09/23/2026 updated
100 % available
Data & Business Analyst | Python, SQL, Power BI, Machine Learning
Bhopal, India
Worldwide
B.Tech, Computer Science (AI & ML) - Oriental College of Technology, Bhopal, IndiaAbout me
I’m a Data Analyst and AI/ML enthusiast skilled in Python, SQL, Excel, Power BI, and data visualization. Specialized in transforming raw data into clean, meaningful insights through dashboards, statistical analysis, and machine learning.
Data AnalysisFinancial Data AnalysisBig DataBusiness AnalysisCustomer InsightData CablingData EntryData MiningExcel FormulasExcel Pivot TablesGoogle AnalyticsPython (Programming Language)Marketing AnalyticsPredictive AnalyticsVisualization
Data Analysis & Business Reporting
Expertise in KPI Analysis, Performance Analysis, Business Insights, Data-Driven Decision Making, Business Reporting, Performance Reporting and Trend Analysis, transforming messy datasets into actionable insights.
Programming & Querying
Proficiency in Python and SQL for Data Extraction, Data Manipulation, Filtering, Sorting and Aggregation, enabling efficient handling of large and complex datasets.
Machine Learning & Forecasting
Application of Machine Learning techniques including Deep Learning, Image Classification, Transfer Learning, Fine-Tuning, Logistic Regression, Random Forest and Time-Series Forecasting (ARIMA) using Scikit-learn, TensorFlow and Keras.
Data Analysis with Excel & Pandas
Strong command of Microsoft Excel (VLOOKUP, XLOOKUP, Pivot Tables) and Pandas/NumPy for Data Cleaning, Data Preprocessing, Missing-Value Handling, Data Validation, Exploratory Data Analysis (EDA) and Data Summarization.
Data Visualization & Power BI
Development of interactive dashboards and KPI Dashboards using Power BI, enabling clear and impactful data visualization for business stakeholders.
ETL Pipeline Development
Building ETL pipelines using Python, Pandas, NumPy and OpenPyXL to consolidate multiple data sources into centralized SQLite databases for streamlined analysis.
Financial & Risk Analysis
Measurement of risk and return through CAGR, Annualized Return, Volatility, Sharpe Ratio, Maximum Drawdown, Value at Risk (VaR), Conditional Value at Risk (CVaR) and Herfindahl-Hirschman Index (HHI) for mutual fund and stock analysis.
Tools & AI
Hands-on experience with Jupyter Notebook, TensorFlow, Keras, yfinance, GenAI and Prompt Engineering for end-to-end data science and AI workflows.
Expertise in KPI Analysis, Performance Analysis, Business Insights, Data-Driven Decision Making, Business Reporting, Performance Reporting and Trend Analysis, transforming messy datasets into actionable insights.
Programming & Querying
Proficiency in Python and SQL for Data Extraction, Data Manipulation, Filtering, Sorting and Aggregation, enabling efficient handling of large and complex datasets.
Machine Learning & Forecasting
Application of Machine Learning techniques including Deep Learning, Image Classification, Transfer Learning, Fine-Tuning, Logistic Regression, Random Forest and Time-Series Forecasting (ARIMA) using Scikit-learn, TensorFlow and Keras.
Data Analysis with Excel & Pandas
Strong command of Microsoft Excel (VLOOKUP, XLOOKUP, Pivot Tables) and Pandas/NumPy for Data Cleaning, Data Preprocessing, Missing-Value Handling, Data Validation, Exploratory Data Analysis (EDA) and Data Summarization.
Data Visualization & Power BI
Development of interactive dashboards and KPI Dashboards using Power BI, enabling clear and impactful data visualization for business stakeholders.
ETL Pipeline Development
Building ETL pipelines using Python, Pandas, NumPy and OpenPyXL to consolidate multiple data sources into centralized SQLite databases for streamlined analysis.
Financial & Risk Analysis
Measurement of risk and return through CAGR, Annualized Return, Volatility, Sharpe Ratio, Maximum Drawdown, Value at Risk (VaR), Conditional Value at Risk (CVaR) and Herfindahl-Hirschman Index (HHI) for mutual fund and stock analysis.
Tools & AI
Hands-on experience with Jupyter Notebook, TensorFlow, Keras, yfinance, GenAI and Prompt Engineering for end-to-end data science and AI workflows.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishGoodHindiNative speaker
Project history
Worked on the Nifty100 Financial Intelligence Platform, building an ETL pipeline pulling 12 Excel datasets into a centralized SQLite database. Developed a KPI engine tracking 50+ financial indicators across 4 stock-screening categories and wrapped results in a Streamlit and Plotly dashboard with a 5-level recommendation system. Also worked on Mutual Fund Analytics, consolidating 10 datasets covering 40 mutual fund schemes, ~46K NAV records and 32K+ investor transactions, measuring risk and return metrics and building a rule-based fund recommendation system with a Power BI dashboard.
Conducted Customer Churn Analysis & Prediction using 20+ SQL queries and Python across 7,043 records, identifying a 26.53% overall churn rate. Tested Logistic Regression vs. Random Forest, achieving 80.77% accuracy, and presented results via a Power BI dashboard. Also performed Financial Forecasting for AAPL Stock Prices using ARIMA(2,1,1) with walk-forward validation, achieving a MAPE of 1.12%, and built a Power BI dashboard showing trends and performance.
Built an image classifier using MobileNetV3-Large to sort waste into 6 categories. Trained on 15,135 images with an 80:20 split, applying resizing, normalization and augmentation. Fine-tuned through transfer learning to achieve 91-92% validation accuracy, evaluated using precision, recall, F1-score and a confusion matrix.