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Data Analyst with less than a year in SQL, Power BI & Python for Data Visualization and Business Ins
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Results-driven Data Analyst (fresher) with an MBA in Business Analytics and strong hands-on skills across the full analytics lifecycle – data extraction, ETL, cleaning, analysis, and visualization. Proficient in complex SQL (CTEs, window functions, subqueries), Power BI (DAX, Power Query, KPI dashboards), Python (Pandas, NumPy, EDA), and Advanced Excel. Experienced in translating raw datasets of 50,000-1,400,000+ records into clear, decision-ready business insights. Passionate about building scalable reporting solutions for data-driven, product-led organizations.
IIBS - Indian Institute of Business Studies, Bengaluru
MBA · Business Analytics
August 1, 2025 – June 30, 2027
SRR & CVR Government Degree College, Vijayawada
B. Com · Computer Applications
N/A – June 30, 2025
Blinkit E-Commerce Operations Analysis
June 1, 2026 – June 1, 2026
Extracted and analysed 50,000+ order records from a multi-table relational database using 15+ advanced SQL queries with CTEs, window functions, multi-table JOINs, and GROUP BY aggregations. Identified that 3 SKU categories contributed to 68% of total GMV and detected delivery SLA breach patterns across 5 city zones – findings mapped directly to supply chain recommendations. Generated structured KPI reports covering order fulfilment rate, average delivery time, category-level revenue mix, and zone performance – reducing manual reporting effort by an estimated 60%. Applied root cause analysis framework to isolate high stock-out risk SKUs, enabling targeted inventory prioritization for high-velocity product segments.
Nike Stock Market Intelligence Dashboard
January 1, 2022 – June 1, 2026
Built an end-to-end analytics solution processing 1,400+ daily stock price records (4 years) – ingested raw CSV via Power Query ETL, modelled data relationships, and published an interactive Power BI dashboard. Engineered 12+ DAX measures including 7-day/30-day rolling averages, YoY % change, and price volatility bands – powering KPI cards and time-intelligence visuals for stakeholder reporting. Designed interactive drill-throughs, bookmarks, and slicer-based filters enabling both technical and non-technical users to isolate performance by date range, quarter, and price band. Identified 3 major bull/bear cycle patterns across the 4-year period, surfacing actionable insights for investment trend analysis and portfolio benchmarking.
Claude 101 - Anthropic (AI & Prompt Engineering)
Anthropic
June 1, 2026 – Present
Power BI - Office Master (Data Visualization)
Office Master
June 1, 2026 – Present
Google Analytics - Google
June 1, 2026 – Present
SQL - Hacker Rank (Certified)
Hacker Rank
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Freedcamp Data Visualization Certification
Freedcamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical application of data analysis skills. The pursuit of an MBA in Business Analytics and multiple certifications (Power BI, SQL, Google Analytics, AI & Prompt Engineering) show a strong drive for continuous learning and self-improvement, which aligns well with a growth-oriented culture. The diversity of tools and techniques used across projects (SQL, Power BI, Python, ETL, AI tools) indicates adaptability and a broad interest in the data analytics domain. However, the lack of professional experience means cultural fit in a team setting is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to identify patterns, surface actionable insights, and reduce manual reporting effort, suggesting strong analytical thinking and problem-solving skills. The focus on building interactive dashboards for both technical and non-technical users indicates good communication and user-centric design thinking. However, without direct work experience, operational fit in a corporate environment, including teamwork and stakeholder management, remains to be fully assessed.