Programming

About Me

All the things I can do

  • Write all the code
  • Gather all the data
  • Analyze all the insights
  • Drink all the coffee
    (A coder needs his coffee!!)
  • Build all the ML Models
  • Deploy all the Models to users

Experience

Deep Learning Research Intern - Pucho Life Sciences Inc.
April - Ongoing

In silico vaccine design using DeepVacPred

My Responsibilties
  • Developing deep learning models for in silico vaccine design to create an epitope vaccine for SARS-COV-2 VIRUS
  • Reading and implementing research papers
  • Working on the intergration of those models in the read-world environment

Projects

These are a few of the projects I have worked on (Click on the imaegs to go to the Github pages)

Neural Network

Diabetes-mellitus Prediction

[Scikit-learn, Xgboost, Keras]

  • Predicted whether patients had Diabetes-mellitus when they came to the ICU
  • Used data from MIT’s GOSSIS Dataset
  • Blended 2 XGB and 1 NN model
  • Got a ROC AUC Score of 0.8726

Cassava Leaf

Cassava Leaf Disease Detection

[Pandas, OpenCV, Pytorch]

  • Classified whether Cassava leaf was healthy or diseased using CNN
  • Used 21,367 labeled Cassava leaf images
  • Used efficient-net-b4 pretrained model achitecture and image augmentations
  • Got a ROC AUC Score of 0.879

Skin Lesion Image

Melanoma Skin Cancer Detection

[Pandas, OpenCV, Pytorch]

  • Classified whether Melanoma Cancer was malignant or benign using CNN
  • Used 32,542 labeled Skin Lesion images
  • Used efficient-net-b4 pretrained model achitecture and image augmentations
  • Got a ROC AUC Score of 0.904

Data Visualization

Kaggle Survey Data Analysis

[Pandas, Matplotlib, Seaborn]

  • Analyzed the competition between Google Colab and Kaggle
  • Used kaggle data science survey 2021 data
  • Used numpy and pandas to clean and explore the data
  • Created data visualizations using matplotlib and seaborn

Chess Article

Chess Analysis Generation [Ongoing]

WIP, WIP, WIP

Chess Board

Chess winner prediction [Ongoing]

WIP, WIP, WIP

Skills

  • Python, C and C++
  • Data Collection (Beautiful Soup, SQL)
  • Computational and Data Preparation frameworks (Numpy, Pandas)
  • Data Visualizations (matplotlib, seaborn)
  • Storytelling and Dashboard Creation (Tableau)
  • Machine Learning Algorithms and Framework (sckit-learn)
  • Deep Learning Algorithms and Framework (keras, Pytorch)
  • Cloud Computing (AWS)
  • Web Application Framework (Flask)
  • UI/UX Design (Figma)
  • Web Development (HTML, CSS, Bootstrap)

Achievements

  • Got 106/807th position in WIDS Datathon 2021 on Kaggle, competing against proffesional Data Scientists and Grandmasters
  • Kaggle 1x Expert

Communities

  • Active Participant of the Woman in Data Science Community, also took part in their datathon and helped some of my female peers start out Data Science
  • Active member of the Kaggle Community, Discussion's Expert