Building and automating data and machine learning pipelines for several advanced analytical use casesDemonstrating expertise in measuring the ATE of marketing campaigns to optimize marketing investmentExpertise in Market Mix Modeling, Causal Inference, ATE/CATE, and Uplift Modeling to support advanced analytics initiativesSpecializing in Time Series forecasting and Predictive Analysis using machine learning to support business decision-makingA/B testing, Quasi Experimental DesignsExperience building and automating ETL workflows using Airflow and Azure web Apps to optimize data pipelines and increase efficiencyResponsible for marketing data-related reporting (performance and growth)Developing Web scrapers and crawlers to monitor competitors' data and inform strategic decision-makingHandling of the day-to-day BI operations and making sure all stakeholders are not blocked

Extracting the data and report adaption from SAP HANADesigning the big queries using Query toolsAnalyze the data trends and data wrangling with SAP BO Data Visulaization and Dashboards using TableauPrediction of fuelcconsumption with Machine Learning

• Implemented novel machine learning algorithm for automatic generation of potentially good features from the raw data• Capturing interactions among categorical features that enhanced learning for real-world datasets• Automated the Feature Engineering part in machine learning pipeline database• Improved the overall performance of ML models by 9% through optimizing the existing methods

• Image segmentation and Contour detection• Gold Nano rods and chip card detection using SSD MobileNet v1 model• Built Convolutional Neural Network to classify the images

• Built ETL pipeline to extract data using spark from S3 bucket• Data validation and Data Insertion into Database• Built ML model to predict a wafer needs to be replaced or not using sensor data• Deployed the ML model using Heroku API