Jan 2024 – Nov 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

• Developed and automated data-driven frameworks to analyze inventory health and funnel performance to optimize promotional strategies, maximize conversion rates and ROI.
• Designed and implemented data-backed pricing strategies using MS Excel for the Sports and Footwear category using exploratory data analysis (EDA) to enhance competitive positioning and revenue growth.
• Streamlined reporting workflows for Sales, Marketing, and Revenue Optimization by automating data pipelines using Python and SQL, ensuring real-time insights and proactive KPI monitoring.
• Developed predictive machine learning models in Python to analyze user drop-off patterns, implementing statistical significance testing to validate findings and prioritize high-impact friction points in the purchase funnel.
• Identified customer cohorts based on purchase behavior, engagement trends, and demographics, enabling targeted marketing strategies and personalized product recommendations.
• Conducted deep-dive analyses using SQL and Python, visualizing user behavior and retention metrics through interactive Power BI dashboards that informed strategic planning and business decision-making.

Mar 2023 – Jan 2024 · 10 mos · Bengaluru, Karnataka, India

• Enhanced conversions and cut acquisition costs through collaborative data analytics with marketing teams.
• Developed precise customer segmentation models (SQL, Python, data tools) for high-engagement campaigns.
• Led cross-functional teams in tech-driven strategies for data-fueled business growth.
• Utilized SQL, Python, Excel, PowerBI for robust data extraction, transformation, and analysis.
• Key role in optimizing campaigns through implemented and tracked marketing experiments.
• Drove automation via Redash for dynamic dashboards, alerts, and data visualization.
• Identified operational inefficiencies, recommending enhancements for improved efficiency.

Jun 2022 – Feb 2023 · 8 mos · Bengaluru, Karnataka, India

• Worked as an Analyst to analyze and fix system issues in a State Healthcare project.
• Mostly associated with technical and business solutions for system bugs.
• Wrote SQL queries to extract data from databases.
• Analyzed clients’ data to identify trends and optimize the system they are working on.
• Worked on performance analysis of the system to identify and fix them to meet the target Service Level Agreement.
• Prepared dashboard and reports using Power BI
• Debugging, Resolving & Fixing issues using JAVA.

Jan 2022 – Feb 2022 · 1 mo

• Researching for used cases of ML in space tech.
• Developed content for courses on machine learning algorithms.
• Wrote sample code for machine learning projects.
• Developed predictive models using Python and R.
• Collaborated with other developers on projects.
• Creating Assignments based on the ML-tech program launched.

Mar 2021 – May 2021 · 2 mos · Delhi, India

• Gathered unstructured data from different data sources.
• Converted data into different data formats according to the requirement
• Performed data cleaning using Pandas library.
• Performed data analysis and visualization using Matplotlib & Seaborn.
• Performed ingestion and extraction of data from different data pipelines using Python.
• Worked on Virtualization and learned about docker and Kubernetes.

Dec 2020 – Feb 2021 · 2 mos

• Worked on Lung Cancer Detection using CNN.
• Performed Image Processing and Image Segmentation since the data set used contains DICOM format of Images.
• Implemented a 3D Convolutional Neural Network for detection of lung nodules.
• Worked on optimization and efficiency of the model.
• Python libraries like TensorFlow and Keras were used majorly.

Aug 2020 – Oct 2020 · 2 mos

• Learnt about Battery Management system along with Vehicle control system .
• Worked on Battery Management System design and optimization.