Andrew M
- Research Program Mentor
MA at University of California Berkeley (UC Berkeley)
Expertise
Data Science & Analytics
Bio
Accredited data scientist trained in modern mathematical modeling & machine learning methods with an academic background in statistics. Experienced in the industry of Energy & Commodities alongside business practices & methodologies associated with global Fortune 100 Companies. Currently working as a commodities associate at Citadel. Interested in data science & machine applications to solve real-life & pragmatic problems. A portfolio of my work can be found at: statisticsAndrew.wordpress.comProject ideas
Large Language Model Chatbots
Develop and deploy a chatbot powered by large language models (LLMs), such as OpenAI's GPT-4, to enhance customer service, streamline operations, and provide users with a more interactive and responsive experience. This AI-driven chatbot will be capable of understanding and generating human-like text based on user inputs, thereby providing relevant information, answering queries, and performing specific tasks autonomously.
NLP Sentiment Analysis
Develop a robust sentiment analysis model leveraging Natural Language Processing (NLP) techniques to automatically identify and categorize sentiments expressed in textual data. This model will be instrumental in analyzing customer feedback, social media interactions, and other text-based data sources to gain insights into public opinion, customer satisfaction, and overall sentiment trends.
Genetic Algorithms
Research and implement a Genetic Algorithm (GA) framework to solve complex optimization problems. Genetic Algorithms are a type of evolutionary/heuristic algorithm that mimic the process of natural selection to identify optimal or near-optimal solutions for various types of optimization challenges. This project will focus on applying GAs to specific optimization problems within our organization, such as resource allocation, scheduling, and route optimization.