Ankit Kumar Das

Dynamic Junior Research Fellow from Amity University with a robust background in Machine Learning and Deep Learning. Excelled in developing high-accuracy models and significantly reducing computational times. Proven analytical prowess in NGS data analysis at T-CAG LifeSciences, coupled with effective problem-solving and data visualization skills. Achieved a standout 95% accuracy in a pioneering hand gesture recognition project.

Unsupervised Deep Learning for Mental Health Trend Identification

• Technology used: Python3, Tensorflow, MNE, LSTM, CNN.
• Developed an Unsupervised Deep Learning model that can detect mental health issues by the Time series pattern of EEG data.

Cloud Security Enhancement Through ML Anomaly Detection

• Technology Used : Python3, Tensorflow, Ensemble Learning, Random Forest, KNN
• Developed a Machine Learning Model that can detect the anomaly and provide a way to enhance the security.

Attention-based Deep Learning for Hand Gesture Recognition using Multi-sensor Data

• Technology Used: Python3, Tensorflow, Neural Networks, Multi biosensor.

• Attention-based Deep Learning for Hand Gesture Recognition using Multi-sensor Data.
• AI-Powered Precision: Leveraging Advanced Deep Learning for COVID-19 Pneumonia Detection and Long-Term Respiratory Health Monitoring.
• An evaluative Study on dormancy breakage of dragon fruit seed under different environmental conditions (ISSN: 2456-3315).
• An appraisal of scope and prospect of plant metabolites against covid-19 pandemic (ISSN: 0973-0834).

• Google IT Automation with Python
• Python by Hackerrank
• SQL by Hackerrank
• JAVA by Hackerrank
• Bussiness Analyst