PRANAMYA V RAO

AI/ML Engineer | Full-Stack Developer

Mangalore, IN.

About

Highly motivated B.E. graduate in Artificial Intelligence & Machine Learning (9.05 CGPA) with proven hands-on experience in developing scalable MERN stack applications and intelligent AI systems. Successfully delivered full-stack solutions and machine learning models, including an NLP-driven SQL automation platform and an interior design MERN application. Eager to apply strong problem-solving skills and a passion for combining web technologies with AI to drive innovative solutions in a dynamic tech environment.

Work

Codsoft

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Machine Learning Intern

Remote, Karnataka, India

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Summary

Engaged in machine learning model development and data analysis to support various AI-driven projects.

Highlights

Participated in the design and implementation of machine learning algorithms, contributing to predictive model accuracy.

Assisted in data preprocessing and feature engineering tasks to prepare datasets for model training and evaluation.

Gained practical experience in applying ML techniques to real-world problems, enhancing analytical capabilities.

Samagra Technology

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Web Development Intern

Mangalore, Karnataka, India

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Summary

Contributed to web application development, focusing on front-end and back-end functionalities to enhance user experience.

Highlights

Contributed to the development of web applications, implementing front-end interfaces and back-end logic to improve system functionality.

Collaborated with the development team to troubleshoot and resolve technical issues, ensuring seamless application performance.

Utilized modern web technologies to optimize application responsiveness and user interaction, enhancing overall user experience.

Education

Srinivas Institute of Technology

Mangalore, Karnataka, India
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Bachelor of Engineering Artificial Intelligence and Machine Learning Grade: 9.05 CGPA

Govinda Dasa Pre-University College

Mangalore, Karnataka, India
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Class XII PCMS Grade: 86%

NITK English Medium School

Mangalore, Karnataka, India
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Class X General Studies Grade: 82.2%

Awards

1st Place, Final Year Project Exhibition

Srinivas Institute of Technology

Secured first place in the Final Year Project Exhibition for outstanding innovation and technical execution, demonstrating exceptional problem-solving and presentation skills in a competitive academic setting.

KSCST Funding Recipient

Karnataka State Council for Science and Technology (KSCST)

Received competitive KSCST funding for the innovative project 'Natural Language Driven SQL Query Automation Platform' under the 48th Series Student Project Programme, recognizing its research merit and potential impact.

Languages

English

Kannada

Hindi

Skills

Programming Languages

Python, JavaScript, PHP, HTML, CSS, SQL.

Frameworks & Libraries

React.js, Express.js, Node.js, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, NLP Libraries, Deep Learning Models.

Databases & Tools

MongoDB, MySQL, Power BI, Excel, Tableau.

Data Analysis

Data Cleaning, Data Visualization, Exploratory Data Analysis (EDA), Statistical Analysis.

Web Development

MERN Stack, Full-stack Development, Responsive Design, CRUD Operations, User Authentication.

Artificial Intelligence & Machine Learning

Natural Language Processing (NLP), Deep Learning, Recommendation Systems, Model Training, Data Preprocessing, Algorithm Development.

Projects

GharVibes – Interior Design Platform

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Summary

Developed a full-stack MERN application facilitating interior design exploration, saving, sharing, and client-designer communication.

Natural Language to SQL Automation Platform

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Summary

Created an innovative system that translates natural language user prompts into complex SQL queries using advanced NLP and deep learning.

Movie Recommendation System

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Summary

Built an intelligent movie recommendation engine utilizing both collaborative and content-based filtering techniques.

Event Management System

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Summary

Developed a comprehensive full-stack web application for event and user management, featuring secure authentication and robust CRUD operations.