Leading a data analytics team to boost productivity, detect anomalies, forecast trends and identify opportunities, resulting in significant subscription and revenue growth. Standardized practices improved new analysts' onboarding. Collaborated with cross-functional teams to deliver actionable insights and developed reusable templates to streamline processes.

Executed analysis to address critical issues, developed mathematical models for retention rate and customer lifetime value, provided insights on customer acquisition channels and optimized effectiveness and attribution to boost ROI.

Created a centralized analytics platform, boosting efficiency and accelerating analyst delivery. Enhanced ETL efficiency by replacing a commercial tool with Apache Airflow, resulting in cost savings and easy pipeline management. Engineered an A/B Test analytics platform, facilitating detailed metric summaries and statistical significance assessments, thus improving data-driven decision-making efficiency and reducing analysis time.

Developed Sisense dashboards and RShiny web apps to optimize report generation, offering leadership valuable insights. Leveraging Python packages, I automated manual data refresh processes, simplifying code complexity and reducing manual efforts. Additionally, I contributed to analytical efficiency by creating various data tools and automating tasks like data validation, revenue reconciliation, and performance reporting.

Managed reporting services across multiple products utilizing R, Pentaho, Markdown, and RShiny, leading to a significant increase in reporting accuracy. Conducted customer segmentation, portfolio analysis and clustering for Bureau agencies like Experian and Equifax, resulting in improved credit score predictions. Evaluated product database performance, resulting in enhanced response times and transaction continuity.

As a member of Snapdeal's Supply Chain Analytics Team, I focused on analyzing data from diverse sources to produce insightful reports, ultimately improving operational efficiency. I streamlined data acquisition and cleaning processes, resulting in significant time savings. Additionally, I introduced measures to maintain consistent data standards and enhance data collection efficiency, consequently minimizing data-related challenges and discrepancies in reports.

Spearhead data analytics and BI projects, collaborated with stakeholders to develop reporting frameworks and analysis tools. By leveraging Python/R, Tableau and MS Excel, I optimize task workflows and enhance efficiency, facilitating smoother reporting and dashboaring across departments.

Streamline data extraction processes from MongoDB and PostgreSQL, reducing ad hoc analysis time and expediting decision-making procedures. Through the creation of reusable report templates in Gsheet & MS Excel and the implementation of ETL jobs, Contributed to operational and management reporting efforts.