N S Sandhya
B.Tech Computer Science Engineer skilled in Python, Flask, and Machine Learning
2
Tasks completed
–
Average score
0
Certificates
6
Badges
2
Internships & jobs
About
I am a B.Tech Computer Science Engineering fresher (2026) with hands-on internship experience in full-stack web development, data science, and artificial intelligence. I am proficient in Python, Java, Flask, REST APIs, and Machine Learning, and have built an AI-powered multimodal healthcare application using LLM and Groq API. I am seeking a Software Developer or Junior Software Engineer role to contribute to scalable, real-world applications.
Skills
Badges
Skill testsTimed HireSol skill tests. Gold: 90%+, Silver: 75%+, Bronze: 60%+.
Experience
Data Science Intern · Internship Studio
Feb 2025 – Mar 2025
Internship
Selected for the program by clearing the Common Internship Test (CIT) from a competitive applicant pool. Performed data cleaning and exploratory data analysis on a real-world COVID-19 dataset (57,000+ records) using Python and Pandas. Created visualizations using Matplotlib and Seaborn to identify patterns across continents. Built a supervised machine learning model.
Full Stack Development Intern · Samagra Technologies
Oct 2023 – Jan 2024
Internship
Developed a full-stack web application using HTML, CSS, JavaScript, and Python (Flask), handling frontend-to-backend integration. Built and consumed REST APIs; designed and managed MySQL databases for dynamic data-driven web apps. Implemented responsive UI designs, improving cross-device compatibility and user experience.
Projects
Car Price Prediction
Built a Linear Regression model to predict car selling prices using features like brand, mileage, engine, and fuel type, after extracting and encoding them from raw data. Cleaned the dataset, performed feature engineering, and saved the model using Pickle.
Loan Approval Prediction
Built a Logistic Regression model to predict loan approval status based on applicant demographics and financial details, encoding categorical features into numerical format. Evaluated model performance on test data using a confusion matrix.
CheckUp AI — Multimodal Healthcare Assistant
Built an AI healthcare assistant that takes voice-described symptoms and a medical image as input, and returns spoken medical guidance using a multimodal LLM. Used Groq's Whisper model for speech-to-text, LLaMA-4 Scout Vision for image and text analysis, and gTTS/ElevenLabs for text-to-speech, with a Gradio interface tying the pipeline together.
Education
Srinivas Institute of Technology
B.Tech, Computer Science Engineering
2022 – 2026
H B PU College, Nellikeri, Kumta
Class XII, Science
2020 – 2022
Dinakar School, Dhareshwar
Class X
2019 – 2020
Certifications & achievements
Microsoft Azure Cloud Computing Training · Edufyi
Feb 2026 – Mar 2026
Certification
Completed structured training covering Azure Virtual Machines, Storage, SQL Database, Networking, and Security. Studied N-Tier Architecture, Network Security Groups, Load Balancer, IAM, and IaaS/PaaS deployment models.