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Data Analyst with less than a year in Python, SQL & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Economics graduate with expertise in data analysis, machine learning, and econometric research. Proficient in SQL, Python, Excel, Power BI, and STATA to generate actionable business and policy insights, driving data-driven decisions through analysis
Jaypee Institute of Information Technology, Noida
MSc Economics · Economics
August 1, 2023 – June 30, 2025
Shyama Prasad Mukherji College, University of Delhi
BA Economics & Computer Application · Economics & Computer Application
August 1, 2020 – June 30, 2023
National Victor Public School, Delhi
CBSE
N/A – May 31, 2020
DVD Business Insight Simulation
January 1, 2025 – January 1, 2025
Created KPIs including revenue, store performance, and category metrics to evaluate business outcomes. Utilized joins, CTEs, and window functions to compute monthly trends, cumulative metrics, and Pareto analysis. Applied K-Means clustering to segment 599 customers into high-value and regular groups, enabling targeted marketing campaigns. Developed Decision Tree classifier to identify 96 at-risk customers (16% churn rate, $45K+ revenue exposure), providing actionable retention strategies with 62% predictive accuracy. Delivered insights for customer retention, personalized marketing strategies, and revenue optimization, contributing to estimated 10–20% potential revenue increase.
Car Price Prediction
January 1, 2025 – January 1, 2025
Identified key variables influencing car prices and investigated their relationships with pricing trends. Detected and resolved multicollinearity issues using Variance Inflation Factor (VIF) to enhance model stability. Built a Multiple Regression model to accurately predict car prices. Evaluated model accuracy with R² and RMSE, improving predictive reliability.
Firm-Level Innovation Analysis
January 1, 2025 – January 1, 2025
Examined firm-level data from 5,000+ manufacturing companies to map product, process, and R&D innovation across sectors and states. Used Logistic Regression in Stata with 30+ variables (finance, infrastructure, regulation, skills, firm characteristics) to identify factors influencing innovation likelihood. Found that access to finance strongly boosts innovation; infrastructure issues, informal competition, and bureaucratic delays hinder it; training programs and government support had mixed impact. Provided actionable recommendations for SMEs and policymakers to enhance innovation, targeting finance, infrastructure, and sector-specific barriers.
Python for Data Analysis
Udemy
June 1, 2026 – Present
SQL Masterclass
Udemy
June 1, 2026 – Present
Data Analytics
JIIT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis, machine learning, and econometrics, aligning well with the analytical demands of a Data Analyst role. The diversity of projects, from business insights simulation to firm-level innovation analysis, shows a broad application of data skills. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate setting. The certifications indicate a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical analysis into business impact and actionable recommendations, which is crucial for a Data Analyst role. The academic background in Economics suggests a strong analytical mindset and understanding of economic principles relevant to business data. However, without professional experience, the operational fit regarding collaboration, project management, and handling real-world data challenges in a corporate environment is unproven.