- Developed and led the end-to-end creation of Jiva's Customer Behavioural Analysis - predictive model, based on Linear Regression and Decision Tree.- Collaborated closely with the Growth team to perform cohort-based analysis on onboarded customers, success, and adoption of various promo campaign schemes with the help of PostgreSQL on Metabase.- Formulated problem statements using the 5W & 1H method and defined North Star metrics with the HEART framework.- Created a robust system to integrate daily Retailer visits data from an external company app into Jiva’s internal Data Warehouse.- Developed a range of DBT transformations (analytics layer) to establish an independent view sourced from various tables and sources, synced through Fivetran ETL Tool. Created an independent view to streamline data flow for standalone analysis and dashboarding.- Assisted the operations team in developing sales performance metrics, which facilitated target-setting.

- Converted raw or refined data into actionable insight by predicting and modelling future outcomes.- Utilized MySQL, MS Excel and Tableau for ETL steps and Dashboard creation respectively for Storytelling.- Possessed knowledge of Python language with NumPy, Pandas, SciKit, matplotlib and seaborn libraries.- Utilized Python and Exploratory Data Analysis methods to clean data and perform Univariate and Bivariate Analysis.- Hands-on knowledge of MS Office tools, Java, Git. Sound knowledge of Machine Learning Algorithms like Linear Regression and Logistic Regression.