Machine learning and data science enthusiast,B.tech(J.M.I computer science).
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Pneumothorax-detection
May 23, 2020 – May 23, 2020
Pneumothorax-detection — GitHub repository
View ProjectAttention-augmented-Convolutional-Neural-Networks
October 18, 2019 – December 10, 2019
Attention-augmented-Convolutional-Neural-Networks — GitHub repository
View Projectunderstanding-ML-and-using-pytorch-to-make-life-cool-again
August 24, 2019 – December 10, 2019
pytorch and basic Ml algorithms implementation both in R as well as Python with ready to use datasets
View ProjectHackercamp-18
July 31, 2019 – July 31, 2019
Image sonification using image segmentation and transfer learning.
View ProjectZS-data-science-challenge
July 31, 2019 – August 1, 2019
3 solution files, 1st solution LB-0.847, 2nd solution LB-0.921, 3rd solution (using stacking) LB-0.956. Although 2nd and 3rd solution i created after the competition got over hope you can find something useful through this.
View ProjectTime-series-analysis
July 31, 2019 – October 2, 2019
Time series analysis to predict AQI in Delhi, dataset collated from Indian Meteorological department of India.
View ProjectPD-detection-research-project
July 31, 2019 – July 31, 2019
This repository contains code to voice based PD detection part of my thesis .
View ProjectAutomated-web-scraper-using-python-starter-code
July 31, 2019 – May 13, 2020
Automated web scraper starter code can be used to create your own web scraper using the beautiful library the'Beautifulsoup4'
View Projectkaggle_competitions-and-Minor-project.
July 31, 2019 – May 23, 2020
Solutions to kaggle competition-Pneumothorax detection
View ProjectUsing_Synthetic_gradients
May 6, 2019 – October 30, 2020
Using_Synthetic_gradients — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong passion for data science through a diverse range of personal projects, including Kaggle competitions and research-oriented tasks. This indicates a self-starter who is keen on continuous learning and problem-solving, which could align well with an innovative and growth-oriented culture. The breadth of projects (time series, image processing, medical imaging, web scraping) suggests adaptability and a willingness to explore different domains within data science.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying data science concepts, as evidenced by post-competition improvements and exploration of advanced topics. However, without formal work experience or psychometric test results, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.