About
B.Tech student in Artificial Intelligence and Data Science with hands-on experience in machine learning, data science, NLP, and generative AI concepts. Has built end-to-end ML projects and internships involving Python, scikit-learn, FastAPI, and explainable AI.
Experience
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Data Science InternPinnacle Labs Pvt. Ltd.Aug 2026 – Sep 2026
Developed Python-based Data Science and NLP projects including fake news detection and sentiment analysis. Applied text preprocessing, feature extraction and classification techniques to analyze real-world textual datasets. Evaluated machine learning models and interpreted prediction results for text classification tasks.
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Machine Learning InternSuven Consultants & Technology Pvt. Ltd.Jun 2025 – Jul 2025
Performed data preprocessing, feature engineering and model training using Python, Pandas and Scikit-learn. Built supervised and unsupervised ML models and evaluated them using accuracy, F1-score and confusion matrices. Optimized end-to-end ML pipelines using GridSearchCV and hyperparameter tuning.
Education
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B.Tech in Artificial Intelligence and Data ScienceArtificial Intelligence and Data Science · Jun 2023
Skills
Tools / apps / platforms
Projects
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Underground Cable Fault DetectionPython, Pandas, NumPy, Scikit-learn
Trained Random Forest and SVM classification models on electrical signal data to identify LG, LL, LLG and LLLG cable faults. Applied preprocessing, cross-validation and model evaluation to improve prediction reliability. Integrated the trained ML model into a web interface for real-time fault prediction.
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Business Insights 360Power BI, ETL, Power Query, DAX, MySQL
Implemented ETL processes and developed complex DAX measures in Power BI to build five interactive dashboards covering Finance, Sales, Marketing, Supply Chain, and Executive insights. Designed data visualizations analyzing regional sales and supply chain forecasts, identifying key performance trends including a 36% sales increase in LATAM.
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DairyOS Pro – AI-Powered Dairy Management SystemPython, Machine Learning, FastAPI, React, MongoDB
Built ML models for demand forecasting, inventory spoilage-risk prediction and customer churn estimation using real business data. Developed a Python FastAPI service to serve machine learning predictions through REST APIs. Integrated ML predictions with a live full-stack dashboard for real-world business decision support.
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TruthLens AI – Misinformation Detection PlatformPython, NLP, React, FastAPI
Developed an AI-powered misinformation analysis platform for classifying content into Real, Fake, Satire, Misleading and Partially True. Applied NLP and text-classification techniques to analyze text, headlines and URLs. Implemented token-level explainability and domain credibility scoring.
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FairLend AI – Explainable & Fair Credit Approval SystemPython, XGBoost, Scikit-learn, SHAP, FastAPI
Built an end-to-end machine learning credit decision platform using Logistic Regression, Random Forest and XGBoost. Performed data preprocessing, model training and evaluation using accuracy, precision, recall, F1-score and ROC-AUC. Integrated SHAP explainability, counterfactual recommendations and fairness metrics into an AI-powered web application. Exposed model predictions through FastAPI REST endpoints for integration with the application dashboard.
Courses & certifications
- Leadership and Team Effectiveness · NPTEL
- Cloud Computing · NPTEL
- Explore Machine Learning using Python
- Artificial Intelligence & Machine Learning · Suven Consultants
- Python for Data Science · Saylor Academy