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Data Analyst with 3+ years in US Retail & Supply Chain Analytics, specializing in Power BI and ETL p
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Results-driven Data Analyst with 3.5+ years of experience in US Retail and Supply Chain analytics, specializing in Power BI dashboard development, advance SQL, and scalable ETL pipeline design. Certified analyst with a consistent record of converting raw data into insights that drive revenue growth and operational efficiency. Experienced in stakeholder reporting, KPI tracking, and data-driven decision-making across cross-functional teams. Proficient in Power BI, Python, Machine Learning, Azure SQL, DAX, Excel and cross-functional collaboration across global teams.
Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU)
Bachelor of Computer Science (BSC.CS) · Computer Science
August 1, 2017 – June 30, 2021
BolsterBiz
Data Analyst
November 1, 2023 – Present
India
Ecolab (Nalco Water)
Data Analyst
September 1, 2022 – April 1, 2023
India
Retail Performance Analysis
June 1, 2026 – Present
Architected an interactive Power BI dashboard to analyze retail sales performance across product categories, regions, and time periods using SQL-driven data models and advanced DAX measures. Identified key revenue drivers and underperforming SKUs, enabling data-backed merchandising decisions.
View ProjectProduct Trends and Sales Comparison
June 1, 2026 – Present
Built a multi-dimensional data model in Power BI to compare product-level sales trends across multiple time windows, customer segments, and market regions. Applied advanced SQL joins, CTEs, and window functions to prepare aggregated datasets for visual analysis. Optimized SQL query performance using indexing and CTE-based layered transformations, reducing report load time and improving dashboard responsiveness.
View ProjectStock Price Prediction
June 1, 2026 – Present
Performed end-to-end data preprocessing and cleaning using Pandas, handled missing values, removed outliers, normalized price features, and engineered lag-based technical indicators to improve model input quality. Built a machine learning model to predict stock price movements using historical market data, leveraging Python libraries including Pandas, NumPy, and Scikit-learn for feature engineering and model training. Visualized prediction accuracy and trend comparisons using Matplotlib, providing interpretable outputs for financial analysis use cases.
View ProjectPython Data Analytics Professional
Unknown
June 1, 2026 – Present
SQL (Advanced) Certificate
Unknown
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from retail performance analysis to web scraping and stock price prediction, indicates adaptability and a broad interest in data applications. Their experience in both personal projects and professional roles at BolsterBiz and Ecolab suggests a proactive and continuous learning mindset. The focus on delivering measurable business value aligns well with a performance-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through process optimization and efficiency improvements (e.g., reducing carrier payables, optimizing Power BI performance). Their experience in stakeholder reporting and cross-functional collaboration indicates good communication and teamwork abilities. The project descriptions highlight a results-driven approach and an understanding of business impact.