Shyamily Haridas

I am a data scientist with an MTech and over eight years of professional experience, including two years of hands-on data science work through intensive internships. I specialize in advanced analytics, machine learning, and statistical modeling.

I work primarily in Python and related libraries (NumPy, Pandas, Scikit-learn, Seaborn, Matplotlib, SciPy) and query relational data with SQL/MySQL. I also build visualizations using Tableau, Power BI, and Excel and use tools such as Git, Jupyter, and Google Colab for end-to-end development.

My projects include an end-to-end stock price prediction system (5 years of data) where I compared Linear Regression, LSTM, and Random Forest and recorded R²: 0.9991 and MSE: ~1.27 using Linear Regression. I also built a hotel booking cancellation prediction pipeline on 119K+ records, engineered 17 predictive features (Lasso, mean encoding, temporal extraction), and achieved 93.8% accuracy with KNN.

I deliver production-oriented predictive solutions that surface actionable insights and measurable business impact. I seek roles where I can continue applying ML to real-world problems, mentor peers, and grow my expertise in deploying robust data-driven systems.