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Thasin Dasthagir

@thasindasthagir

Data Scientist at Aivariant who developed ARIMA, SARIMA, and XGBoost forecasts for financial market data.

At Aivariant, I developed time series forecasting models using ARIMA, SARIMA, and XGBoost on financial market data to identify trends and generate predictive insights.

I prepared datasets through preprocessing, exploratory data analysis, and feature engineering, then evaluated and compared model performance using appropriate metrics.

During my Machine Learning Intern (Training Program) role at BR Concepts, I built and evaluated Scikit-learn models on real-world datasets. I also used Python, Pandas, and NumPy for data preprocessing and analysis.

For my Apple stock price forecasting project, I compared ARIMA, SARIMA, and XGBoost models and assessed performance using MAE, RMSE, and R Score. I also developed an interactive Tableau dashboard to analyze Superstore sales, profitability, customer trends, and regional metrics.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Aivariant

Mar 2026 - Jun 2026 (3 months)

Developed time series forecasting models using ARIMA, SARIMA, and XGBoost on financial market data. Performed data preprocessing, EDA, feature engineering, and model evaluation.

Python Pandas NumPy scikit learn ARIMA SARIMA XGBoost data preprocessing EDA Feature Engineering Time series Forecasting Model Evaluation

Machine Learning Intern (Training Program)

BR Concepts

Nov 2025 - Mar 2026 (4 months)

Performed data preprocessing, EDA, and feature engineering using Python, Pandas, and NumPy. Built and evaluated machine learning models using Scikit-learn on real-world datasets.