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Data Analyst with 2+ years in Banking & Data Analytics
Data Analytics professional with 3+ years of hands-on credit card operations experience at ICICI Bank, an MBA in IT, and a BE in Computer Science – now transitioning fully into a Data Analyst role. Worked directly with live customer financial data, transaction records, escalation patterns, SLA metrics, and credit card portfolios in one of India's largest private banks, building real-world intuition for data quality, KPI tracking, and business reporting. Skilled in Excel (Advanced), SQL, Python, Power BI, and Tableau, with 3 end-to-end analytics projects across Sales, Banking, and HR domains. Combines rare financial domain depth with modern data analytics capabilities - ready to deliver meaningful business insights from Day 1.
Astral Institute of Science and Technology, Indore
M.B.A. · Human Resources & Information Technology
August 1, 2020 – June 30, 2022
Astral Institute of Science and Technology, Indore
B.E. · Computer Science Engineering
August 1, 2015 – June 30, 2019
ICICI Bank Ltd.
Senior Credit Card Operations Analyst
September 1, 2019 – May 1, 2022
Indore, Madhya Pradesh, India
Sample Superstore Sales Analysis
June 18, 2026 – Present
Cleaned and transformed a 10,000+ row raw sales dataset using Advanced Excel, ensuring 100% data accuracy for reporting. Built an interactive Excel sales dashboard with dynamic Pivot Tables, Pivot Charts, and slicers for Region, Ship Mode, State, and Segment. Created KPI cards tracking Total Sales, Total Profit, Total Orders, and Regional Performance for real-time business monitoring. Performed SQL-based analysis to query sales trends, identify top-performing products, high-revenue regions, and low-profit categories. Delivered structured business insights via a professional project presentation covering data cleaning, visualization, and strategic recommendations.
Bank Customer Churn Analysis
June 18, 2026 – Present
Analyzed a customer dataset of 10,000+ bank records to identify key factors contributing to customer churn using Python (Pandas, NumPy). Performed comprehensive data cleaning, preprocessing, and transformation, reducing data inconsistencies by standardizing key fields. Conducted Exploratory Data Analysis (EDA) to uncover churn patterns across customer demographics, credit scores, tenure, and account activity. Identified top churn indicators including low credit score, single-product holding, and inactive status, supporting targeted retention strategies. Built an interactive Power BI dashboard featuring KPI metrics, filters, and slicers to enable dynamic churn analysis and executive reporting.
HR Employee Attrition Analysis
June 18, 2026 – Present
Executed end-to-end HR attrition analysis across 1,400+ employee records using Excel, SQL, Python, and Power BI. Cleaned and transformed employee data using Excel Power Query and Python (Pandas, NumPy), improving data quality for accurate reporting. Performed EDA to analyze attrition by department, age group, gender, job role, salary band, education, and years of experience. Developed KPI metrics including Attrition Rate, Active Employee Count, Average Age, and Attrition by Department for HR leadership dashboards. Built parallel dashboards in both Excel and Power BI with dynamic slicers and visualizations, enabling drill-down workforce analytics. Documented project workflow in a Metric Design Document (MDD) and delivered actionable recommendations to reduce attrition drivers.
Cultural Fit Analysis
The candidate's background includes an MBA in HR & IT and a BE in Computer Science, combined with experience in a banking environment. This diverse educational and professional background, coupled with personal projects across sales, banking, and HR, indicates adaptability and a broad understanding of different business domains. This breadth of experience suggests a good cultural fit for roles requiring cross-functional collaboration and diverse problem-solving.
Soft Skills & Operational Fit
The candidate's experience at ICICI Bank highlights strong attention to detail, data accuracy, and discipline in reporting, which are crucial for a Data Analyst role. Their ability to identify recurring escalation patterns and communicate trend insights suggests early experience in data-driven problem-solving and communication. The project descriptions also indicate good data storytelling and business presentation skills.