Praveen Reddy Kandaklatla

Analytical and detail-oriented Data Analyst skilled in Python, SQL, and data visualization. Experienced in cleaning, analyzing, and modeling real-world datasets to deliver actionable insights. Proficient in tools like Pandas, Seaborn, and MySQL, with hands-on projects in predictive analysis and behavioral data. Passionate about using data to drive smart business decisions.

Rainfall Prediction and Analysis Using Machine Learning Techniques

• Collected and preprocessed historical meteorological data.
• Applied feature engineering and data visualization to identify weather trends.
• Built and evaluated multiple regression models to forecast rainfall.
• Tools/Tech: Python, Pandas, Seaborn, Scikit-learn

Human Stress Prediction Using Machine Learning

• Processed physiological and behavioral data including heart rate, breathing rate, skin temperature, and activity.
• Implemented classification models to detect stress levels with high accuracy.
• Optimized model performance using hyperparameter tuning and cross-validation.
• Tools/Tech: Python, Pandas, Matplotlib, ML Algorithms

Completed a comprehensive Data Analysis certification covering tools like SQL, Python and Machine learning.

• Competed in the Times NIE National Aptitude Challenge, a nationwide competition focused on aptitude, logical reasoning, and analytical thinking.
• Took part in the Khelo Telangana Games, demonstrating teamwork, discipline, and competitive spirit in volleyball.