Akshara Kolappan

Data Scientist with hands-on experience in Machine Learning, Predictive Modeling, Time Series Forecasting, and
Data Analysis using Python, SQL, Scikit-learn, Pandas, NumPy, and Prophet. Engineered and refined models
including Random Forest, KNN, CNN, XGBoost, CatBoost, LSTM, SARIMAX — achieving 85–92%
accuracy and 18–30% improvements in forecasting, precision, and efficiency. Proficient in Feature Engineering,
Hyperparameter Tuning, Model Evaluation (MAE, RMSE, MAPE, R²), scalable pipelines, and delivering
actionable insights from large datasets. Ready to drive production-grade data solutions.
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Data Scientist with hands-on experience in Machine Learning, Predictive Modeling, Time Series Forecasting, and
Data Analysis using Python, SQL, Scikit-learn, Pandas, NumPy, and Prophet. Engineered and refined models
including Random Forest, KNN, CNN, XGBoost, CatBoost, LSTM, SARIMAX — achieving 85–92%
accuracy and 18–30% improvements in forecasting, precision, and efficiency. Proficient in Feature Engineering,
Hyperparameter Tuning, Model Evaluation (MAE, RMSE, MAPE, R²), scalable pipelines, and delivering
actionable insights from large datasets. Ready to drive production-grade data solutions.

MSc Data Science, BSc statistics