What is Nisma Kauser's current focus?

Nisma Kauser is currently in the internship prep stage, preparing for the sde domain.

What has Nisma Kauser shared with the community?

So far, Nisma Kauser has shared 0 contribution(s), including interview experiences and projects. Explore all of Nisma Kauser's contributions on their profile.

Where does Nisma Kauser study?

Nisma Kauser is a student at Integral University, Lucknow, pursuing a B.Tech.

Nisma Kauser

0 PP

ecent B.Tech-CSE(DSAI) (2026, 9.6 CGPA) specializing in Data Science & AI. Seeking an entry-level AI/ML role.

Integral University, Lucknow '26

Patna, Bihar, India

Languages: PythonCCore CS: Data Structures & AlgorithmsOOPDBMSOperating SystemsComputer NetworksDatabases & Visualization: MySQLPower BITableauMachine Learning: Scikit-learnPyTorchCNNYOLOCloud & Tools: AWSGitGitHubCoding Profile: LeetCode and GFG– 200+ problems solvedHackerRank– 5 star SQL

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Primary Education

IUL

Integral University, Lucknow

Computer Science & Engineering • 2026

Education History

IU,L

Integral University , Lucknow

B.Tech in CSE • Sep 2022 - Jul 2026

Experience

EFIS×A

AI Intern

Edunet Foundation, IBM SkillsBuild × AICTE • Nov 2024 - Dec 2024

Edunet Foundation, IBM SkillsBuild × AICTE • Built an ML classifier to predict employee burnout risk from workplace data. • Applied data visualization and feature engineering to improve model accuracy and insights.

AI/ML Project Intern

Infosys Springboard • Feb 2025 - Apr 2025

• Built data pipelines (Python, BeautifulSoup) to scrape and process e-commerce data. • Developed ML models for sentiment analysis and sales forecasting, following SDLC practices end-to-end.

Projects

AI_Assisted_Early_Prediction_and_Severity_Classification_of_KOA

• Built a 5-class (KL Grade 0–4) knee OA severity classifier using an ensemble of EfficientNet-B5, EfficientNet-V2-S, and DenseNet-201 with Grad-CAM explainability. • Built a full-stack system (Flutter frontend, FastAPI backend) with automated PDF report generation for clinical use.

Real-time-Competitor-Strategy-Tracker-for-E-commerce

• Built a real-time tracker that scrapes competitor e-commerce data and turns it into pricing and strategy insights. • Added sentiment analysis and sales forecasting models, and deployed the app on Streamlit Cloud.

Shared Experiences (0)

Nisma Kauser has not shared any experiences yet.