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Data Analyst with less than a year in Python & SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with a Master's in Statistics and hands-on experience in Python, SQL, Power BI, Excel, and Machine Learning. Skilled in data cleaning, dashboard development, statistical analysis, and data visualization. Passionate about transforming data into actionable business insights.
MIT World Peace University
M.sc Statistics · Statistics
August 1, 2023 – June 30, 2025
MSG Jr and Sr college
B.sc Statistics · Statistics
August 1, 2020 – June 30, 2023
Brand Era-business solution
Business Analyst
July 1, 2025 – January 1, 2026
India
Plasmid Innovation
Data Analyst
February 1, 2025 – May 1, 2025
India
Prediction of Mumbai's Temperature
June 1, 2026 – Present
Developed a time-series forecasting model using ARIMA. Analyzed seasonal trends using ADF, ACF, and PACF. Improved forecasting accuracy through model evaluation.
Credit Card Fraud Detection
June 1, 2026 – Present
Built a machine learning model to detect fraudulent transactions. Performed data preprocessing and feature engineering. Evaluated model performance using Precision, Recall, and ROC-AUC.
Urban and rural digital transaction analysis
June 1, 2026 – Present
Analyzed digital transaction patterns across urban and rural regions. Identified adoption trends using statistical analysis. Created visual reports to support business insights.
Car price prediction
June 1, 2026 – Present
Developed a regression model to predict used car prices. Performed data cleaning and feature engineering. Evaluated model performance using regression metrics.
IBM Introduction to SQL
IBM
June 1, 2026 – Present
IBM Python basics
IBM
June 1, 2026 – Present
Excel Basics for Data Analyst
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like finance (fraud detection), urban planning (transaction analysis), and environmental science (temperature prediction), indicating a broad interest in applying data analysis to various domains. The listed skills and tools align well with a typical Data Analyst role, suggesting a good fit for data-centric teams. The experience, though short-term, shows exposure to both business analysis and data analysis functions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver analytical insights. The experience as a Business Analyst and Data Analyst suggests an understanding of business requirements and data-driven decision-making. However, without specific psychometric or English test results, it's difficult to assess stress handling, team collaboration, or advanced communication clarity.