Member profile
S

Sanchita devgekar

Student
fresher
0 connections
1 points · Newcomer
1 day streak
Getting started
Free / Basic
Belgaum, Karnataka

Headline

MCA Graduate Aspiring IT Professional Data Analytics, Salesforce & Software Development

About

I am an MCA graduate with a strong interest in technology, data analytics, and software solutions. I have hands-on experience with Python, SQL, Power BI, Tableau, Java, Salesforce, and machine learning through academic projects, internships, and practical learning. During my MCA, I worked on projects including an LLM-based EV Troubleshooting Assistant, which uses AI, RAG, and NLP to provide diagnostic support for electric vehicle technicians, and a Facial Expression Detection and Recommendation System using Python, OpenCV, and TensorFlow. These projects helped me strengthen my problem-solving, analytical, and programming skills. I have also completed internships and training in AI/ML, full-stack development, and Salesforce, giving me exposure to both technical and business-oriented applications. Along with technical skills, I have developed strong communication, teamwork, presentation, and organizational skills through academic activities, hackathons, and event coordination. As a fresher, I am looking for an opportunity where I can apply my skills, learn from experienced professionals, and contribute to meaningful projects while continuously developing my technical and professional abilities.

Experience

data science

visionastra

2026-02-12 – 2026-04-18

Developed an AI-powered LLM diagnostic assistant for EV technicians that uses RAG, LangGraph, and vector search to provide context-aware troubleshooting guidance from EV repair manuals. The system reduces the need for manual document searching, delivers faster access to relevant diagnostic information, and supports technicians in identifying possible faults and repair steps. It also includes vehicle-specific inputs, battery health assessment, emergency safety guidance, and automated diagnostic report generation, making EV troubleshooting more accessible, structured, and efficient.

Read more

Education

MCA

KLS Gogte Institute of Technology

Computer Application · 2024 – 2026 · 7.5

BCA

KLE Society's College of BCA, RLSI

Computer Application · 2020 – 2023 · 7.32

Projects

LLM Diagnostic for EV Assistance

Developed an AI-powered LLM diagnostic assistant for EV technicians that uses RAG, LangGraph, and vector search to provide context-aware troubleshooting guidance from EV repair manuals. The system reduces the need for manual document searching, delivers faster access to relevant diagnostic information, and supports technicians in identifying possible faults and repair steps. It also includes vehicle-specific inputs, battery health assessment, emergency safety guidance, and automated diagnostic report generation, making EV troubleshooting more accessible, structured, and efficient.

View details

Certifications

Data Science in AI ML

VissionAstra

2026-02-02

PHp Full Stack

Zeel code labs

2024-04-01

Powered by Digiprofile