Hello!
I am Isha, a Machine Learning enthusiast interested in interdisciplinary applications.
Successfully defended Master's thesis on April 21, 2023.
View My Resume
I am a computer science professional, specialized in interdisciplinary applications of Artificial Intelligence. I enjoy integrating methods from diverse domains to solve complex problems and working in a collaborative environment with people from diverse backgrounds.
I excel at working independently and driving projects from defining problem statements to delivering impactful solutions. This includes domain understanding, data visualization, developing prediction models, and investigating causality to identify improvements.
Currently, I am actively seeking full-time opportunities in data science, particularly in roles which involve identifying business opportunities and utilizing machine learning and statistics to drive the organization forward. If you are looking for a dedicated and driven data scientist or machine learning engineer with a passion for problem-solving and a strong foundation in AI, I would be thrilled to connect with you.
- Machine Learning
- Natural Language Processing
- Business Analytics
- Multivariate Data Analysis
- Cyber Data Analytics
- Bioinformatics
- Python, R
- PyTorch, Keras, Tensorflow
- Google Cloud Platform, Slurm
- SQL
- R
- C
- MATLAB
Isha Agrawal, Teena Sharma, Nishchal K. Verma
Teena Sharma, Isha Agrawal, Nishchal K. Verma
Teena Sharma, Isha Agrawal, Nishchal K. Verma
Proposed a language model to embed DNA sequences and microbial communities. Used cosine similarity to find biomarkers closely associated with the diseases. Other steps include data cleaning and cluster analysis to detect batch effects.
Developed equations, algorithms, convolutional neural network architecture to denoise images based on image analysis. Outperformed satte-of-the-art in runtime and PSNR.
Trained a stacked LSTM architecture on three years of Fortune 500 data. Predicted HIGH, LOW, OPEN, CLOSE, and WAP indices of three unseen companies with a Mean Average Error of ~2.88.
Developed a database to digitize ordering and billing system in all cafeterias in the Institute. Used SQL, Bootstrap, HTML, CSS, PHP, and SSH keys.
Classying disease-risk genes using Suport Vector Machines and Decision Trees
An Android app to facilitate learning among dyslexics
Developing deep learning architectures for smoke segmentation and pollution estimation
Automation of various functionalities, modules and tasks for the Indian Institute of Information Technology, Jabalpur, India