hridya sudhakaran

About

Mathematics postgraduate and Data Science trainee with hands-on experience in Python, SQL, data analysis, statistical reasoning, and machine learning. Contributed to AI and predictive modeling projects involving data cleaning, preprocessing, validation, reporting, and automation.

Experience

• Data Science Intern
  Curvelogics Advanced Technology Solutions Pvt. Ltd.
  Jul 2026 – Present

Education

• Advanced AI & Applied Data Science with Python
  Data Science Academy
  Data Science · 2025 – 2026
• M.Sc. Mathematics
  Pondicherry University
  Mathematics · 2023 – 2025
• B.Sc. Mathematics
  Maharaja's College
  Mathematics · 2020 – 2023

Skills

• SQL
• Data Preprocessing
• FastAPI
• Python
• Power BI
• Prompt Engineering
• Data Cleaning
• Feature Engineering
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• PyTorch
• TensorFlow
• Seaborn
• Data validation
• API Integration Understanding
• Excel
• Statistical Analysis
• XGBoost
• Agentic AI Systems
• Google Gemini
• Generative AI (ChatGPT, Copilot, Gemini)

Projects

• Used Car Price Prediction
  Python, Pandas, Scikit-learn, XGBoost, Matplotlib

  Developed a regression workflow using 15K+ used-car listings with data inspection, cleaning, exploratory analysis, feature preprocessing, and model comparison. Compared Linear Regression, Ridge, Random Forest, and XGBoost, with XGBoost achieving R² = 0.891 and MAE ≈ ₹66K.

• Customer Churn Prediction
  Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn

  Built an end-to-end classification workflow covering data cleaning, preprocessing, categorical encoding, exploratory analysis, feature preparation, and model evaluation. Compared classification performance using accuracy, precision, recall, and F1-score, achieving 79% accuracy.

Courses & certifications

• Advanced AI & Applied Data Science with Python · Data Science Academy · 2026