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Data Analyst with less than a year in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis, SQL querying, KPI development, and dashboard visualization. Experienced in analyzing customer behavior, HR analytics, and retail sales data to generate data-driven business insights. Strong ability to translate raw data into actionable recommendations.
Indian Institute of Information Technology, Sri City
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Abhisarga Annual Fest
Stalls Team Lead
January 1, 2025 – December 31, 2025
Sūlūru, Andhra Pradesh, India
IIIT Sri City
NSS Volunteer
November 1, 2022 – Present
Sūlūru, Andhra Pradesh, India
Customer Behavior Data Analysis
October 1, 2025 – Present
Performed data cleaning, preprocessing, and exploratory data analysis (EDA) on customer transaction datasets using Python (Pandas, NumPy). Wrote complex SQL queries to analyze customer purchasing patterns, repeat purchase behavior, and revenue contribution. Developed interactive Power BI dashboards to visualize KPIs including revenue trends, customer segments, and product performance. Generated insights to support customer retention strategies and marketing decision-making.
View ProjectHR Employee Attrition Analysis
October 1, 2025 – Present
Built an end-to-end HR analytics solution using SQL Server for data querying and Power BI for visualization. Created HR KPIs including Attrition Rate, Salary Bands, Tenure Groups, Job Role Analysis, and Overtime Impact. Used SQL techniques such as aggregations, CASE statements, and joins to analyze workforce patterns. Designed interactive Power BI dashboards with slicers and filters for department-level attrition insights. Identified 30% higher attrition among early-tenure employees, enabling targeted retention strategies.
Retail Sales Analysis
October 1, 2025 – Present
Analyzed large retail transaction datasets using MySQL to uncover trends in sales performance and customer purchasing behavior. Applied advanced SQL concepts including CTEs, window functions (RANK), GROUP BY, and CASE statements. Identified top-performing products, high-value customers, and seasonal sales patterns. Generated insights useful for sales monitoring, pricing strategy, and demand forecasting.
Cultural Fit Analysis
The candidate's personal projects show initiative and a proactive approach to learning and applying data analysis skills. The diversity of projects (customer behavior, HR, retail sales) indicates a broad interest in applying data analysis across different domains. While the experience is primarily academic and personal, the leadership roles suggest a willingness to contribute and collaborate, aligning with a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and communication skills through project descriptions. Their experience as an NSS Volunteer and Stalls Team Lead suggests organizational and teamwork capabilities, which are beneficial for operational fit in a data analyst role.