TM

Tasneem Momin

B.Tech AI & Data Science student · Aspiring AI/ML Intern

Sangli, India

@tasneem_momin

0 followers

🎓 B.Tech in Artificial Intelligence and Data Science at Annasaheb Dange College of Engineering and Technology, Ashta

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

  • Data Science Intern
    Pinnacle 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.

  • Machine Learning Intern
    Suven 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

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub MongoDB VS Code Google Colab Microsoft Excel Microsoft Power BI

Projects

  • Underground Cable Fault Detection
    Python, 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.

  • Business Insights 360
    Power 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.

  • DairyOS Pro – AI-Powered Dairy Management System
    Python, 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.

  • TruthLens AI – Misinformation Detection Platform
    Python, 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.

  • FairLend AI – Explainable & Fair Credit Approval System
    Python, 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

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