Data Analyst with less than a year in SQL, Python, Power BI, & Excel
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Data-driven problem solver with hands-on experience in Excel, SQL, Python, Power BI, and data storytelling. Adept at translating complex datasets into clear business insights and actionable recommendations. Eager to leverage these skills in a high-impact environment where I can bridge the gap between data and decision-making to drive measurable business outcomes.
Anil Neerukonda Institute of Technology and Sciences
B.Tech · Computer Science and Engineering (AI&ML)
August 1, 2022 – June 30, 2025
Govt Polytechnic College
Diploma · Computer Engineering
August 1, 2019 – June 30, 2022
Rubixe Al Solutions
Data Analyst Intern
October 1, 2025 – April 1, 2026
India
Customer Shopping Behaviour Analysis
October 1, 2025 – April 1, 2026
Cleaned and preprocessed 80,000+ transaction records using Python (Pandas) — handled 5,000+ missing values, removed duplicates, and standardized date formats; then executed 10 SQL queries for RFM customer segmentation. Identified that the top 20% of customers generate 65% of total revenue; built a Power BI dashboard showing seasonal trends, demographic splits, and retention rates — delivered 5 actionable recommendations projecting 18% repeat purchase uplift.
View ProjectSupply Chain Analysis
October 1, 2025 – April 1, 2026
Developed an end-to-end supply chain dashboard analyzing 4 KPIs — revenue, lead time, defect rate, shipping cost — across 3 product categories, directly relevant to transport and logistics operations contexts. Wrote SQL JOINs and subqueries to extract supplier performance metrics; identified top 3 high-defect suppliers contributing to 68% of quality issues — enabling targeted intervention with quantified impact. Built interactive Power BI dashboard (KPI cards, heatmaps, waterfall charts, matrix) with what-if analysis simulating a 10% lead time reduction — projected 12% revenue improvement through scenario modelling.
View ProjectHR Analytics- Workforce Attrition
October 1, 2025 – April 1, 2026
Analysed attrition across 1,470 employees using SQL (15 queries) and Python (Pandas, SciPy, scikit-learn) Identified 11.85 Cr annual cost and confirmed OverTime as strongest driver (chi²=55.4, p<0.001, 3x rate) Engineered 5-factor weighted risk scoring model (MinMaxScaler normalization)-classified 218 High-Risk employees with 40.4% actual attrition; validated 5.9× separation ratio against Low Risk (6.8%) Built 3-page Power-BI dashboard with 15 DAX measures, live risk calculator (What-If parameters), satisfaction matrix, high-risk employee table, and 12-month headcount forecast. Delivered 6 ROI- backed retention recommendations projecting 2.86 Cr annual saving-24.1% cost reduction
View ProjectCertified Data Analyst
IABAC
January 1, 2023 – January 1, 2026
Power BI & Advanced Excel
Datamites
January 1, 2023 – January 1, 2026
Data Analytics Essentials
Cisco
January 1, 2023 – January 1, 2025
AWS Hackathon & Workshops
Brainovision Solutions India Pvt. Ltd.
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity (customer behavior, supply chain, HR analytics) indicates a broad interest in applying data analysis across different business domains. This adaptability suggests a good cultural fit for organizations that value versatile data professionals. The certifications further demonstrate a proactive learning attitude. However, the candidate's experience level (internship) means they might require more mentorship and integration into a senior team's workflow compared to a candidate with extensive full-time experience.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, consistently identifying business insights and proposing data-backed recommendations. Their ability to work with diverse datasets and tools suggests adaptability. However, the resume does not provide explicit details on teamwork, leadership, or communication in a collaborative setting, which are crucial for senior roles. The candidate's experience is primarily internship-level, indicating a need for further development in operational leadership and independent project management.