Analytics & Decision Science practitioner with more than 6 years of experience. Experienced in the field of AI/ML/Data Science with proven skills in converting proof of concept to production ready scalable solution. Pass…
Analytics & Decision Science practitioner with more than 6 years of experience. Experienced in the field of AI/ML/Data Science with proven skills in converting proof of concept to production ready scalable solution. Passionate about everything Machine Learning, Maths, Programming and Data Science.
<p>Performed research and development of Marketing Lift Models.<br>
Measured incremental impact of marketing campaigns compared to baseline scenario.<br>
Utilized advanced statistical techniques such as A/B testing, synthetic control matching, and difference-in-difference analysis to assess campaign effectiveness and optimize marketing strategies for improved ROI.<br>
Worked on performance optimizations for Market Lift pipelines.<br>
Achieved several increments of 30-40% performance improvements each in model runtimes using parallelization and other techniques.</p>
Analytics & Decision Science practitioner with more than 6 years of experience. Experienced in the field of AI/ML/Data Science with proven skills in converting proof of concept to production ready scalable solution.
currently working in Market Lift(geo lift) and Market Mix modelling team.
Programming languages : Python, R, SQL, Spark
<p>Performed research and development of Marketing Mix Models used for optimization of CPG and EV client marketing strategies.<br>
Supported regular fine tunable model refreshes with incremental time series data added to existing model.<br>
Designed, developed, and tested performance optimizations for ML pipelines.<br>
Achieved several increments of 20-30% performance improvements each in model runtimes using parallelization of Airflow DAGs, matrix operations, and mean centering.<br>
Set up ML experiment, pipeline tracking, and orchestration using MLFlow.<br>
Performed active feature development and statistical research to automate feature transformations, intelligent priors, feature selection, and interaction identification for media and auxiliary variables.<br>
Led a team of assistant data scientists and data analysts to plan and deliver consistent feature releases to partnered product teams.</p>
<p>Created Market Mix Model for inference and forecasting (Digital Marketing).<br>
Responsible for data analysis and delivering end-to-end market mix modeling based products to clients.<br>
Developed ensemble running of multiple configuration to increase productivity.<br>
Reduced model delivery time by 30%.<br>
Performed visualization and exploratory data analysis using Python and Tableau.<br>
Prepared deck for socialization.<br>
Worked on media optimization using gradient descent.<br>
Developed regression testing tool for integration testing.</p>
<p>Performed data cleansing and missing value imputation handling large files using data.table and dplyr.<br>
Automated custom data processing scripts for future refreshes to reduce delivery times.<br>
Used advanced statistical techniques in tandem with insights from data analysis to reduce dimensionality of problem statement.<br>
Performed exploratory data analysis using Tableau and Rstudio.<br>
Understood relationships between different variables through extensive charting and analytical exploration of the data.<br>
Performed EDA in large data sets by creating R scripts.<br>
Developed statistical inference models to understand the impact of media activity on market response.<br>
Used advanced statistical methods like Partitioning Partial Least Squares Regression along with high dimensional modeling.</p>
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