
Nisma Kauser
@nismakauser
I build practical AI and machine learning applications from data pipelines to full-stack systems.
What I'm looking for
I'm a Computer Science and Engineering graduate specializing in Data Science and AI, building practical AI/ML systems with Python, machine learning, NLP, and generative AI.
During internships with EtrainIndia, Infosys Springboard, and Edunet Foundation, I applied data science workflows to real datasets, built e-commerce scraping pipelines, developed sentiment-analysis and sales-forecasting models, and created an employee-burnout risk classifier.
For my final-year project, I built a five-class knee osteoarthritis severity classifier using EfficientNet, DenseNet, PyTorch, CNNs, YOLO, and Grad-CAM. I also developed a full-stack clinical system with a Flutter frontend, FastAPI backend, and automated PDF report generation.
I've also built a real-time collaborative text editor with FastAPI, WebSockets, and React, plus a multilingual Farmer Voice Assistant designed for low-literacy rural users. I'm seeking an entry-level AI/ML or software engineering role where I can apply these projects to real-world engineering challenges.
Experience
Work history, roles, and key accomplishments
Data Science Intern
EtrainIndia
Jun 2025 - Jul 2025 (1 month)
Completed IBM's Python for Data Science certification program with hands-on data analysis exercises. Applied Python and data science workflows to real datasets, strengthening core data science fundamentals.
ML Project Intern
Infosys Springboard
Feb 2025 - Apr 2025 (2 months)
Built data pipelines using Python and BeautifulSoup to scrape and process e-commerce data. Developed machine learning models for sentiment analysis and sales forecasting, following SDLC practices end-to-end.
AI Intern
Edunet Foundation
Nov 2024 - Dec 2024 (1 month)
Built a machine learning classifier to predict employee burnout risk from workplace data. Applied data visualization and feature engineering to improve model accuracy and insights.
Education
Degrees, certifications, and relevant coursework
Udacity
Generative AI with AWS, Generative AI
Completed Generative AI with AWS course.
GDGC, Integral University
GenAI Study Jam, Generative AI
2023 - 2024
Participated in a 30-day GenAI program and earned Top 80 recognition.
Led By Foundation
Led By Accelerator, Leadership
Completed the Led By Accelerator program.
SheFi
SheFi Scholar, Finance
Selected as a SheFi Scholar.
McKinsey & Company
Forward Program, Business
Completed the McKinsey Forward Program.
Integral University
Bachelor of Technology, Computer Science
Grade: 9.60 CGPA
Bachelor of Technology in Computer Science with specialization in Data Science and AI with IBM, graduating in 2026 with a CGPA of 9.60.
EtrainIndia
Python for Data Science, Data Science
Completed IBM's Python for Data Science certification program with hands-on data analysis exercises.
Infosys Springboard
ML Project Intern, Machine Learning
Built data pipelines and developed ML models for sentiment analysis and sales forecasting as an ML Project Intern.
Edunet Foundation
AI Intern, Artificial Intelligence
Built an ML classifier to predict employee burnout risk from workplace data as an AI Intern.
ISRO
AI/ML Course, Artificial Intelligence
Completed an AI/ML course offered by ISRO.
IIT BHU
Data Analytics in Python, Data Analytics
Grade: A++
Completed Data Analytics in Python course with grade A++.
IBM
AI Analyst, Artificial Intelligence
Completed certifications in AI Analyst, Python for Data Science, and Data Science & Artificial Intelligence.
AWS Educate
ML Foundations, Machine Learning
Completed Machine Learning Foundations course.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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