PAVAN KUMAR

IT graduate with strong expertise in Python, Machine Learning, and AI. Proven ability to develop data-driven models that enhance performance and drive innovation. Committed to leveraging technical skills to deliver effective solutions in dynamic environments.

Enhancing hand gesture recognition through deep learning architectures

Technologies: Python, TensorFlow, Keras, OpenCV, NumPy, Pandas, and machine learning

• Built a convolutional neural network (CNN) to classify hand gestures using a Kaggle dataset
• Applied data preprocessing (resizing, augmentation), and split the data into training and testing sets (80:20)
• Integrated the trained model with OpenCV for real-time recognition via live webcam feed
• Deployed an interactive GUI using Tkinter for testing and predictions
• Achieved high accuracy while preventing overfitting with dropout layers and data augmentation

E-Commerce Analysis

Technologies: Python, Pandas, Plotly, Streamlit, Matplotlib, and Seaborn

• Analyzed 500K+ rows of e-commerce data with EDA and feature engineering (amount spent, year month)
• Built an interactive dashboard using Streamlit to explore KPIs, product trends, and customer behavior
• Integrated dynamic filters and visualizations with Plotly and Seaborn for user-driven insights
• Optimized layout for responsiveness and intuitive navigation

• Published research paper: Enhancing hand gesture recognition through deep learning architectures in the International Journal of Engineering, Applied Sciences, and Technology (IJEAST), Vol. 9, Issue 06, October 2024
  Link: https://doi.org/10.33564/IJEAST.2024.v09i06.007

• Data Science & Machine Learning Internship – Datavalley India Pvt. Ltd.
  240-hour internship under APSCHE (April 2024)
  Certificate: https://drive.google.com/file/d/1yXtCXMqKM-X7wT4XeRG-oVrLS5AAH-eD/view?usp=drivesdk
• Data Science Internship – BrainOvision Solutions Pvt. Ltd.
  Two-month internship in data science (May 2023 – July 2023)
  Certificate: https://drive.google.com/file/d/1Y_JGBewxAggJZNGlsHGFTMkGDYQyoTNG/view?usp=drivesdk

• English
• Telugu