A passionate Data Scientist with a strong foundation in Machine Learning, NLP, data visualization, and Big Data Processing. I truly believe that data can drive impactful business decisions and foster societal growth. My goal is to extract meaningful insights, develop scalable models, and create data-driven solutions that make a difference to both technical and non-technical audiences.

• Master’s in Data Science (Computational Methods) | DePaul University.
• Bachelor’s in International Business, Finance, and Economics | University of Wisconsin-Superior.

• 📊 Expertise in: Data Science & Statistical Analysis, Machine Learning, Recommender Systems, NLP, Deep Learning (RNN, LSTMs, Transformers), Data Mining & Visualization, Cloud Computing (AWS, Hadoop), and Power BI/Tableau.
• 📌 Industry Experience: Data Science & Statistical Analysis, Data Mining & Visualization, Data Warehouse, Business Intelligence, Recommender Systems, Natural Language Processing, Machine Learning Models, Deep Learning, Programming, Compliance, Project Management, Customer Service, Supervision.
• 🔥 Passionate About: AI, Scalable ML Systems, LLMs, and Data-Driven Decision Making.

🚀 Machine Learning & AI:
📊 Data Analytics & Visualization:
💾 Databases & Cloud:
🛠 Programming Languages:
📂 Other Tools:

1️⃣ 🏡 Semantic-driven Hybrid Recommender System for Chicago Airbnb Listings

• Built a system leveraging embeddings, sentiment analysis, and proximity to train stations to enhance Airbnb recommendations.

2️⃣ 🍽️ Item-based Collaborative Recommender for Yelp Establishments

• Developed collaborative filtering models to recommend establishments based on shared characteristics.

3️⃣ 📈 Financial Data Analysis - AXA Underwriting Insights

• Power BI Framework for Underwriting Analytics – Built a custom reporting and analysis framework in Power BI to analyze AXA underwriting performance.

4️⃣ 📰 Fake News Detection with NLP

• Designed an NLP-based misinformation classification model using TF-IDF and LSTMs.

5️⃣ 🤖 Building N-gram Language Models & Retrieval Augmented Generation (RAG)

• Trained Mistral 7B & GPT-3.5 Turbo to evaluate perplexity and retrieval efficiency.

• Business analytics framework and data warehouse.
• Expanding my expertise in LLMs (Mistral, T5), Vector Search, and RAG.
• Exploring MLOps, Databricks, and scalable ML deployment.
• Actively seeking new opportunities in Data Science & AI.

• 📄 My Resume
• 💼 LinkedIn
• 📧 Email
• 🎥 YouTube

Looking forward to connect with you! ⚡