KISHORE KUMAR G B

Highly analytical and results-driven Data Analyst with experience in developing machine learning models, creating insightful dashboards, and automating data workflows. Proven ability to translate complex data into actionable insights, driving significant improvements in marketing campaign performance, operational efficiency, and customer satisfaction. Expertise in Python (Pandas,Numpy), data visualization tools (Tableau, Power BI), and statistical modeling techniques.

PROJECT TITLE : EMOTION LINK 

                                 Developed EmotionLink, an AI-powered wearable for deafblind individuals, achieving over 85% accuracy in emotion detection using CNN and RNN models and converting 8+ emotional states into real-time tactile feedback. Usability testing with 10+ users led to a 15% improvement in recognition clarity and a 20% increase in cross-cultural emotion interpretation reliability. The system was built using Python, TensorFlow, OpenCV, Arduino, and wearable sensors, demonstrating expertise in machine learning, embedded systems, and human-computer interaction.

PROHECT TITLE : FACE DETECTION 

                              Developed a real-time face detection system using OpenCV and Haar Cascade Classifier to identify and localize human faces in images and live video streams. Implemented efficient frame-by-frame processing with high accuracy under varying lighting and facial orientations. Explored use cases in surveillance, biometric systems, and smart attendance applications.

PROJECT TITLE : OBJECT DETECTION

                             Built an object detection system using deep learning models (YOLOv5 / SSD / Faster R-CNN) to identify and locate multiple objects in real-time from images and video feeds. Integrated OpenCV and Python for preprocessing, model deployment, and visualization. Achieved accurate detection across various object categories under different environmental conditions. Applications include surveillance, autonomous systems, and smart inventory management.

PROJECT TITLE : REAL TIME VOICE ASSISTANT

                             Developed a real-time voice assistant using Python to process voice commands and perform tasks such as web searches, application control, weather updates, and system operations. Integrated speech recognition (SpeechRecognition, Google API), text-to-speech (pyttsx3), and NLP for conversational interaction. Designed for hands-free operation with real-time response and user-friendly interface, showcasing practical applications of voice-driven automation.

PYTHON CERTIFICATE from SOLOLEARN