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Data Analyst with 2+ years in SQL, Power BI & Machine Learning.
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Assessing your cultural and operational fit
Data Analyst with 2+ years of experience in SQL/PLSQL operations, data validation, KPI reporting, and production issue analysis. Proficient in Python, Power BI, PostgreSQL, and machine learning. Delivered 3 end-to-end analytics projects across supply chain, movie data analysis, and customer churn prediction resulting in actionable dashboards and automated reports that drive strategic decision-making.
Woolf University in collaboration with AlmaBetter
MS in Computer Science · Machine Learning and AI Engineering
August 1, 2025 – Present
Prestige Institute of Engineering, Management and Research
Bachelor of Technology
August 1, 2017 – May 1, 2021
Infosys Limited
System Engineer
June 1, 2022 – September 1, 2024
Indore, Madhya Pradesh, India
Supply Chain Analytics
January 1, 2025 – June 1, 2026
Assessed 180K+ supply chain records across sales, profit, delivery delays, shipping modes, and regional performance using Python, SQL, PostgreSQL, and Power BI. Created 5+ KPIs including total sales, total profit, order count, average shipping days, and late delivery percentage. Designed Power BI dashboards to identify late-delivery risk, top products, profitable regions, and operational improvement areas.
Netflix Movie Analytics
January 1, 2025 – June 1, 2026
Examined 7,665 movie records across 19 genres and 60 countries to identify profitability, genre trends, and revenue patterns. Cleaned and transformed 7,665+ records, derived profitability metrics across budget vs revenue, IMDb scores, and country-wise performance — uncovering insights across 60 countries. Automated GenAI-based movie insight workflows using n8n, improving insight generation efficiency by 25%.
Customer Churn Prediction
January 1, 2025 – June 1, 2026
Developed a telecom churn prediction model using Python, Pandas, Scikit-learn, and SQL to identify high-risk customers. Evaluated Logistic Regression and Random Forest models using accuracy, precision, recall, F1-score, and ROC-AUC. Deployed a Streamlit app to predict churn probability and recommend retention actions for high-risk customers.
Python
AlmaBetter
June 1, 2026 – Present
Relational Databases
AlmaBetter
June 1, 2026 – Present
Data Visualization Tools
AlmaBetter
June 1, 2026 – Present
Machine Learning & Generative AI
AlmaBetter
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in different data analysis domains (supply chain, movie analytics, customer churn). The professional experience at Infosys shows an ability to work in a structured environment and contribute to operational improvements. However, the experience is primarily in a System Engineer role with a focus on SQL/PLSQL operations rather than a dedicated Data Analyst role, which might require a cultural shift towards more proactive data exploration and strategic insight generation. The academic nature of most projects also suggests a need to assess real-world application and business impact understanding.
Soft Skills & Operational Fit
The candidate's psychometric test score suggests a moderate fit for logical reasoning, work attitude, stress handling, and team collaboration. While the English test score indicates good communication clarity, the operational fit would benefit from further validation during interviews, especially regarding complex problem-solving under pressure and collaborative project environments.