Full-Stack Lead Assignment System

Enterprise-grade lead management and intelligent routing system

Built a comprehensive lead assignment platform that automates the distribution and tracking of leads across sales teams. The system features intelligent routing algorithms, real-time dashboard analytics, and workflow automation.

  • Tech Stack: Python, JavaScript, FastAPI, MS SQL Server, RESTful APIs
  • Key Features: Automated lead routing, real-time analytics, custom business rules engine
  • Impact: Streamlined lead distribution process, improved response times, enhanced team productivity

RAG Systems & SQL AI Agents

Intelligent AI systems for enhanced information retrieval and database queries

Developed production-ready RAG (Retrieval-Augmented Generation) systems and SQL AI agents that enable natural language interaction with databases and document repositories.

  • Tech Stack: Python, FastAPI, LangChain, LangGraph, Vector Databases, OpenAI API, MS SQL Server
  • Key Features: Semantic search, natural language to SQL translation, context-aware responses
  • Impact: Enabled non-technical users to query complex databases, improved information accessibility
  • Techniques: Embeddings, vector similarity search, prompt engineering

Spotify Music Recommendation API

Machine learning-powered music discovery and recommendation system

Built a comprehensive Spotify API wrapper with custom ML-based song recommendations. Implemented K-Nearest Neighbors algorithm to suggest similar songs based on audio features like danceability, energy, and acousticness.

  • Tech Stack: Python, Flask, Spotify API, scikit-learn, Heroku
  • Features: Track search, audio feature analysis, ML-powered recommendations
  • Results: Successfully deployed 3 production APIs serving recommendations
  • Live Demo GitHub Blog Post

Climate Change Visualization Dashboard

Interactive global temperature visualization platform

Created an interactive web application to visualize historical climate data across countries and time periods. Features animated choropleth maps showing temperature changes from 1750 to 2013.

  • Tech Stack: Python, Plotly, Pandas, Flask, Heroku
  • Features: Interactive time-series animations, country-level analysis, Celsius/Fahrenheit conversion
  • Impact: Made complex climate data accessible and engaging
  • Live Demo GitHub Blog Post

Heart Disease Prediction Model

Machine learning model with feature importance visualization

Developed a classification model to predict heart disease using patient health metrics. Implemented comprehensive feature importance analysis to identify key health indicators.

  • Tech Stack: Python, scikit-learn, XGBoost, Flask, Plotly
  • Results: Achieved 95%+ prediction accuracy
  • Features: Interactive web interface, real-time predictions, feature importance visualization
  • Live Demo GitHub Medium Article

K-Nearest Neighbors from Scratch

Educational implementation of KNN algorithm

Built KNN classification algorithm from scratch using only NumPy, including custom StandardScaler implementation. Demonstrated on breast cancer dataset classification.

  • Tech Stack: Python, NumPy
  • Achievement: 97.6% accuracy on breast cancer classification
  • Purpose: Deep understanding of ML fundamentals, educational resource
  • GitHub Blog Post

Data Storytelling with Python

Visual analytics and exploratory data analysis

Series of data analysis projects using Miami-Dade County open data, focusing on meaningful insights and compelling data visualizations.

  • Tech Stack: Python, Pandas, Matplotlib, Seaborn, Plotly
  • Focus: EDA, statistical analysis, data visualization, storytelling
  • Medium Article

More Projects

Check out my GitHub profile for more projects and contributions, or read my blog posts for detailed technical writeups and tutorials.