Machine Learning React Js

ANAND PRABHAT

**************@*****.*** +917*********

linkedin.com/in/anandprabhat2171 github.com/anandprabhat15

TECHNICAL SKILLS

Data Structures & Algorithms, Computer Networks, AI, NLP, Operating Systems, DBMS, Docker

Languages: C++, Java, HTML, CSS, JavaScript, NOSQL

Tools & Technologies: React.js, SQL, Power BI, Tableau, AWS, API, IOT

Key Skills: AI & Machine Learning, Predictive Analytics, Real-Time Data Processing, Data Visualization Tools,

Business Data Analytics, Business Intelligence, Problem Solving, Analytical Thinking.

EXPERIENCE

Software Development Engineer (SDE) Intern IndiaMART, Noida

• Worked on 6 major projects including e-commerce platform features and internal dashboard tools, using

React.js, Css, in an Agile environment.

• Optimized Front-End codebase, reducing page load time by 20% & enhanced user experience.

Web Developer, ANOKHA NGO

• Integrated the Razorpay Payment Gateway to streamline and automate donation transactions by implementing

secure API calls, handling webhooks for transaction status updates, and ensuring seamless payment processing

through backend integration and error handling mechanisms.

" CAT-A-THON " HACKATHON SEMI-FINALIST - Developed a machine learning-powered application that analyzes

real-time sensor data from machines, continuously computing and predicting POTENTIAL MALFUCNTONS

EDUCATION

Vellore Institute of Technology, CSE with specialization in Data Science 2021 – 2025

• CGPA: 8.72

The Pentecostal Assembly School, Bokaro Steel City, Jharkhand

12 th : 95 % 2020

10 th : 92.4 % 2018

PROJECTS

CAPTAIN - Generative AI SOURCE CODE

• Tech Stack: React.js, JavaScript, HTML5, CSS3, Google Gemini API, RESTful APIs, NLP

• Engineered a high-performance AI chatbot achieving <1.5-second response times and 95% query accuracy using

Google’s NLP models, optimizing API payloads for reduced latency.

• Designed context-aware dialogue flows with session history caching, improving user retention by 5% and

enabling multi-turn conversational analysis.

• Built a responsive UI/UX with dynamic Markdown rendering, syntax highlighting, and cross-browser

compatibility, reducing onboarding friction by 7% with Agile development practices.

LIVE WEATHER APP SOURCE CODE

• Developed a responsive Live Weather website using HTML, CSS, and JavaScript, integrated with the

OpenWeatherMap API to fetch real-time weather data for any location.

• Implemented features such as dynamic weather displays, temperature conversion (Celsius/Fahrenheit), and live

search functionality. Designed a user-friendly interface for seamless interaction and optimized API calls for

efficient data retrieval and reduced latency. Incorporated error handling for invalid locations and ensured

cross-browser compatibility for consistent performance.

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