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Data Analyst with less than a year in SQL, Python & Power BI
Results-driven Data Analyst with hands-on experience translating complex, multi-source CRM and transactional data into actionable dashboards, ML-backed insights, and strategic recommendations. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn), and Power BI (DAX), with demonstrated ability to synthesize large datasets, build data models, and communicate findings to both technical and non-technical stakeholders. Adept at cross-functional collaboration across DE, DS, and business teams — with proven experience in funnel analysis, revenue leakage detection, KPI design, and end-to-end BI delivery. Background spans e-commerce, events/connectivity, finance, and sports analytics domains.
Sathyabama Institute of Science & Technology, Chennai
M.Sc. · Bioinformatics & Data Science
August 1, 2023 – June 30, 2025
Loyola College, Chennai
B.Sc. · Advanced Zoology & Biotechnology
August 1, 2020 – June 30, 2023
StreamOne Events & Solutions
Data Analyst (BI Engagement)
May 1, 2026 – Present
India
Zidio
Data Analyst Intern
June 1, 2025 – August 1, 2025
India
Skillforge
Data Science Intern
May 1, 2024 – June 1, 2024
India
E-Commerce Sales Analysis
June 1, 2026 – Present
Designed a normalized MySQL database (6 tables) and built a complete ETL pipeline — directly analogous to data warehouse build tasks in implementation-team engagements. Computed Rs. 1.18L+ in total revenue, CLV, city-wise segmentation, and product-level KPIs using advanced SQL on large transactional datasets. Detected cancelled-order revenue leakage and payment-method behavioral patterns; translated findings into boardroom-ready business strategy recommendations with domain context — relevant to e-commerce/retail environments.
Tesla Stock Forecasting Dashboard
June 1, 2026 – Present
Built an end-to-end time series forecasting application comparing four ML models (ARIMA, SARIMA, Prophet, LSTM) on web-scraped data — demonstrating ML output interpretation and insight generation. Developed a companion Power BI dashboard with dynamic slicers for historical vs. predicted trend exploration, designed for non-technical stakeholders.
IPL Performance Dashboard
June 1, 2026 – Present
Built a fully interactive Power BI dashboard analyzing multi-season player and team statistics using advanced DAX measures and relational data modeling — demonstrating intelligence dashboard development from domain data.
Superstore Sales – Excel Dashboard
June 1, 2026 – Present
Analyzed 9,000+ transactions (2014–2017); surfaced region-wise revenue (West: $725K, East: $679K) — total: $2.3M revenue, $286K profit — with pivot dashboards for stakeholder reporting.
Power BI Dashboard Mastery
Be10x
June 1, 2026 – Present
Power BI Fundamentals
Be10x
June 1, 2026 – Present
Data Science with Python
Skillforge
June 1, 2026 – Present
Deloitte Data Analytics Virtual Job Simulation
Forage
June 1, 2026 – Present
The candidate scored 90% on the Power BI assessment, indicating a strong understanding and practical application of the tool, which is highly relevant for a Data Analyst role.
Strengths
Limitations
The candidate achieved 76% on the Data Scientist — Artificial Intelligence test, showing a competent grasp of data science principles, including ML and statistical inference, which are valuable for a Data Analyst who needs to interpret model outputs.
Cultural Fit Analysis
The candidate's diverse project portfolio (e-commerce, stock forecasting, sports analytics) and experience in different company settings (StreamOne, Zidio, Skillforge) suggest adaptability and a broad interest in applying data analysis across various industries. The current role as a Data Analyst (BI Engagement) aligns well with the target role, indicating a clear career path and commitment to the field. The breadth of skills, including both technical and business analysis, points to a well-rounded individual who can contribute effectively to a data-driven culture.
Soft Skills & Operational Fit
The candidate's resume highlights strong cross-functional collaboration, stakeholder reporting, and client-facing delivery, indicating good communication and teamwork skills. The ability to translate business questions into structured KPIs and action plans suggests strong analytical and problem-solving capabilities. The psychometric test score (243/500) is below average, which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, requiring further investigation during interviews.
Strengths
Limitations