
Dynamic problem solver with a proven ability to uncover insights through data-driven analysis. Expertise in statistical methodologies and proficiency in SQL and Python enable the transformation of complex data into actionable strategies. A strong foundation in data visualization techniques enhances communication of findings effectively. Committed to leveraging analytical skills to drive impactful business decisions and foster organizational growth.
Platforms/Methods: Jupyter Notebooks, MS Excel.
Programming languages: Python, SQL, R
Business intelligence tools: Power BI, Excel
Data visualization libraries: Matplotlib, Seaborn
Machine learning frameworks: Scikit-learn,DeBERTa, DistilBERT, LLaMA3
Data analysis techniques: Data cleaning, EDA,feature engineering