AKSHAY M

Data Science professional with 3+ years in Linux system engineering and hands-on experience in machine learning, deep learning, and data analysis. Skilled in Python, SQL, and visualization tools, with proven ability to build predictive models and deliver actionable insights.

• 2023-2024 Achieved client satisfaction rating of 95%, surpassing departmental targets and fostering positive client relationships.
• 2018 Secured First prize in TECH VISION for the project Prediction of Failures in Bearing using Piezoelectric sensor.

Capstone Projects (Data Science Internship)

• Flight Fare Price Prediction – Developed regression models (Linear Regression, Random Forest, SVM) to estimate flight fares using historical data, achieving 82% prediction accuracy.
• House Price Prediction (Advanced Regression) – Applied Linear Regression, Decision Trees, and ensemble methods to predict housing prices, achieving an R² score of 0.80 through feature engineering and hyperparameter tuning.
• Earthquake Damage Prediction – Built classification models (Logistic Regression, Decision Trees, Random Forest, KNN) to predict building damage levels, achieving 62% accuracy in disaster risk assessment.
• Teacher Performance Prediction – Implemented classification models to evaluate teacher performance metrics, achieving 76% accuracy using Gradient Boost.

Karnataka State Road Transport Corporation Depot, Mangalore (April 2018).

Certified Data Scientist by NASSCOM