Penetration & Frequency increased by significant number
Location : Greater Bengaluru Area
Job Title : Data Scientist
Company name : Landmark Group
Period : September 2018 - April 2020
Summary : •Tech lead & Individual contributor for Inventory & CVM data science solution for LMG all the business function at GCC
market
•Design & developed robust forecasting architecture using (ARIMA, LSTM, Ensembles methods)
•POC on Fashion Discovery Engine /Similar Apparel Recommendation using Text description & images (like TF-IDF, Word
Embeddings, Avg-Word2vec, TF-IDF Word2Vec)
•Impact – Solution helped GCC business to reduce Out of Stock (OOS) & Lost sales
Location : Greater Bengaluru Area
Job Title : Data Science Consultant
Company name : Lenovo
Period : August 2017 - August 2018
Summary : •Module lead for HRIS data solutions
•Design & developed Attrition risk model for Employees using employee, salary & survey data
•Design & developed Job recommendations from resume map (TF-IDF, Word Embeddings, Avg-Word2vec, TF-IDF ,Word2Vec & fuzzy distance metrics)
• Impact – Solution helped HRIS team to focus on Retention strategies and HR automation
Location : Bengaluru, Karnataka, India
Job Title : Data Scientist
Company name : Tata Elxsi
Period : June 2016 - August 2017
Summary : •Working for Cybersecurity clients
•Design & developed Malicious/Virus type and prediction using assembly level code and byte level code using Deep Learning & classical machine learning algorithms( SVM, Random Forest,Xgboost)
• Impact – Solution help clients to reduce the mean response time to resolve
Location : Bengaluru, Karnataka, India
Job Title : Aasociate Data Scientist
Company name : Dell EMC
Period : January 2015 - June 2016
Summary : • Working for Marketing innovation labs
•Propensity Models for leads, opportunities and using Regression analysis
•Text Extraction and summarization – to extract relevant content from online news articles and other data sources to determine
the brand value
•Impact – Solution help clients to understand the brand image when it acquires EMC square
Location : Bangalore Urban district, Karnataka, India
Job Title : Product Analyst
Company name : Danone
Period : February 2011 - July 2014
Summary : •HCP targeting & profiling using Data
•Data quality assessment & doing very basic data analysis & insight generation
Location : Greater Kolkata Area
Title : AB Testing
Issuing Authority : DataCamp
Title : Customer Segmentation
Issuing Authority : DataCamp
Title : End to End ML using GCP
Issuing Authority : Coursera
Title : Extreme Gradient Boosting
Issuing Authority : DataCamp
Title : Feature Engineering GCP
Issuing Authority : Coursera
Title : Forecasting Product Demand
Issuing Authority : DataCamp
Title : HR Analytics using Python
Issuing Authority : DataCamp
Title : Introduction to NLP
Issuing Authority : DataCamp
Title : Introduction to Tensorflow
Issuing Authority : Coursera
Title : Linear Classifier in Python
Issuing Authority : DataCamp
Title : ModernisingData Lakes in GCP
Issuing Authority : Coursera
Title : Supervised Machine Learning
Issuing Authority : DataCamp
Title : Supply Chain Optimization
Issuing Authority : DataCamp
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