10/17/2026 updated
100 % available
Data Analyst | Business Intelligence & Machine Learning
Pune, India
Only remote
B.E. Computer Engineering (First Class with Distinction, CGPA: 8.84)About me
I'm Divesh Sonawane — B.E. Computer Engineering graduate (SPPU, 2026), First Class with Distinction, 8.84 CGPA. I specialise in Data Science, Machine Learning, and Business Intelligence. I've spent the last two years not just learning tools — but shipping real projects with real outcomes.
Data AnalysisBusiness IntelligenceBusiness Intelligence DevelopmentBig DataBusiness AnalysisData ArchitectureData IntegrationData TransformationData MiningDatabase AnalysisHR AnalyticsIntelligence AnalysisData IntelligencePython (Programming Language)Machine Learning
Data Analytics & Business Intelligence
Expertise in Excel, Statistics, Power BI, Tableau, DAX, Power Query, Dashboard Development, KPI Reporting, Data Visualization, Business Intelligence, Pandas, NumPy, Matplotlib, Seaborn, Plotly, EDA, Data Cleaning, and Data Preprocessing.
Programming & Database
Proficiency in Python and SQL for data analysis, database management, and building data-driven solutions.
Machine Learning
Knowledge of Supervised Learning (Logistic Regression, Random Forest, SVM, LightGBM, XGBoost), Unsupervised and Anomaly Detection (Isolation Forest, AutoEncoders, Clustering algorithms), Neural Networks (CNN, MLP, AGCN), Scikit-Learn, TensorFlow, and PyTorch.
Tools & Platforms
Hands-on experience with Jupyter Notebook, VS Code, GitHub, Git Version Control, Flask, Streamlit, and MySQL Workbench.
Dashboard Development
Development of interactive dashboards with slicers, KPI cards, and drill-down reports using Power BI and Tableau.
Data Preprocessing & Feature Engineering
Application of EDA, feature engineering, preprocessing, and model evaluation techniques using Python.
Fraud Detection & Anomaly Detection
Building Fraud Detection models using Isolation Forest and AutoEncoders, and Customer Churn Prediction models using Logistic Regression, Random Forest, and XGBoost.
Multimodal AI & Signal Processing
Development of multimodal AI systems for emotion, stress, and behavioral analysis using facial expressions, body gestures, gaze tracking, and speech signals, as well as physiological-signal ML pipelines using EDA, EMG, ECG, TEMP, and RESP features.
Expertise in Excel, Statistics, Power BI, Tableau, DAX, Power Query, Dashboard Development, KPI Reporting, Data Visualization, Business Intelligence, Pandas, NumPy, Matplotlib, Seaborn, Plotly, EDA, Data Cleaning, and Data Preprocessing.
Programming & Database
Proficiency in Python and SQL for data analysis, database management, and building data-driven solutions.
Machine Learning
Knowledge of Supervised Learning (Logistic Regression, Random Forest, SVM, LightGBM, XGBoost), Unsupervised and Anomaly Detection (Isolation Forest, AutoEncoders, Clustering algorithms), Neural Networks (CNN, MLP, AGCN), Scikit-Learn, TensorFlow, and PyTorch.
Tools & Platforms
Hands-on experience with Jupyter Notebook, VS Code, GitHub, Git Version Control, Flask, Streamlit, and MySQL Workbench.
Dashboard Development
Development of interactive dashboards with slicers, KPI cards, and drill-down reports using Power BI and Tableau.
Data Preprocessing & Feature Engineering
Application of EDA, feature engineering, preprocessing, and model evaluation techniques using Python.
Fraud Detection & Anomaly Detection
Building Fraud Detection models using Isolation Forest and AutoEncoders, and Customer Churn Prediction models using Logistic Regression, Random Forest, and XGBoost.
Multimodal AI & Signal Processing
Development of multimodal AI systems for emotion, stress, and behavioral analysis using facial expressions, body gestures, gaze tracking, and speech signals, as well as physiological-signal ML pipelines using EDA, EMG, ECG, TEMP, and RESP features.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentHindiFluent
Project history
Completed a certified project-based engagement analyzing auto loan securitisation data under the Data Analyst role, applying structured data analysis techniques to financial datasets. Awarded Certificate of Project Work Experience by Zetheta Algorithms Pvt Ltd.
Built a relational e-commerce database with 99K+ orders, 112K+ items, 103K+ payments and 96K+ customers, performing data validation and business analysis using SQL; applied JOINs, CTEs, CASE, aggregations, RANK(), ROW_NUMBER(), LAG() and window functions.
Built a Power BI dashboard analyzing $12.64M in sales across 3 customer segments: Consumer (51.5%), Corporate (30.3%), and Home Office (18.3%), using DAX measures to surface profitability and customer trends.