Data Analyst with 1+ years in SQL, Python, & Power BI for FinTech & mortgage.
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Data Analyst experienced in delivering high-impact analytics solutions across FinTech and mortgage domains. Skilled in SQL, Python, and Power BI, with a strong focus on building scalable data models, automating workflows, and translating complex datasets into revenue-driving insights. Proven ability to design decision systems that improve efficiency, optimize business performance, and enable data-driven strategy.
GH Raisoni College of Engineering and Management, Pune
B.Tech · Artificial Intelligence
August 1, 2021 – June 30, 2024
ICE Mortgage Technology
Junior Data Analyst
March 1, 2025 – Present
Pune, Maharashtra, India
Inteliment Technologies Pvt. Ltd.
Data Analyst Intern
June 1, 2024 – October 1, 2024
Pune, Maharashtra, India
Dynamic Pricing Optimization & Demand Forecasting Engine
June 1, 2026 – Present
Built a pricing optimization system using Python and SQL, analyzing 200K+ transactions to model price elasticity and forecast demand, driving 10-15% revenue uplift. Developed SQL pipelines to enable segment-wise pricing strategies and improve margin efficiency. Created an interactive Power BI dashboard with pricing simulators and margin alerts for data-driven decision-making.
Multi-Touch Attribution & Budget Optimization Engine
June 1, 2026 – Present
Built a multi-touch attribution model using Shapley values and regression on 50K+ customer journeys, uncovering true channel contribution beyond last-click bias. Identified high-ROI channels and $200K+ budget reallocation opportunities, projecting 18–25% improvement in marketing ROAS. Developed an interactive Power BI dashboard with a scenario-based budget simulator, enabling stakeholders to optimize spend in a privacy-first, cookieless environment.
Introduction to Data Analytics
IBM
June 1, 2026 – Present
Data Analysis and Visualization with Power BI
Microsoft
June 1, 2026 – Present
Databases and SQL for Data Science with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to solving complex business problems (e.g., dynamic pricing, multi-touch attribution). Their experience across FinTech, mortgage, and automobile datasets, coupled with a B.Tech in Artificial Intelligence, indicates a broad interest in applying data analytics to diverse industries. This diversity and problem-solving orientation suggest a good cultural fit for roles requiring innovation and impact.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight a strong problem-solving aptitude, particularly in optimizing business processes and driving revenue uplift through data-driven insights. Their ability to partner with stakeholders and deliver interactive dashboards suggests good communication and collaboration skills. The focus on automating workflows and improving reporting turnaround time indicates an operational mindset geared towards efficiency.