Headline

Python Developer & ML Engineer (in-training) | Built Spam Classifier + NLP Chatbot | EE @ Medicaps’27

About

⚡ Electrical Engineering student who found her spark in code. I'm Harshita — a pre-final year B.Tech student at Medicaps University who crossed over from circuits to Python, and never looked back. In the last 6 months, I've gone from writing my first Python script to building: → A Spam Email Classifier using ML (Naive Bayes + TF-IDF text preprocessing) → An AI Chatbot powered by NLP that understands natural language queries. → A real-time API Data Visualisation tool using Matplotlib & Seaborn. → An Automated PDF Report Generator that eliminates manual reporting effort. During my Python internship at Codtech IT Solutions (Jan–Feb 2026), I worked remotely on Python-based projects, practised version control with GitHub, and delivered working solutions end-to-end. What drives me: I believe the most interesting problems sit at the intersection of engineering and data. My EE background gives me a systems-thinking mindset — I approach code the same way I approach circuits: understand the inputs, design the logic, test the outputs. Currently deepening my skills in: 📊 Data Analysis (Pandas, NumPy, Matplotlib) 🤖 Machine Learning (Scikit-learn, model evaluation) 🐍 Python (my primary language) CGPA: 7.1/10 · IEEE Member · Medicaps University '27 📬 Open to internships, projects, and collaborations in Data Science, ML, or Python development. Let's connect — or reach me at Harshitagoud03@gmail.com

Location

Greater Indore Area

Work experience

Python Programming Intern at Codtech IT Solutions Pvt. Ltd., Jan 2026 - Feb 2026 · 2 mos, Indore, Madhya Pradesh, India, • Built 6 end-to-end Python projects in 4 weeks, including a Spam Email Classifier (ML), NLP Chatbot, and Automated PDF Report Generator — all deployed and documented on GitHub. • Developed a real-time API integration and data visualisation tool using Python, Matplotlib, and Seaborn to surface actionable insights from live datasets. • Reduced manual reporting effort by automating PDF generation using Python scripting, demonstrating the ability to deliver production-ready solutions remotely. • Maintained clean, version-controlled code across all projects using Git & GitHub — 6 repositories with full documentation.

Education

Medicaps university

Bachelor's degree, Electrical Engineering, Medicaps university