Data Analyst with less than a year in Business Analytics & Market Research
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Data-driven strategy analyst with 10 months of experience in business intelligence, market research, and analytics. Proven ability to create dashboards with live data integration, extract and transform large datasets using SQL and Snowflake, and automate reporting workflows. Skilled in developing predictive models, conducting portfolio and roll rate analysis, and delivering actionable insights to support strategic decision-making and cost optimization.
Lovely Professional University
MBA Business Analytics · Business Analytics
August 1, 2024 – June 30, 2026
IGNOU
Bachelor of Commerce · Commerce
August 1, 2019 – June 30, 2022
St. Catherin's Higher Secondary School
12th · Science
June 1, 2015 – May 31, 2017
Wortgage Finance Pvt Ltd (Werize)
Business Analyst (Strategy Analyst)
November 1, 2025 – Present
India
Frontline Exporters
Market Research Intern
June 1, 2025 – August 1, 2025
India
Incentive Analytics & Cash Flow Simulation Engine
March 1, 2026 – Present
Built a fully automated HTML-based incentive simulation dashboard, reducing manual incentive calculation time by almost 80% and improving operational efficiency. Developed dynamic MoM trend analysis visualizations using line charts and milestone performance tracking with donut charts to enable real-time performance monitoring. Integrated multiple KPI modules including Top Performer Identification, variance analysis, and scenario-based incentive impact simulation, improving decision-making accuracy. Engineered a systematic incentive calculation algorithm to forecast and monitor company cash outflow, while enabling scenario testing that demonstrated up to 65% productivity improvement. Designed a structured backend logic which acts like a vault system to store monthly incentive data, enabling dynamic visualization updates and consistent historical tracking.
Cost Optimization, Forecasting & Vendor Performance Analysis
February 1, 2026 – Present
Built an end-to-end data warehouse using SQL Server integrating procurement, inventory, production, and logistics datasets, enabling centralized supply chain visibility. Developed ETL pipelines to clean and transform raw data, generating key KPIs such as inventory turnover, fill rate, on-time delivery %, and downtime ratio, improving decision-making efficiency. Wrote advanced SQL queries like CTEs, window functions to identify top delay-causing suppliers and logistics inefficiencies, enabling targeted vendor performance improvement. Designed interactive Power BI dashboards with drill-through analysis, reducing manual reporting effort and enabling real-time monitoring of supplier performance and cost trends. Built predictive models like Regression, Random Forest to forecast demand and supplier delays, achieving measurable improvements in forecast accuracy and enabling proactive planning. Conducted statistical analysis like regression, correlation, hypothesis testing to uncover relationships between supplier delays, logistics cost, and production downtime.
Roll Rate Analysis
January 1, 2026 – Present
Engineered a scalable roll rate analytics solution using Google Sheets + Big Query external tables, processing 17K+ records monthly without manual data reloads. Automated month-on-month delinquency tracking using SQL window functions (LAG), ensuring 100% dynamic roll rate calculation across multiple time periods. Reduced manual reporting effort by Approx 70% by eliminating repetitive month-wise data handling and enabling single-table time-series architecture. Built a Power BI dashboard featuring roll rate matrix, forward roll concentration, and agent performance KPIs, reducing analysis time by almost 60-70%. Delivered actionable insights that improved mid-bucket recovery performance, contributing to about 10% increase in rollback rates. Tech: Power BI, SQL, Python, Advanced analytics, Excel, Google Sheets, Big Query.
Inventory Analytics and Supply Chain Optimization: Data-driven Stock Management
August 1, 2025 – Present
Developed an inventory optimization model using ABC/XYZ classification, reducing excess inventory holding costs by almost 25% and improving stock prioritization. Built an interactive Power BI dashboard to monitor stock thresholds, demand patterns, and product performance, improving decision-making speed by at least 40%. Implemented a predictive model for order cancellations using Python, increasing demand forecasting accuracy by almost 30% and reducing stockout risk. Identified slow-moving and high-risk inventory, enabling Approximately 20% reduction in dead stock and improving inventory turnover ratio. Streamlined inventory tracking and reporting processes, cutting manual intervention by about 50% and enabling near real-time supply chain visibility. Tech: Power BI, SQL, Python, Advanced analytics, Excel.
HR Analytics and Workforce Diversity Insights
January 1, 2025 – Present
Analysed employee records across gender, race, and departments to uncover diversity gaps, identifying 15-20% imbalance in key functions and enabling targeted hiring interventions. Built 8+ core HR KPIs like attrition rate, tenure distribution, job satisfaction index, salary variance, improving leadership visibility into workforce health and reducing ad-hoc analysis requests by 30%. Designed an interactive Tableau dashboard tracking workforce trend, cutting manual reporting effort by almost 40% and reducing report turnaround time from days to near real-time. Delivered actionable insights on attrition drivers such as tenure bands, departments, supporting HR strategies that could reduce attrition risk in high-churn segments by 10-15%. Tech: SQL, Tableau, Excel.
In Microsoft Power BI: The Practical Guide
Udemy
July 1, 2024 – Present
Machine Learning A-Z: Python and R
Unknown
February 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning finance, supply chain, HR, and market research, indicates a broad interest and adaptability to different business contexts. This diversity, coupled with a focus on delivering measurable business impact, suggests a good cultural fit for a dynamic, results-oriented environment. The ongoing MBA in Business Analytics further reinforces a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate demonstrates strong critical thinking, adaptability, and data-driven decision-making skills, which are crucial for a Data Analyst role. Their project descriptions highlight a proactive approach to problem-solving and a focus on delivering tangible business value. The ability to streamline processes and automate reporting indicates an operational efficiency mindset.