About Me.
Hey there! I'm Krish Bansal, a computer scientist with a knack for innovative solutions. When not debugging code or fueling myself with caffeine, I channel my creativity into music and design.
​
I thrive on challenges, from cracking complex problems to exploring the possibilities of technology. Collaboration is crucial to my success, as I enjoy working with diverse teams to create unique solutions.
​
Let's connect if you share a passion for technology, AI/ML, captivating melodies, and eye-catching design! Check out my portfolio for projects showcasing my technical skills and reflecting my creative endeavors. Together, we can create something extraordinary.

EXPERIENCE.
SAPPI (2024)
Data Science CO-OP
Developed ML forecasting (87% accuracy) using XGBoost, deployed on GCP. Built Tableau dashboards for 50+ users, reducing reporting time by 30%. Automated workflows saving 100+ hours/month. Led 10 Python training sessions.

Khoury College (2023)
Teaching Assistant: CS2500 & CS2510

Supported 60+ students in labs, debugged unfamiliar codebases, and reviewed 100+ assignments weekly. Improved conceptual understanding via personalized guidance.
LENKART (2023)
FRONTEND INTERN
Optimized Shopify pages with lazy loading (-35% load time) for 1M+ visitors. Built React-based product filters for 2,000+ items. Delivered scalable features across 4 Agile sprints, improving navigation and retention.


FUTURESCHOOL.AI (2021)
AI & ML FELLOW
Built a CNN for retinopathy grading (82% accuracy) using TensorFlow, cutting diagnostic error rates by 32%. Enhanced model interpretability with saliency maps, offering clinicians actionable insights.
MAHIMA.MUA (2021)
GRAPHIC DESIGN INTERN
Collaborated with media interns to increase average profile interactions by 74%; Created a website to showcase the artist’s work; Designed the logo and the visiting card. Awarded best performer during the internship.


EATU (2021)
IT & SOFTWARE DEVELOPMENT INTERN
Observed and studied the components of a commercial app under the guidance of a senior developer. I also learned about consumer psychology and its role in creating an effective and valuable product.
PROJECTS.

Featured Project
SPOT SOCIAL
A dynamic social network for fitness enthusiasts. Sign in to post pictures with songs, view feeds, explore profiles, and edit your own details. Display your gym stats, PR records, workout routines, and meal plans. Engage with the community through interactions on posts. Spot Social is your go-to platform for fitness motivation and sharing
ReactJS | Express | Node.js | MongoDB | Spotify API | Google Cloud API

Featured Project
Organize your week with this digital Bullet Journal, an elegant and secure Java application: tracks tasks, events, and progress with aesthetic design and statistical analysis. Enjoy password-protected data storage, customizable templates, and improved productivity.
BULLET JOURNAL
Java | JavaFX | MVC | File Visitors | UI Design | JUnit5

Featured Project
Convolutional Neural Network that predicts diabetic retinopathy grade and identifies Retinal Macular Edema (RME) using retina scans. Trained on the IDRid Dataset, our custom and transfer learning models enable early detection and personalized treatment planning.
Retinopathy PREDICTION
Python | TensorFlow | Keras | Matplotlib | NumPy | Pandas