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Data Analyst with 1+ years in SQL, Python, and 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
I am a dedicated data and analytics professional with a solid foundation in statistics and economics, complemented by hands-on experience in data analysis and machine learning. I have successfully optimized SQL queries for performance improvement and developed predictive models that provide actionable business insights. My goal is to leverage expertise in programming and analytics to contribute to impactful data-driven solutions in an innovative environment.
Gokhale Institute of Politics and Economics
Master of Science in Economics · Economics
August 1, 2023 – June 1, 2025
MES Abasaheb Garware College
Bachelor of Science in Statistics · Statistics
June 1, 2017 – November 1, 2020
Nidhi Investments
Data & Operations Intern
July 1, 2025 – August 1, 2025
Pune, Maharashtra, India
Kayadhu Software Solution
Apprentice - Data & ERP Analytics
May 1, 2022 – February 1, 2023
Pune, Maharashtra, India
Kayadhu Software Solution
Data Analytics Intern
February 1, 2022 – April 1, 2022
Pune, Maharashtra, India
Stock Portfolio Optimisation & Risk Analysis
June 26, 2026 – Present
Analysed 30 stocks across 6 sectors in Python, evaluating risk-adjusted returns, Sharpe ratios, and fundamental metrics, including ROE, to build a data-driven investment thesis. Ran Monte Carlo simulation across 5,000 portfolio configurations to identify optimal asset allocation, achieving a 27.38% annualized return. Measured risk using Beta and Value-at-Risk (VaR) metrics, outperforming the Nifty 50 benchmark by a 25.59% alpha.
Insurance Fraud Detection Model
June 26, 2026 – Present
Cleaned and pre-processed claims dataset by handling missing values, removing outliers, and applying SMOTE to address class imbalance and improve model robustness. Trained a Random Forest classifier achieving 80% accuracy and 81% recall, enabling reliable detection of fraudulent claims with minimal false negatives.
Agentic AI Email Assistant
June 26, 2026 – Present
Developed an agentic AI system integrating Gmail API, the Ollama Gemma 3:4B model, and Telegram to automate email management. The bot intelligently summarises incoming emails, drafts responses, and requests user approval before sending.
Machine Learning with Python
Coursera
June 1, 2026 – Present
The Complete Oracle SQL Certification Course
Udemy
June 1, 2026 – Present
Research Analyst Certification
National Institute of Securities Markets (NISM)
June 1, 2026 – Present
The Data Science Course: Complete Data Science Bootcamp 2025
365 Careers
June 1, 2026 – Present
Introduction to Data Analytics
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI email assistants to financial portfolio optimization and fraud detection, indicates a broad interest in applying data analytics across various domains. Their academic background in Economics and Statistics, combined with practical experience in ERP analytics and financial operations, aligns well with roles requiring both theoretical understanding and practical application. The personal projects showcase initiative and a drive for continuous learning, which are positive indicators for cultural fit in an innovative environment. The certifications further reinforce a commitment to skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and professional experience, particularly in optimizing business processes using data. Their collaboration with developers on ERP system development indicates an ability to work in a team environment. The focus on quantifiable results (e.g., improving inventory turnover by 2x, reducing perishable wastage by ~70%) suggests a results-oriented approach. However, without specific psychometric or English test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.