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Data Analyst with 4+ years in data analysis, visualization, and business intelligence.
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Highly skilled Data Analyst with a Master's degree in Chemical Engineering and 4.3 years of hands-on experience in end-to-end data analysis. Proficient in a comprehensive stack of data tools including SQL, Python (NumPy, Pandas, Matplotlib, Seaborn), Excel, Power BI, DAX, and Power Query. Demonstrated ability to translate complex data into actionable insights, develop interactive dashboards, and optimize business strategies through rigorous KPI analysis, data modeling, and storytelling.
Indian Institute of Technology, Kharagpur
Master of Technology · Chemical Engineering
August 1, 2022 – June 30, 2024
Rajiv Gandhi University of Knowledge Technologies, AP
Bachelor of Technology · Chemical Engineering
August 1, 2017 – June 30, 2021
IIT Kharagpur
Teaching Assistant
August 1, 2022 – May 1, 2024
India
RGUKT Nuzvid
Coordinator, Career Development and Placement Cell
August 1, 2019 – July 1, 2021
India
End-to-End Banking Data Analytics Project
February 1, 2026 – March 1, 2026
Built an end-to-end banking analytics solution using Python, MySQL, and Power BI on a dataset of 3,000 customers with 24 financial features. Performed data cleaning and EDA to analyze customer behavior, loan distribution, and deposit trends, identifying key financial patterns. Developed KPIs including Total Loans (~4.38B), Total Deposits (~3.77B), Business Lending (~2.60B), and Checking Accounts (~963M). Conducted correlation analysis and identified a strong relationship (0.84) between Bank Deposits and Checking Accounts, highlighting high-value customer segments. Built an interactive Power BI dashboard with 10+ KPIs, uncovering that medium-income customers contribute over 50% of loans and deposits, enabling targeted business strategies.
View ProjectSales Analysis Dashboard
November 1, 2025 – December 1, 2025
Built an interactive Power BI dashboard analyzing 45,000+ sales records, tracking key business KPIs in real time. Developed DAX measures for Total Revenue (~8.17L), Total Orders (~21K), Average Order Value (~38), and Avg Pizzas per Order. Performed data cleaning and feature engineering in Excel, creating time-based features (day, month, hour) for trend analysis. Conducted sales trend analysis, identifying Friday as the highest-performing day (~3.5K orders) and peak order hours. Identified top 5 pizzas contributing ~25% of total revenue and low-performing products, enabling data-driven business optimization.
View ProjectPizza Sales Analysis
October 1, 2025 – November 1, 2025
Performed end-to-end analysis on a 4-table relational database containing thousands of pizza orders. Computed total revenue, cumulative revenue trends, and revenue contribution (%) per pizza type using CTEs and window functions. Identified top 5 pizzas by quantity, top 3 pizzas by revenue, and top 3 pizzas per category. Analyzed hourly order distribution to identify peak demand periods responsible for ~40% of daily orders.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on practical data analysis applications across different domains (sales, banking, pizza orders), indicating adaptability and a results-oriented mindset. Their academic background in Chemical Engineering, combined with self-directed learning in data analytics, suggests a strong drive for continuous learning and problem-solving. The projects align well with a Data Analyst role, demonstrating a clear interest and capability in the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured analytical tasks and deliver clear, quantifiable results. Their experience as a Coordinator and Teaching Assistant suggests organizational and communication skills, which are beneficial for operational roles. However, direct evidence of advanced problem-solving under pressure or complex stakeholder management is not explicitly detailed.