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.
Performed research and development of Marketing Lift Models.
Measured incremental impact of marketing campaigns compared to baseline scenario.
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.
Worked on performance optimizations for Market Lift pipelines.
Achieved several increments of 30-40% performance improvements each in model runtimes using parallelization and other techniques.
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
Performed research and development of Marketing Mix Models used for optimization of CPG and EV client marketing strategies.
Supported regular fine tunable model refreshes with incremental time series data added to existing model.
Designed, developed, and tested performance optimizations for ML pipelines.
Achieved several increments of 20-30% performance improvements each in model runtimes using parallelization of Airflow DAGs, matrix operations, and mean centering.
Set up ML experiment, pipeline tracking, and orchestration using MLFlow.
Performed active feature development and statistical research to automate feature transformations, intelligent priors, feature selection, and interaction identification for media and auxiliary variables.
Led a team of assistant data scientists and data analysts to plan and deliver consistent feature releases to partnered product teams.
Created Market Mix Model for inference and forecasting (Digital Marketing).
Responsible for data analysis and delivering end-to-end market mix modeling based products to clients.
Developed ensemble running of multiple configuration to increase productivity.
Reduced model delivery time by 30%.
Performed visualization and exploratory data analysis using Python and Tableau.
Prepared deck for socialization.
Worked on media optimization using gradient descent.
Developed regression testing tool for integration testing.
Performed data cleansing and missing value imputation handling large files using data.table and dplyr.
Automated custom data processing scripts for future refreshes to reduce delivery times.
Used advanced statistical techniques in tandem with insights from data analysis to reduce dimensionality of problem statement.
Performed exploratory data analysis using Tableau and Rstudio.
Understood relationships between different variables through extensive charting and analytical exploration of the data.
Performed EDA in large data sets by creating R scripts.
Developed statistical inference models to understand the impact of media activity on market response.
Used advanced statistical methods like Partitioning Partial Least Squares Regression along with high dimensional modeling.
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