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modias/README.md

Hi, I'm Ashutosh Modi 👋

**Passionate about leveraging data and analytics to solve real-world problems. Experienced in Python, SQL, data visualization, personal projects. Driven to transform complex datasets into actionable insights and build data-driven solutions that create meaningful impact. 💼 LinkedIn | 📧 Email

🚀 What I'm Working On

  • 🎓 Pursuing a B.S. in Data Science at the University of North Carolina at Charlotte.
  • 🏗️ Exploring cloud technologies, Azure AI, and machine learning systems.
  • 💻 Developing data-driven architectures and full-stack web applications.

🛠️ Technical Toolkit

Category Technologies
Languages Python, SQL, TypeScript, JavaScript, Assembly
Data & Analytics Pandas, NumPy, Matplotlib, Power BI, Recharts, ETL Concepts, Data Modeling
Databases MySQL, Oracle SQL, PostgreSQL, SQLite, Microsoft Access
Backend & AI FastAPI, Express.js, Groq AI (LLaMA 3.3 70B), REST APIs, JWT, OAuth
Frontend React, Next.js, Tailwind CSS, Zustand, React Hook Form, Zod
Tools & Dev Environment Git, GitHub, VS Code, PyCharm, Jupyter Notebook, IntelliJ, Eclipse, SolidWorks

💻 Featured Projects

🧠 CareerCore — AI Career Intelligence Platform

Next.js • FastAPI • Python • SQLite • Groq AI • Tailwind CSS

  • Core Concept: A full-stack AI-powered career intelligence platform designed to help students optimize job applications through resume analysis, skill gap tracking, and interview practice.
  • Data & AI Engineering: Engineered a weighted resume scoring algorithm comparing extracted skills against job descriptions (55% required skills, 25% preferred, 20% quantified impact). Integrated Groq LLaMA 3.3 70B for automated resume bullet optimization and interview grading.
  • System Design: Connected JSearch RapidAPI to stream live job listings with per-user match scoring, secured via JWT/bcrypt and LinkedIn OAuth, optimized with 10-minute server-side caching.

🏠 SmartBudget — Housing Affordability Platform

React 19 • TypeScript • Zustand • Zod • Tailwind CSS • Express.js

  • Core Concept: A rental recommendation engine that helps users discover realistic neighborhood matches based on an 8-factor weighted scoring system.
  • Technical Highlights: Developed pure TypeScript domain engines to calculate city-specific rent caps, handled state persistence and migrations via Zustand, and designed an interactive data analytics dashboard using Recharts.

🤝 Connect With Me

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