プロフィール詳細

プロジェクトを作成

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☆☆☆☆☆

Ayush G.に依頼

India

Data Scientist | Computational Biologist | 2x Kaggle Expert

プロフィール概要

I'm a Computational Biologist and Data Scientist with 6+ years of industrial experience in Data Science, Machine Learning, Deep Learning, Reinforcement Learning, and Natural Language Processing. At TCS Research and Innovation, I led projects using Quantitative Systems Pharmacology and Reinforcement Learning to optimize drug dosing, and I've authored multiple publications—including conference posters and journal articles—on topics like drug repurposing and toxicity prediction. My expertise spans deep learning for gene regulation modeling, NLP-driven biomedical text analysis, and advanced machine learning frameworks in Python and Julia. I thrive on translating complex data into actionable healthcare insights and am eager to bring this expertise to your next project.

専門分野

• ★ Computational Biology
• ★ Machine Learning
• ★ Deep Learning
• ☆ Data Analysis
• ☆ Social Network Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Natural Language Processing
• ☆ Artificial Intelligence
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Decision Science
• ☆ Python
• ☆ R

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, General Proofreading & Editing

Research Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights

職務経験

Researcher

TCS Research Lab

9月 2020 - 現在

Data Science Researcher

Elucidata

8月 2019 - 5月 2020

Data Science Intern

Elucidata

5月 2019 - 6月 2019

学歴

M.Tech. (Computational Biology)

Indraprastha Institute of Information Technology Delhi

2018 - 2020

B.Tech. (Information Technology)

Govind Ballabh Pant University of Agriculture and Technology

2014 - 2018

認定資格

• Neural Networks and Deep Learning

  coursera

  https://www.coursera.org/account/accomplishments/verify/A5BKSLSN5A8M

  7月 2021 - 現在

• AI for Medical Diagnosis

  coursera

  https://www.coursera.org/account/accomplishments/verify/2DV6K2VD7KBB

  11月 2020 - 現在

出版物

JOURNAL ARTICLE

Ayush Garg, Hemanth Chenga, Shyam Sundar Das, Narayanan Ramamurthi (2025). Prediction of Drug-Induced Nephrotoxicity Using Chemical Information and Transcriptomics Data . Journal of Chemical Information and Modeling.

Ayush Garg, Narayanan Ramamurthi, Shyam Sundar Das (2025). Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML . Journal of Chemical Information and Modeling.

CONFERENCE PAPER

Ayush Garg, Shyam Sundar Das, Narayanan Ramamurthi (2023). AutoML in Drug Discovery: Side-Effects Prediction Using AutoGluon Framework and Its Applications in Drug Discovery .

Ayush Garg, Shyam Sundar Das, Narayanan Ramamurthi (2023). Drug Target Prioritization Based on Ligand Binding Pocket and Disease-Target Association Scores .