Sathyak Balsu

Data Science graduate student specializing in machine learning, natural language processing, and computer vision. Developed impactful projects in image captioning and sentiment analysis, demonstrating strong capabilities in Python programming, data analysis, and predictive modeling.

• HCIA-AI – Huawei
• NLP with Python for Machine Learning
• Oracle Certified Foundations Associate

• Image Captioning as an Assistive Technology for the Blind, Designed an image captioning system utilizing CNN and NLP concepts to generate descriptive captions from image inputs. Developed an accessibility-focused workflow that converts visual information into audio-based descriptions for visually impaired users. Applied image feature extraction and language generation methodologies to combine computer vision and NLP tasks.
• Student Sentiment Analysis Using Machine Learning, Developed a sentiment analysis solution using LSTM and lexicon-based techniques to classify sentiment expressed in student feedback. Performed text preprocessing and sentiment extraction on unstructured textual inputs to identify opinion patterns. Applied NLP techniques to transform textual feedback into actionable sentiment insights.
• Gender Detection Using Neural Networks and OpenCV, Built a machine-learning-based gender classification system using OpenCV and neural network concepts for facial image analysis. Processed facial image inputs using computer vision techniques to identify visual patterns associated with classification tasks. Implemented image preprocessing and feature extraction workflows to support automated gender prediction.