π― Aspiring Data Analyst with hands-on skills in SQL, Python, Excel, and Tableau.
π Passionate about transforming data into actionable insights.
π€ Exploring how to integrate Large Language Models (LLMs) into analytics workflows.
- Languages & Tools: Python, SQL, Excel, Tableau, Git
- Libraries: pandas, NumPy, matplotlib, seaborn, scikit-learn
- Core Skills: Data Cleaning, EDA, Visualization, Predictive Modeling
- Linear regression model to predict car prices
- Cleaned & normalized raw data, performed EDA
- Tools: Python, pandas, matplotlib
- Used Decision Tree & Random Forest to recommend crops based on soil data
- Tools: Python, scikit-learn, seaborn
- Created interactive dashboard in Tableau
- Analyzed and visualized fraud data
- HackerRank SQL (Advanced)
- IBM Data Analyst Capstone
- TCS & Deloitte Virtual Internships (Forage)
- Infosys Springboard Python
- π§ satyaudaymeka@gmail.com
- π LinkedIn
- π Tableau Portfolio
Always learning. Always building. Let's connect! π