09/15/2026 updated

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Full Stack Developer & Data Science Intern

Coimbatore, India
Only remote
B.Tech Artificial Intelligence and Data Science (ongoing, 2021-2025)
Coimbatore, India
Only remote
B.Tech Artificial Intelligence and Data Science (ongoing, 2021-2025)

Profile attachments

Akash.k resume.pdf

About me

Full-stack developer specializing in web development, AI/ML, data solutions, and automation. I build practical applications, APIs, dashboards, and AI-powered workflows using modern technologies. I focus on clean implementation, problem-solving, and delivering solutions aligned with business goals.

Data AnalysisEnterprise Application SoftwareData AnalyticsFull Stack Development
Fullstack Development (MERN)
Fullstack development with the MERN stack (MongoDB, Express, React, Node.js), including building web applications with React, integrating databases, implementing search and filter models, map location features, and API integrations for payment gateways and email security.

Data Analytics & Machine Learning
Application of predictive analytics techniques such as regression, clustering, and decision trees to analyze customer behavior, building machine learning models for classification and regression problems, and evaluating model performance metrics such as accuracy, precision, recall, and F1 score.

Python & Data Science
Use of Python and its libraries such as Numpy and Pandas for data gathering, cleaning, exploratory analysis of complex datasets, and translating raw data into meaningful information using statistical techniques.

Data Visualization
Creation of visualizations that enable users to quickly interpret results from complex analyses, using tools such as Python-based libraries and PowerBI.

Figma & UI/UX Design
Design of intuitive user interfaces using Figma, including the creation of blood donation registration forms and other application UIs, with certifications in Mastering Figma: UI/UX Design and UI/UX Design with Figma.

React JS & Frontend Development
Frontend development using React JS and HTML, with practical experience building web applications and certifications in Frontend Developer HTML and React JS from Great Learning.

Cloud Computing
Foundational knowledge in cloud computing, certified through NPTEL.

Selenium & Test Automation
Experience with Selenium projects using Python, certified through Great Learning.

Experience

Professional experience0 - 5 years
Freelancer since2025

Languages

EnglishFluent

Project history

Weather Forecasting Using Machine Learning

Project
Utilized machine learning techniques to enhance nowcasting, improving both the accuracy and speed of weather predictions.

Zyeoa Care Application

Project
Designed a straightforward blood donation registration form with an intuitive UI, created using Figma, to facilitate the registration process for donors.

HomelyHub Web Application

Project
Developed HomelyHub, a comprehensive platform for discovering and booking distinctive accommodations, including cozy homes and luxurious villas. Integrated both frontend and backend functionalities using the MERN stack, enabling personalized travel experiences and offering hosts a way to monetize their properties.

Full Stack Development - MERN Intern

Web Stack Academy
Created a Hotel Booking Website using the MERN stack with a React app and MongoDB database connectivity. Built a search engine model, filter model, and integrated map location. Implemented API integration for payment gateway and email security.

Data Science and Data Analytics Intern

Novi Tech Pvt. Ltd
Gathered, organized, and cleaned data from multiple sources for further analysis. Translated raw data into meaningful information using statistical techniques. Conducted exploratory analysis of complex datasets using Python libraries such as Numpy and Pandas. Built visualizations that enabled users to quickly interpret results from complex analyses.

Data Analysis Intern

Techvolt Pvt. Ltd
Analyzed customer behavior using predictive analytics techniques such as regression, clustering, and decision trees. Built machine learning models for classification and regression problems. Evaluated model performance metrics such as accuracy, precision, recall, and F1 score.

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