Reeka harshgupta257

✦ HARSH GUPTA ✦

`Software Application Developer · Data & ML Engineer · NLP Enthusiast`

Note

Engineering at the intersection of AI, NLP, and Data Automation.
B.Tech Computer Science student @ AKGEC (2023–2027), building production-ready web apps, custom NLP intent classifiers, and scalable data pipelines.

⚡ Quick Overview

const developer = {
  name: "Harsh Gupta",
  location: "Ghaziabad, India",
  education: "B.Tech CSE @ Ajay Kumar Garg Engineering College (2023–2027)",
  currentRole: "Data Analytics Intern @ Pratinik Infotech",
  coreFocus: ["Python Application Dev", "NLP Pipelines", "Machine Learning", "REST APIs"],
  community: ["GSSoC '24 Contributor", "Buildspace S5 Cohort", "Ex-Head of HR @ Apna IPU Wallah"],
  status: "Solving Algorithmic Problems & Building Full-Stack AI Products"
};

🛠️ Tech Stack & Arsenal

💻 Languages & Fundamentals

🤖 Machine Learning, Data & NLP

⚙️ Frameworks, Databases & Infrastructure

🚀 Featured Projects

🔍 Smart Resume Analyzer

Full-stack AI web application analyzing PDF resumes against job descriptions with NLP.

FastAPI Backend: Custom /analyze endpoint with pdfplumber parsing & NLTK n-gram stopword filtering against 200+ skill dictionary.
Algorithm: 70% Jaccard skill similarity + 30% keyword overlap scoring with real-time feedback.
Frontend: Animated SVG score rings, dark glassmorphic UI, deployed on GitHub Pages & Render.

🌐 Live Demo | 💻 GitHub Code

FastAPI Python NLP NLTK Vanilla JS

🤖 Telegram NLP Task Bot (v1 & v2)

Production Telegram bot with custom intent classification & automated scheduling.

spaCy NLP: Intent parsing for natural commands (e.g. "remind me tomorrow at 8am").
Automation: APScheduler + SQLite engine with full state recovery upon VPS reboot.
v2 Enhancements: High intent accuracy, structured conversation flows, rich task management.

📦 v2 Repository | 📦 v1 Repository

Python spaCy APScheduler SQLite Linux VPS

📊 End-to-End Data Science & Machine Learning Pipelines

Comprehensive ML pipelines covering Exploratory Data Analysis, Feature Engineering, and Predictive Modeling.

Built robust predictive modeling workflows across Regression & Classification tasks using scikit-learn.
Implemented cross-validation, hyperparameter tuning, and performance metrics (RMSE, F1-score, ROC-AUC).
Produced publication-quality data visualisations with Matplotlib and Seaborn for data storytelling.

Python Pandas scikit-learn Matplotlib Seaborn

💼 Work Experience & Leadership

Role	Organization / Initiative	Focus Area	Period
📈 Data Analytics Intern	Pratinik Infotech	Building Social Media Analytics Web App, ETL Pipelines & KPI Dashboards	Jul 2026 – Sep 2026
👥 Head of Human Resources	Apna IPU Wallah	Talent Acquisition, Team Coordination & Cross-Functional Operations	2024 – 2025
🌐 Open Source Contributor	GirlScript Summer of Code	Resolving Issues, Code Reviews & Feature Additions in Python Repos	2024
🚀 Global Cohort Member	Buildspace S5	Rapid Prototyping & Shipping AI Projects within Sprint Timelines	2024

📜 Professional Certifications

Tip

Continuous Learning & Skill Validation

🎓 Machine Learning A–Z — Udemy (Hands-on Python & R)
🐍 Python for Data Science & Machine Learning Bootcamp — Udemy
⚙️ Automate the Boring Stuff with Python — Udemy
📊 Data Analysis with Pandas & Python — Udemy

🔥 Problem Solving & LeetCode

Important

Daily Commitment: Actively solving Data Structures & Algorithms challenges daily on LeetCode. Consistency beats intensity!

“Simplicity is prerequisite for reliability.” — Edsger W. Dijkstra

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