🎓 Computer Science Graduate | 📊 Aspiring Data Analyst

I enjoy working with data to uncover insights, solve real-world problems, and support data-driven decision making. I have hands-on experience in Python, SQL, Excel, and Power BI through multiple analytics and machine learning projects.

Tools: Python, SQL, Power BI

• Analyzed 18 IPL seasons (1,169 matches and 278K+ ball-by-ball records)
• Performed data cleaning, exploratory data analysis, and statistical analysis
• Built interactive Power BI dashboards for team performance, player stats, and venue insights

Tools: Python, Pandas, Scikit-learn

• Built regression models to predict laptop prices based on hardware specifications
• Applied feature engineering and model tuning
• Achieved R² score of 0.88 using Gradient Boosting

Tools: Excel

• Analyzed 119K+ hotel booking records
• Identified 37% cancellation rate and revenue impact of 16.7M
• Built interactive Excel dashboards with pivot tables and KPI cards

Tools: Power BI

• Analyzed 3.9K transactions and $233K sales data
• Identified 55.9% repeat purchase rate
• Built dashboards to analyze product categories, discounts, and sales channels

Programming

• Python
• SQL
• C

Data Analysis

• Data Cleaning
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Statistical Analysis

Visualization

• Power BI
• Excel
• Matplotlib
• Seaborn

Libraries

• Pandas
• NumPy
• Scikit-learn

Tools

• Jupyter Notebook
• Git
• GitHub

LinkedIn: https://linkedin.com/in/nakka-srikanth GitHub: https://github.com/srikanthnakka Email: nakkasrikanth798@gmail.com