Data with 3+ years in Data Analytics & BI Reporting
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Results-driven Data Analyst with 2 years of experience transforming raw, multi-source data into actionable business intelligence. Expert in the end-to-end data lifecycle, leveraging Advanced Excel, Python, SQL, Power BI, and IBM SPSS. Specialized in Revenue Operations and market research, with a proven history of executing large-scale CRM migrations (HubSpot to Salesforce) and creating high-impact executive presentations that accelerate operational strategy.
FOM University
M.Sc. · Big Data and Business Analytics
N/A – June 30, 2022
Calcutta University
B.Sc. · Mathematics and Statistics
N/A – June 30, 2019
Sellmark Corporation
Data Enrichment & Insights Analyst
July 1, 2025 – June 30, 2026
Bengaluru, Karnataka, India
Freelance
Freelance Data Analyst
January 1, 2023 – May 31, 2025
Düsseldorf, North Rhine-Westphalia, Germany
Campaign Impression Analysis & Market Intelligence
June 25, 2026 – Present
Optimized marketing spend by identifying ad saturation points and correlating visibility with sales performance. Integrated cross-channel ad performance with Meltwater intelligence to track real-time reach and frequency. Correlated visibility metrics with sales performance, aligning inventory planning with actual market demand.
Brand Tracker Study – Hanover Research
June 25, 2026 – Present
Identified conversion gaps for Pulsar (High Awareness vs. Medium Conversion) using Python and Excel. Delivered strategic recommendations addressing pricing, complexity, and fit barriers.
Customer Lifetime Value (CLV) Prediction Model
June 25, 2026 – Present
Engineered a predictive CLV model to segment customers into value tiers, enabling targeted marketing outreach. Evaluated five machine learning algorithms; selected the optimal model achieving 88% accuracy. Optimized marketing spend, directly contributing to increased revenue and operational efficiency.
Cultural Fit Analysis
The candidate's project diversity, ranging from brand tracking to CLV prediction and campaign analysis, indicates adaptability and a broad interest in applying data science to various business problems. Their experience in both corporate and freelance settings suggests a proactive and independent work ethic, aligning well with roles requiring initiative and diverse skill application.
Soft Skills & Operational Fit
The candidate demonstrates an analytical mindset, strategic planning capabilities, and experience in cross-functional collaboration, which are crucial for a senior data role. Their project descriptions highlight problem-solving and impact-driven approaches.