Data Analyst with less than a year in data analysis & visualization
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Detail-oriented Data Analyst with hands-on experience collecting, cleaning, and transforming raw data into actionable insights. Achieved 98% data accuracy across 100+ monthly datasets and reduced manual errors by 30% through ETL process standardization and data validation rules. Proficient in SQL, Python (Pandas, Matplotlib), Power BI, Tableau, and Excel. Built dashboards and reports supporting data-driven decision-making across product, marketing, and operations teams. Independently completed an end-to-end funnel analysis on 2.7 million real e-commerce events, surfacing campaign optimization recommendations with measurable business impact.
Bharati College, University of Delhi
Bachelor of Commerce · Commerce
August 1, 2020 – June 30, 2023
Hoi – Your Travel Companion (GMR)
Data & Operations Associate (Catalog Associate)
January 1, 2024 – February 1, 2026
New Delhi, Delhi, India
E-Commerce Funnel Analysis - Retailrocket Dataset
January 1, 2026 – June 1, 2026
Analyzed 2.7 million real user events, designing 8 targeted SQL queries to map the full purchase funnel — uncovering that 97% of 1.4M visitors exited without adding to cart and overall conversion was 0.83%. Extracted actionable insights on peak traffic hours (5–9 PM) and high-view/low-conversion products — generating a prioritized list of campaign optimization recommendations for stakeholders. Visualized end-to-end funnel using Python Matplotlib; published all queries, scripts, and documentation on GitHub for reproducibility.
View ProjectCultural Fit Analysis
The candidate's project diversity, including an independent e-commerce funnel analysis, and their internship experience at Hoi – Your Travel Companion (GMR) suggest adaptability and a proactive approach to learning and applying data analysis skills. The breadth of tools and techniques used (SQL, Python, Power BI, Tableau, Excel, Metabase) indicates a willingness to engage with various technologies, which is positive for cultural fit in dynamic data teams.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in stakeholder communication and collaboration, as evidenced by their experience in co-defining data validation rules and presenting detailed reports. Their project work also highlights an ability to work independently and ensure reproducibility, indicating good operational fit for data analysis roles.