Data Analyst with 1+ years in Data Analysis & Business Intelligence
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Aspiring Data Analyst with strong SQL and data analysis skills, experienced in analyzing user data, identifying trends, and generating actionable insights. Proficient in SQL, Excel, and Power BI with hands-on experience in conversion analysis, data cleaning, and reporting. Passionate about using data to solve business problems and support decision-making.
University of Mumbai
Bachelor of Science · Mathematics
N/A – June 30, 2024
Concentrix
Technical Advisor
December 1, 2024 – December 1, 2025
Thane, Maharashtra, India
Ad Experience Impact on User Behavior (OTT Analysis)
June 24, 2026 – Present
• Simulated ~300 OTT user sessions to analyze the impact of ad frequency, repetition, and placement on user behavior. • Built interactive dashboards in Excel and Power BI to track drop-off rate, retention, and session completion. • Identified that higher ad frequency and repeated ads significantly increase churn and reduce retention. • Analyzed user behavior patterns, such as ads after pause, leading to higher drop-off rates. • Proposed product improvements include ad frequency capping, creative rotation, and optimized ad placement.
User Event Behavior Analysis (SQL)
June 24, 2026 – Present
• Analyzed product event logs to understand user interaction patterns and engagement behavior. • Used SQL queries, grouping, and time analysis to extract meaningful insights from event data. • Identified high-engagement user actions and patterns that can inform product feature decisions. • Practiced building structured analytical queries similar to real product analytics workflows. • Formulated complex SQL queries to dissect user event data, uncovering actionable insights that informed optimization strategies for product features.
Product Funnel Analysis (SQL)
June 24, 2026 – Present
• Analyzed user event data to measure conversion across product funnel stages such as visit→ signup → purchase. • Used SQL aggregation and filtering to calculate conversion rates between funnel steps. • Identified drop-off points in the user journey to highlight opportunities for improving product onboarding and activation. • Demonstrated how product teams can use funnel metrics to improve user retention and revenue.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques to real-world scenarios (simulated OTT user sessions, product event logs). The coursework in Business Analytics further aligns with the target role. The blend of mathematical education and practical project work indicates a strong desire to grow in the data analytics field. The experience in a customer-facing role suggests an ability to communicate and understand user needs, which is valuable for a data analyst interpreting user behavior.
Soft Skills & Operational Fit
The candidate's experience as a Technical Advisor at Concentrix, handling customer interactions and maintaining high FCR and CSAT, suggests strong problem-solving, analytical, and communication skills. These are valuable for understanding business problems and presenting data-driven insights in a data analyst role. The ability to log and track interactions indicates attention to detail and structured data recording, which is beneficial for data quality.