Data Analyst with less than a year in SQL, Python, Power BI & Advanced Excel for data analysis.
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Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in SQL, Python, Power BI, and Advanced Excel for data analysis, dashboard development, and business intelligence reporting. Skilled in ETL pipelines, exploratory data analysis (EDA), KPI tracking, and transforming raw data into actionable business insights. Strong analytical and problem-solving abilities with experience delivering data-driven solutions through real-world analytics projects.
Saranathan College of Engineering, Trichy
Bachelor of Engineering · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Veludayar Higher Secondary School
Higher Secondary Certificate (HSC)
June 1, 2021 – May 31, 2021
Amazon E-Commerce Sales Analysis
December 1, 2025 – January 31, 2026
Analyzed 50,000+ transaction records in MySQL to identify revenue trends, top-performing SKUs, and regional sales patterns across 8 product categories. Built a Power BI dashboard with 12 KPIs, dynamic slicers, and drill-through pages, reducing stakeholder reporting time by ~40%. Developed an automated Python (Pandas) ETL pipeline that resolved 300+ data inconsistencies, improving pre-analysis data accuracy to 98%. Recommended inventory rebalancing strategies based on top revenue-driving categories, projected to improve stock efficiency by 15%.
View ProjectSwiggy Revenue & Customer Behavior Analysis
October 1, 2025 – November 30, 2025
Analyzed Swiggy sales and customer order data to uncover revenue trends, peak order timings, and high-performing food categories. Designed interactive Excel dashboards using Pivot Tables, slicers, and charts to track KPIs and present actionable insights to business stakeholders. Cleaned and preprocessed data using Excel formulas (IF, SUMIFS, COUNTIFS, VLOOKUP), improving data reliability for downstream analysis. Delivered targeted recommendations for inventory management and promotional strategies based on identified customer purchasing patterns.
View ProjectData Analytics Job Simulation
Deloitte (via Forage)
June 1, 2026 – Present
Data Analyst Certification
Livewire Training Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying data analysis skills. The projects are relevant to the target role of Data Analyst, indicating alignment with typical industry challenges. The certifications further show a commitment to continuous learning. However, the lack of diverse project types beyond e-commerce and food delivery, and the absence of team-based project experience, limit the assessment of broader cultural fit and collaboration in varied environments.
Soft Skills & Operational Fit
The candidate's projects highlight soft skills such as problem-solving, analytical thinking, and attention to detail, particularly in data cleaning and inconsistency resolution. The ability to present actionable insights suggests good communication and data storytelling potential. However, without direct work experience, the operational fit in a professional team setting and stress handling capabilities are yet to be validated.