Mehak Jena
@mehakjena
I build AI-driven healthcare and analytics solutions using machine learning, deep learning, and bioinformatics.
IndiaWhat I'm looking for
I've built AI-driven healthcare and IoT solutions through the AI and IoT Automation Lab, including NeuroKey, a Parkinson’s disease detection system using passive keystroke dynamics that achieved 88% classification accuracy and a 0.75 R² score for motor severity prediction.
At The Simple, I conducted market research, structured web datasets, and delivered industry intelligence to support strategic decisions. My published research spans smart-city health analytics, drug repurposing, Parkinson’s monitoring, medical imaging, mental health, crop disease detection, and IoT threat detection, using Python, TensorFlow, XGBoost, GATs, and Transformers.
Experience
Work history, roles, and key accomplishments
Analyst Intern
The Simple
Jan 2026 - Jul 2026 (6 months)
Conducted market and industry research, collected and structured web data, performed data cleaning and analysis using Excel, and developed market intelligence reports to support strategic decision-making.
Student Research Intern
AI and IoT Automation Lab
May 2023 - May 2026 (3 years)
Built AI/ML and deep learning pipelines for healthcare and IoT analytics using Python, TensorFlow, XGBoost, GATs, and Transformers, focusing on predictive modeling and anomaly detection.
Summer Intern
Jamia Hamdard
May 2025 - Jun 2025 (1 month)
Developed NeuroKey, an AI-based Parkinson's disease detection system using keystroke dynamics and LSTM models, achieving 88% classification accuracy and 0.75 R² score for motor severity prediction.
Education
Degrees, certifications, and relevant coursework
Amity University
Bachelor of Technology, Bioinformatics
2022 -
Grade: 8.85/10
Pursuing a Bachelor of Technology in Bioinformatics with a focus on AI and computational biology. Achieved a CGPA of 8.85/10.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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