Anchal Patel

Computer Science undergraduate · Aspiring Software Engineer / AI-ML Developer

Lucknow, Uttar Pradesh, India

@anchal_patel

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🎓 B.Tech in Computer Science & Engineering at Babu Banarasi Das University (BBDU) · Graduating 2028

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About

Computer Science & Engineering undergraduate with hands-on experience in machine learning, full-stack development, and REST API development. Has built and deployed AI/ML and web applications using modern Python, backend, frontend, and database tools.

Experience

Full Stack Development Intern

CodeOrbit Tech

Sep 2026 – Present

Selected for a 1.5-month internship focused on practical full-stack development, software engineering tasks and hands-on project work. Applying frontend, backend, debugging and problem-solving skills while working in a practical development environment.
Machine Learning Intern

CodSoft

Aug 2026 – Present

Completed a 4-week project-based Machine Learning internship covering classification, NLP, fraud detection and deep-learning tasks. Applied Python, data preprocessing, feature engineering, model training and evaluation to practical machine learning problems.

Education

B.Tech

Babu Banarasi Das University (BBDU)

Computer Science · Jun 2028

Skills

<3 months

SQL Oop Java Shap NumPy React Flask Python Pandas Tf-Idf FastAPI Streamlit JavaScript Matplotlib SQLAlchemy scikit-learn Advanced DBMS Machine Learning Model Evaluation Computer Networks Operating Systems Feature Engineering Natural Language Processing API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

<3 months

Git Vite MySQL GitHub SQLite MongoDB Postman VS Code PostgreSQL

Projects

FraudGuard AI & SpamShield AI — ML Classification Applications ↗

Python, Scikit-learn, NLP, TF-IDF, SVM, Streamlit

Built applications for credit-card fraud detection and spam SMS classification using preprocessing, imbalanced-data handling, TF-IDF and supervised classification. Developed interactive Streamlit interfaces to present predictions and model insights.
LifeLink AI — AI-Powered Health Risk Prediction ↗

Python, Scikit-learn, Pandas, NumPy, Streamlit, SHAP

Developed a Random Forest risk-prediction application with preprocessing, feature scaling, analytics and explainable-AI views. Evaluated the model at approximately 95% accuracy and deployed the application through Streamlit for real-time web-based prediction.
OreSight AI — AI & Satellite Intelligence for Manganese Exploration

Python, FastAPI, React, Vite, Scikit-learn, SQLAlchemy, SQLite, JWT

Developed an end-to-end intelligence platform combining mineral prospectivity, production forecasting, equipment risk and satellite-related insights. Built FastAPI REST APIs with JWT authentication, role-based access, alerts, prediction history and SQLAlchemy/SQLite persistence.

Courses & certifications

Google Gemini QuizOff 2026 · Unstop · 2026
Node JS Certificate of Completion · Unstop · 2026
MongoDB Schema Design Patterns and Anti-patterns Skill Badge · MongoDB · 2026
Machine Learning Internship · CodSoft · 2026
MongoDB Basics for Students · MongoDB

⚽ Extracurricular activities

Participant

Myntra WeForShe HackerRamp 2026; Adobe University Hackathon 2026; Techclasher Hackathon 2025; CodeForge 2025

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