Open to opportunities

Nikitha R

@nikithar

Message

I’m a full-stack engineer building ML-driven web apps and data-driven solutions.

India

Message

What I'm looking for

I’m seeking an entry-level full‑stack or ML engineering role where I can build scalable web apps, deploy models, and drive data-informed product decisions within a collaborative, growth-oriented team emphasizing CI/CD and cloud-native practices.

I graduated in Information Science and honed my skills through internships where I applied data science and full‑stack engineering to deliver measurable results: at BEL I led end‑to‑end attrition analysis that informed HR retention strategy and reduced potential turnover risks by 20%, and at UnlockDiscounts I built a scalable MERN platform with web‑scraping pipelines, CI/CD, Docker, Kubernetes and Vercel deployments.

I build production‑ready systems and ML models—ResNet‑152 diabetic retinopathy detection with 94% accuracy, a Streamlit financial news analysis tool using LangChain/OpenAI/FAISS, and a full‑stack social media app with authentication and REST APIs—while contributing in hackathons and volunteer initiatives that emphasize impact and collaboration.

Experience

Work history, roles, and key accomplishments

Full Stack Intern

UnlockDiscounts

Mar 2025 - Aug 2025 (5 months)

Developed and maintained a scalable discount-aggregation platform using the MERN stack and implemented Python web-scraping pipelines (BeautifulSoup, Scrapy) to fetch verified deals from multiple e-commerce sources. Automated CI/CD with GitHub Actions, containerized services with Docker, and deployed on Kubernetes and Vercel to ensure high availability and performance.

JavaScript MongoDB Python BeautifulSoup Scrapy Docker Kubernetes

Software Engineer Intern

Bharat Electronics Limited

Apr 2024 - Jun 2024 (2 months)

Performed end-to-end attrition analysis on the IBM Employee Dataset, identifying key drivers of turnover and delivering insights that reduced potential turnover risk by 20%. Built and optimized a Decision Tree classifier using Python, Pandas, scikit-learn and Matplotlib, improving prediction accuracy by 30% through hyperparameter tuning and cross-validation.

Python Pandas scikit learn Decision Trees data preprocessing Matplotlib Hyperparameter Tuning

Education

Degrees, certifications, and relevant coursework

M. S. Ramaiah Institute of Technology

Bachelor of Engineering, Information Science

2021 - 2025

Grade: 8.6

Activities and societies: Participated in national and institute-level hackathons (Byte Synergy, Codeathon, Ideathon); volunteered at Smart India Hackathon 2023 on a blood-donation app (improved availability by 20%); NSS student volunteer at RIT (2021–2023), leading community initiatives impacting 500+ people.

Bachelor of Engineering in Information Science at M. S. Ramaiah Institute of Technology (Bangalore) from 2021 to 2025 with a CGPA of 8.6.