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Data Analyst with less than a year in SQL, Python, 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
Data Analyst skilled in SQL, Python (Pandas, NumPy), Power BI, and Advanced Excel (Power Query, Pivot Tables) with experience analysing 500K+ records across e-commerce and financial datasets. Built data-driven pricing strategy for 500+ SKUs and delivered customer churn analysis for 50K+ records. Proven ability to transform complex data into actionable insights. Seeking analyst roles in e-commerce, operations, or business intelligence.
Chalapathi Institute of Engineering & Technology
B.Tech · Computer Science & Engineering (AI & ML)
January 1, 2021 – January 1, 2025
Frontlines EduTech (FLM)
Data Analyst Trainee
July 1, 2025 – December 1, 2025
India
E-Commerce Pricing Strategy Analysis
December 1, 2025 – December 1, 2025
Designed pricing strategy for 500+ SKU portfolio by analysing pricing, sales, inventory, and competitor data (100K+ records). Built SKU segmentation (Scale Winners, Protect Scarcity, Clear Inventory) using Pandas and NumPy. Implemented margin protection rules, blocking 12% of discounts to preserve profitability. Delivered revenue-optimized recommendations with 5-10% price increases for high-demand products.
Brazil E-Commerce Analysis
July 1, 2025 – December 1, 2025
Analysed 100K+ orders using SQL (JOINs, Window Functions) to identify revenue drivers and customer patterns. Performed RFM analysis on 50K+ customers, finding top 20% driving 60% of revenue. Built Power BI dashboard with 12 KPIs showing 35% Q4 revenue spike and regional performance. Recommended 5 strategies: target top customers, optimize Q4 inventory, expand high-performing regions.
AI-Powered Data Analytics
FLM AI
June 1, 2026 – Present
Azure Administrator (AZ-104)
Microsoft Azure
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong focus on practical application of data analysis skills to solve business problems, which aligns with a results-driven culture. Their proactive pursuit of certifications and solving competitive programming problems (LeetCode/HackerRank) indicates a self-motivated and continuous learning mindset. The projects cover diverse aspects of data analysis, suggesting an ability to adapt to various business intelligence needs.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach through quantifiable achievements in projects and internships (e.g., 'blocking 12% of discounts', 'reducing prep time by 80%'). Their academic background in AI & ML, coupled with certifications like 'AI-Powered Data Analytics' and 'Azure Administrator', suggests a proactive learning attitude and an interest in leveraging advanced technologies. The project diversity indicates adaptability to different business contexts (e-commerce, finance).