Alan A.

ML Scientist, Operations Research, Price Optimization, DataVis, PhD

I have 8+ years of experience across industry and research, including 4 years in industry and 4 years during my PhD in Computer Science. My background is at the intersection of Data Science, Machine Learning, Operations Research, and AI systems, with experience building models, pipelines, dashboards, optimization algorithms, and decision-support tools. Recently, I have also been working with LLM-based workflows, RAG systems, A/B experimentation, analytics automation, and AI-assisted data products. I am especially useful when a project needs more than a generic dashboard or model — for example, when you need to combine data analysis, business logic, machine learning, optimization, and automation into one reliable system. What I Can Help You With A) Data Science, Analytics & Experimentation * Exploratory data analysis and business insights * A/B testing and experiment analysis * KPI design and performance measurement * Customer, product, dynamic pricing, and operational analytics * SQL data extraction, cleaning, and transformation * Automated reports and decision-support dashboards * Power BI and Streamlit dashboards B) Machine Learning & Predictive Modeling * Forecasting and demand prediction * Predictive analytics and scoring models * Classification, regression, and clustering * Model evaluation, validation, and improvement * Custom machine learning algorithms * PyTorch model development * End-to-end ML pipelines * Deployment-ready ML workflows C) LLMs, RAG & AI Automation * Retrieval-Augmented Generation, also known as RAG * LLM-powered search over documents or internal knowledge bases * AI assistants for business workflows * Prompt engineering and evaluation * LLM-based data extraction and summarization * Automating repetitive analysis or reporting tasks with AI * Prototyping AI tools using Python, APIs, and vector search concepts D) Operations Research & Optimization * Linear Programming, LP * Mixed-Integer Linear Programming, MILP * Quadratic Programming * Routing and network optimization * Inventory optimization * Pricing and allocation models * Custom optimization algorithms * Combining machine learning with optimization for better decisions Technical Skills: Python, SQL, PyTorch, Pandas, NumPy, Scikit-learn, Power BI, Streamlit, Git, AWS, PuLP, OR-Tools, Gurobi, NetworkX, APIs, LLM workflows, RAG, A/B testing, data pipelines, optimization modeling. Types of Projects I Am a Good Fit For: * Building dashboards that actually support business decisions * Analyzing experiments, campaigns, product changes, or pricing tests * Creating forecasting or prediction models * Automating manual data analysis workflows * Building RAG or LLM-based tools for internal documents * Designing optimization models for inventory, routing, pricing, or allocation * Turning messy data into a clean, useful analytical system My strength is combining strong technical depth with practical business thinking. I can help you go from a vague business problem to a working data, AI, or optimization solution.