Based in New Delhi, India

Building intelligible
AI for healthier futures.

I’m Mariya Mallick, an AI & ML Research Scholar exploring explainable machine learning for healthcare decision-making.

Mariya Mallick
AI / MLResearcher
INTERPRETABLE
HEALTHCARE AI
9.17CGPA
CSE
Scroll to discover
01 / 07
Explainable AIHealthcare IntelligenceMachine LearningData for GoodExplainable AIHealthcare Intelligence

01 / About

Research with
human context.

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
02Healthcare AI
research projects
09.17CGPA in Computer
Science & Engineering
2027Expected B.Tech
completion

02 / Selected research

Work that asks
better questions.

A research practice centred on model rigor, interpretability, and real-world clinical relevance.

01 — Thesis ResearchHealthcare AI

FEATURED PROJECT

AI-Based Malnutrition
Prediction Model

Developing interpretable models for automated prediction of child underweight, stunting, and wasting from health and demographic data.

Random ForestXGBoostNeural NetworksFeature Importance
95.90%best model
accuracy
0.995 ROC-AUC
02 — Research ProjectPredictive Analytics

COMPARATIVE STUDY

Machine Learning-Based
Diabetes Prediction

A comparison of machine-learning approaches for diabetes prediction, balancing recall, accuracy, and clinical interpretability.

SMOTESHAPXGBoostGradient Boosting
92.1%XGBoost
accuracy
0.94 ROC-AUC
01 / 02

03 / Experience

Learning by
building.

From production-minded systems to optimized neural networks, each role has sharpened how I translate research into practical work.

JUL 2026 — PRESENT

App Development Intern

Infosys Springboard 7.0

Built a Cognizant real-time alarm system, exploring system design, monitoring, and responsive notification mechanisms.

01
JAN — APR 2026

Deep Learning Intern

Uptoskill

Engineered and optimized deep learning models with TensorFlow and PyTorch for image classification and data analysis.

02
JUN — JUL 2025

AI & ML Intern

Edunet Foundation (AICTE & IBM SkillBuild)

Developed end-to-end ML experience through applied data preparation, modeling, and evaluation work.

03

04 / Capabilities

Tools for
discovery.

A considered toolkit for turning complex data into clear, useful intelligence.

01

Languages

Python · Java · C · C++
MATLAB · SQL · HTML

02

ML & Deep Learning

TensorFlow · PyTorch · Keras
Scikit-learn · XGBoost

03

Data & Research

Pandas · NumPy · Matplotlib
Seaborn · Jupyter · Kaggle

04

Interpretability

SHAP · LIME · Feature importance
Model validation · XAI

05 / Education & leadership

A strong
foundation.

2023 — 2027

B.Tech, Computer Science
& Engineering

Jamia Hamdard University
New Delhi, India

CGPA 9.17 / 10

BEYOND THE CLASSROOM

2025 — 26

Vice Chairperson

National Student Data Corps, Jamia Hamdard

2025 — 27

Creative Team Lead

IEEE Jamia Hamdard Student Branch

2024

Active Participant

HackJMI

06 / Credentials

Always
learning.

  • OracleData Science Professional Certification
  • OracleGenerative AI Professional Certification
  • SAPDeveloping AI Models with ML Clients for SAP HANA
  • IBMArtificial Intelligence Fundamentals
  • DeloitteData Analytics Job Simulation

Open to research opportunities

Let’s make
intelligence useful.

mariyamallick176@gmail.com