PATHALAM GURU VENAKATA VINAY KUMAR

Developed an AI-driven Agentic War Room system with an ML model for anomaly detection in system metrics and logs, enabling root cause analysis and automated insights. Built a Streamlit-based web application integrating OpenAI API for dynamic recommendations and real-time correlation analysis of anomalies.

Performed RFM (Recency, Frequency, Monetary) analysis on e-commerce customer data to identify behavioral segments. Implemented K-Means clustering in Python to segment customers into distinct groups for targeted marketing strategies. Visualized customer segments using Power BI and Matplotlib for stakeholder presentation.

Developed a time series forecasting model using Facebook Prophet to predict future retail sales based on historical trends. Performed decomposition, trend, and seasonality analysis; handled missing values and outliers for accurate forecasting. Visualized forecasted sales with confidence intervals and deployed the model through a Streamlit web interface.

Developed a user-friendly interface using HTML and Flask to collect user inputs, display predictions, and provide personalized health insights. Implemented data preprocessing and feature engineering for accurate predictions by handling missing data and scaling features.

Developed an AI application for face detection and recognition in images using pre-trained models, including Haar cascades and deep learning-based detectors. Integrated face recognition techniques, such as Siamese networks and ArcFace, to enhance identification accuracy.

Performed data cleaning and preprocessing on Amazon sales data to ensure accuracy for analysis. Analyzed sales patterns and extracted insights to support decision-making on product performance and sales trends. Created visualizations to showcase sales trends, top-performing products, and customer purchase behavior, aiding in strategic planning.

Developed a chatbot using Python with predefined rules and decision trees for accurate responses. Implemented keyword-based matching to handle FAQs and task-specific workflows effectively. Deployed the chatbot using Flask, ensuring accessibility and seamless interaction.

Developed an AI model using the YOLO object detection algorithm to classify solar panel images, automating real-time identification. Collected and labeled a dataset of solar panel images; used Python for data preprocessing, model training, and evaluation.

Currently pursuing an online Post Graduate program in Artificial Intelligence and Machine Learning. This professional program focuses on advanced concepts and practical applications in the field of AIML.

Completed a professional program in Data Science, specializing in data analysis techniques. Gained expertise in various aspects of data handling, interpretation, and visualization.

Obtained a Bachelor of Technology degree in Electronics and Communication Engineering. The curriculum covered fundamental principles and advanced topics in electronics and communication systems.

Completed Higher Secondary Education with a focus on Mathematics, Physics, and Chemistry (MPC). This foundational study prepared for further technical education and competitive examinations.

Achieved the Secondary School Certificate (SSC) from Oxford IIT School. The curriculum provided a broad foundation across various subjects, fostering essential academic skills.