Hemal Simon

Background

About Hemal Simon

Junior Data Scientist with a strong background in developing innovative machine learning solutions tailored to business needs. With hands-on experience in AI, NLP, and data analysis, I’m passionate about transforming data into actionable insights that drive business success. I specialize in building and optimizing AI-driven systems, such as sentiment analysis tools and chatbots, to improve efficiency and customer experience. My approach blends technical proficiency with a deep understanding of business objectives, ensuring impactful and measurable results. Core Competencies: Machine Learning (Predictive Modeling, Logistic Regression, Decision Trees, Random Forest, SVM, KNN, Naive Bayes, Linear Regression, XGBoost) Natural Language Processing (NLP), Large Language Models (LLM), Generative AI Data Analysis and Visualization Sentiment Analysis and Contextual-Based Methods AI Chatbot Development and Optimization Technical Skills: Programming: Python, SQL, PostgreSQL Libraries/Tools: Pandas, NumPy, Matplotlib, HuggingFace, Langchain Specialized Models: Mistral 7B, Phi 3 Professional Experience Highlights: Led the development of a sentiment analysis system, increasing positive customer reviews by 20%. Developed an advanced banking chatbot using Rasa, reducing human intervention by 30%. Created a Retrieval-Augmented Generation (RAG) QA bot, slashing response time from 15-20 seconds to 2-3 seconds, enhancing efficiency by 30%. I am eager to continue leveraging my skills to drive impactful projects in data science and AI. Let’s connect to explore opportunities, collaborate on innovative projects, or discuss the latest advancements in machine learning and AI.