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Data Analyst with less than a year in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experience as a Data Analyst, data-driven decision-making through expert application of SQL, and Power Bi for data extraction, cleaning, and analysis. Uncover hidden insights and patterns by leveraging diverse packages like NumPy, Pandas, and Matplotlib for data manipulation, and compelling visualizations. Possess a comprehensive skillset encompassing Data Modeling, Data Visualization, and Statistical Data Analysis, to translate data into strategic business value.
Berhampur University
Bachelor of Computer Applications
May 1, 2022 – May 1, 2025
Banking Customer Analytics & Dashboard for a Retail Bank
June 30, 2026 – Present
Executed end-to-end banking data analysis using SQL, Python, and Power BI to uncover customer and loan behavior patterns. Performed customer segmentation based on demographics, transaction activity, and credit risk to support targeted banking strategies. Built predictive insights to identify high-risk loan customers and reduce default probability through proactive decision-making. Developed KPI-focused dashboards tracking deposit trends, loan performance, NPA rate, and channel (online/branch) transactions. Delivered data-driven business recommendations that improved cross-sell opportunities and optimized retention strategies.
Consumer Behavior Analytics for a Leading Retail Company
June 30, 2026 – Present
Led end-to-end consumer behavior analysis using Python & SQL, uncovering purchase drivers across demographics, seasons, product categories, and sales channels. Performed customer segmentation using RFM and clustering techniques, identifying high-value customers and improving personalized marketing strategies. Built predictive models for repeat purchase & churn forecasting, improving retention strategy accuracy by up to 20%. Conducted discount, review & payment preference impact analysis, enabling targeted promotional campaigns and pricing strategy optimization. Designed interactive Power BI/Tableau dashboards to track CLV, category performance, churn rate, acquisition cost, and customer satisfaction KPIs.
View ProjectHR Analytics: Employee Attrition & Workforce Insights Dashboard
June 30, 2026 – Present
Analyzed HR data of 1,400+ employees to identify key drivers of employee attrition using SQL and Python. Conducted in-depth analysis on department, job role, salary, tenure, and work-life balance to uncover high-risk attrition segments. Built an interactive Power BI dashboard to track HR KPIs such as attrition rate, average tenure, and employee performance. Performed exploratory data analysis (EDA) and statistical analysis to find correlations between compensation, job satisfaction, and attrition. Developed actionable HR recommendations to improve employee retention and reduce turnover costs. Documented the complete analysis and dashboard for easy stakeholder understanding and future scalability.
Food Delivery App Data Analysis
June 30, 2026 – Present
Analyzed 50K+ food delivery orders to identify trends in customer behavior, revenue, and delivery performance. Built optimized SQL queries to calculate KPIs such as AOV, customer retention, delivery SLA, and cancellation rate. Performed data cleaning and exploratory analysis using Python (Pandas, NumPy) to uncover delay patterns and rating impact. Designed interactive Power BI dashboards used to track daily orders, city-wise revenue, and restaurant performance. Delivered data-driven recommendations that could reduce delivery delays by 15-20% during peak hours. Conducted time-based and peak-hour analysis to support demand forecasting and delivery partner optimization.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across multiple industries (retail, HR, food delivery, banking), indicating adaptability and a broad interest in different business challenges. This diversity suggests a good cultural fit for dynamic environments that value versatile analytical talent. The focus on delivering business value and recommendations aligns with a proactive and impact-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on problem-solving, analytical thinking, and delivering actionable insights, which are crucial for a Data Analyst role. The emphasis on end-to-end analysis and stakeholder understanding suggests good operational fit and a results-oriented approach. However, without direct assessment of communication or teamwork in a live setting, these remain inferences.