FEATURED PROJECT
AI-Based Malnutrition
Prediction Model
Developing interpretable models for automated prediction of child underweight, stunting, and wasting from health and demographic data.
accuracy0.995 ROC-AUC
Based in New Delhi, India
I’m Mariya Mallick, an AI & ML Research Scholar exploring explainable machine learning for healthcare decision-making.

01 / About
I am a Computer Science & Engineering student at Jamia Hamdard University, where I investigate how accurate predictive models can remain transparent and useful for the people who rely on them.
My current thesis focuses on machine-learning approaches to malnutrition prediction, bringing together careful data preparation, comparative modeling, and interpretable AI.
More about my journey ↘02 / Selected research
A research practice centred on model rigor, interpretability, and real-world clinical relevance.
03 / Experience
From production-minded systems to optimized neural networks, each role has sharpened how I translate research into practical work.
Infosys Springboard 7.0
Built a Cognizant real-time alarm system, exploring system design, monitoring, and responsive notification mechanisms.
01Uptoskill
Engineered and optimized deep learning models with TensorFlow and PyTorch for image classification and data analysis.
02Edunet Foundation (AICTE & IBM SkillBuild)
Developed end-to-end ML experience through applied data preparation, modeling, and evaluation work.
0304 / Capabilities
A considered toolkit for turning complex data into clear, useful intelligence.
Python · Java · C · C++
MATLAB · SQL · HTML
TensorFlow · PyTorch · Keras
Scikit-learn · XGBoost
Pandas · NumPy · Matplotlib
Seaborn · Jupyter · Kaggle
SHAP · LIME · Feature importance
Model validation · XAI
05 / Education & leadership
2023 — 2027
Jamia Hamdard University
New Delhi, India
BEYOND THE CLASSROOM
National Student Data Corps, Jamia Hamdard
IEEE Jamia Hamdard Student Branch
HackJMI
06 / Credentials