Roles @ LPBI
Implement Wolfram NLP on 13 articles in Cardiovascular disease the Role of Calcium in Cardiac Function. Completion of Proof-of-Concept

Areas of Interest and Selection of Research Categories
1. Artificial Intelligence Applications in Health Care
2. Artificial Intelligence in Medicine – Application for Diagnosis
3. Deep Learning in Pathology
4. Machine Learning
5. Machine learning in predicting type 2 diabetes
6. Drug Discovery Chemistry
7. Artificial intelligence applications for cardiology
8. Scientific Publishing
9. big data analytics
10. data science
11. Natural Language Processing (NLP)
12. vision
Yash Choudhary
+91 7354490145 | yashch664422@gmail.com | linkedin.com/in/yash | github.com/yash
Education
Indian Institute of Technology Kanpur Kanpur (U.P.), India
Bachelor of Technology in Material Science and Engineering,
Aug. 2019 – May 2023 (expected)
Sardana public school. Dewas (M.P.), India
Higher Secondary
May. 2016 – March 2018
Projects
Neuromatch Academy Summer School 2020 | Human Connectome Project dataset. May 2020
- Worked in a team of 3, Hypothesize that brain activity during different language task (Story comprehension and arithmetic calculation) has distinct differentiating characteristics.
- Verified our hypothesis by using popular machine learning techniques to classify fMRI data into two categories .
- Used t-SNE and PCA for dimensionality reduction.
- Compared accuracy for 3 different models:- Linear regression , Linear discrimination analysis and Linear support vector classifier and achieved accuracy of 90%.
- Analyzed the weights of successful models to understand these characteristic differences.
Relevant courses
MTH101 (Real Analysis and multivariable calculus). MTH 102 (Linear algebra and Differential equation).
ESC101 (Fundamentals of C programming). MSO203 (Partial differential equations).
ESC101 (Fundamentals of C programming). MSO203 (Partial differential equations).
PHY102 (Mechanics). PHY103 (Electrodynamics).
ESC101 (Fundamentals of C programming). MSO203 (Partial differential equations).
Technical Skills
Machine learning (basics). | Deep learning (basics). | Python | C language |
C++ | HTML | CSS | AutoCAD |
Numpy | Pandas | Scikit-learn |
Interests
1) Deep learning in NLP and CV.
2) Bayesian Methods for probabilistic inference.
3) Competitive programming.
4) Neuroscience.