About
A Strategic Product and Data Analyst with 3+ years of experience in applying data to drive product growth, revenue optimization, and core decision-making across EdTech, E-Commerce, and Social Impact sectors. Expert in SQL, Python, Power BI, Tableau, and Excel, with hands-on experience analyzing products serving 17M+ MAUs. Proven track record of improving operational efficiency, reducing reporting latency, optimizing acquisition strategies, and enabling leadership with actionable insights through scalable dashboards, and advanced analytics, including funnel, cohort, and retention analysis.
Skills & Expertise (39)
Work Experience
Business Analyst Intern
The Health Company
May 2021 - Aug 2023
IT Survey Analyst
Bridge Carbon
Jan 2024 - Dec 2025
Led end-to-end analytics and reporting for global survey and product usage data, enabling data-driven operational and strategic decisions. Built interactive Power BI and Tableau dashboards to track user funnels, engagement, and KPI performance, improving stakeholder visibility into product performance. Partnered with cross-functional teams including Product, Marketing, and Operations to deliver actionable insights improving efficiency and campaign effectiveness. Streamlined global data collection workflows using ODK, Upya, and internal tools, improving data reliability, accessibility and reducing reporting latency by 30%.
Business & Product Analyst
Testbook.com
Aug 2021 - Aug 2023
Managed KPI tracking for in-house CRM by creating 10+ dashboards and 100+ queries to identify feature gaps and boosted platform efficiency. Developed interactive Looker Studio dashboards for the Sales team and other stakeholders to monitor individual and team performance metrics, leading to a measurable lift in employee engagement. Automated data extraction using SQL, MongoDB, and 5+ ETL workflows through Apps Script to deliver real-time insights via Redash and save over 10 hours weekly for product managers. Analyzed and Integrated app & web event data covering 2M+ DAUs, approx. 17M+ MAUs, using Python for EDA, identifying trends, resolving issues with user events, implementing strategies and supporting product insights and improvements. Analyzed customer acquisition, retention, and product performance data to support growth strategy decisions. Built automated Excel and dashboard reports to identify high-performing and underperforming products. Conducted CAC, LTV, and SKU performance analysis, helping optimize marketing spend and improve repeat purchase rate by 12%.
Education
B.Sc.(Hons.) in Statistics - University of Delhi
- · Afghanistan
