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Tavishi Kashyap

B.Tech CSE Student | Full-Stack & Machine Learning Developer skilled in React.js, Node.js, and Python

Bachelor of Technology (B.Tech), Computer Science & Engineering, IKGPTU Main Campus, Kapurthala · 2027KapurthalaAvailable within 1 monthOpen to opportunities

3

Tasks completed

8.0/10

Average score

0

Certificates

1

Badges

3

Internships & jobs

About

I am a Computer Science Engineering student and Full-Stack & Machine Learning Developer. I have experience building end-to-end platforms with FastAPI, Node.js, and React.js, as well as developing ML models for classification and NLP tasks. I am passionate about creating efficient, user-friendly applications and continuously improving my DSA skills.

Skills

CC++JavaPythonReact.jsNext.jsTailwind CSSFramer MotionLucide ReactNode.jsExpress.jsFastAPIMongoDBPostgreSQLSupabaseJWTbcryptScikit-learnLogistic RegressionRandom ForestNaive BayesKNNSVMLinear RegressionNLPGitGitHubVS CodePostmanREST APIs

Badges

Skill badgesEarned when companies on HireSol score the student's work 7+/10. Bronze: one such score. Silver: 2+ companies, average 7.5+. Gold: 3+ companies, average 8.5+.

Web Development· Bronze

Experience

  1. student · netmax

    Jun 2025 – Jul 2025

    Work experience · chandigarh

    - Python for Machine Learning — programming fundamentals and working with data. - Machine Learning fundamentals — supervised and unsupervised learning. - ML algorithms — Linear Regression, Logistic Regression, Decision Trees, Random Forest, Naive Bayes, KNN, and SVM. - Data preprocessing — cleaning data, handling missing values, and preparing datasets. - Exploratory Data Analysis (EDA) — understanding datasets and identifying patterns. - Model training and evaluation — training models and evaluating their performance using metrics such as accuracy. - Scikit-learn — implementing machine learning algorithms in Python.

    ReactPythonJavaSQLNode.jsTypeScriptLink

  2. Front-End Development Intern · Agency Landing Page

    Internship

    Implemented responsive, modern web pages using React.js and Tailwind CSS, translating design requirements into production-ready interfaces.

  3. Front-End Development Intern · Next-Gen Learning Dashboard

    Internship

    Developed responsive, reusable UI components in React.js and integrated Supabase for real-time application data handling, improving overall user experience.

Projects

Student Management System

Built CRUD-based backend APIs for managing student records with MongoDB integration, request validation and endpoint testing via Postman.

Fake News Detection

Developed an NLP-based text classification model for detecting fake news and connected it to a full-stack backend with MongoDB for storing and serving predictions.

Customer Churn Prediction

Built and evaluated multiple classification models (Logistic Regression, Random Forest) to predict customer churn, achieving 80.12% accuracy; deployed as an interactive web app.

QueueLess — Intelligent Hospital Queue & Patient Flow System

Building an end-to-end hospital queue management platform covering patient registration, token generation, priority-based queue handling and real-time status updates to reduce patient wait times.

Education

  • IKGPTU Main Campus, Kapurthala

    Bachelor of Technology (B.Tech), Computer Science & Engineering

    2023 – 2027 · 8.9 / 10 (89.1%)

Certifications & achievements

  1. LeetCode Problem Solving · LeetCode

    Present

    Achievement / award

    Solved 40+ Data Structures and Algorithms problems on LeetCode; actively practicing DSA for software engineering placements.

  2. AI & Machine Learning Workshops · GeeksforGeeks

    Certification

    Participated in AI & Machine Learning workshops.

  3. 45-Day Machine Learning Training · Netmax Pvt. Ltd., Chandigarh

    Certification

    Completed a 45-Day Machine Learning Training program.

  4. Academic Excellence

    Achievement / award

    Maintained an academic score of 8.9/10 CGPA (89.1%) throughout B.Tech CSE.