Yash Chaudhari

About

Aspiring Data Scientist and Data Analyst with hands-on experience in Python, SQL, Power BI, machine learning, NLP, and predictive analytics. Builds end-to-end ML projects, interactive dashboards, and data-driven solutions to support business decision-making.

Experience

• Data Science Intern
  Hisan Lab Pvt. Ltd.
  Jun 2026 – Present

  Analyzed and preprocessed structured datasets using Python, Pandas, NumPy, and SQL; developed classification and regression models; designed interactive Power BI dashboards and data visualizations.

Education

• B.Tech.
  DBATU, Lonere · DBATU, Lonere
  Electronics & Telecommunication Engineering (ENTC) · 2023 – 2025

Skills

• SQL <3 months
• Python <3 months
• Data Science <3 months
• Clustering <3 months
• Classification 3 to 6 months
• Feature Engineering 3 to 6 months
• Matplotlib <3 months
• Model Evaluation <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• PyTorch <3 months
• TensorFlow <3 months
• Seaborn <3 months
• CNN (Convolutional Neural Network) <3 months
• NLTK <3 months
• Spacy <3 months
• XGBoost <3 months
• Embeddings <3 months
• Tokenization <3 months
• Regression 3 to 6 months
• Hyperparameter Tuning <3 months
• Named Entity Recognition <3 months
• Recurrent Neural Networks <3 months
• text preprocessing <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Jupyter Notebook <3 months
• Microsoft Excel <3 months
• Microsoft Power BI 3 to 6 months
• MySQL <3 months
• Render <3 months
• Tableau <3 months
• Vercel <3 months
• VS Code <3 months

Projects

• Vehicle Price Prediction System – Developed using Random Forest
  Python, Random Forest, Scikit-learn

  Developed a Random Forest regression model using data preprocessing, feature engineering, EDA, predictive modeling, and model evaluation to estimate vehicle prices.

• Loan Approval Prediction System – Deployed via Flask
  Python, XGBoost, Flask, Scikit-learn

  Developed an end-to-end XGBoost classification model for loan approval prediction and deployed it using Flask for real-time predictions.

• Sentiment Analysis (NLP) – Deployed via Flask
  Python, NLP, Flask, Scikit-learn

  Built an end-to-end NLP sentiment classification pipeline using text preprocessing and machine learning; deployed a Flask-based web application for real-time sentiment prediction.

Courses & certifications

• Learn complete python in simple way · Udemy
• Data Science and Machine Learning Certificate · YBI Foundation