30. CS Undergrad | Analytics Manager. Curious about Data Science and Blockchain. Loves the process of unlearning and relearning. Quite interested in CyberSec!
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Python-ToTheMoon-Hacks
June 12, 2021 – June 12, 2021
Contains Various Jupyter Notebooks to help you perform your day to day python operations Faster
View ProjectPandas-with-Dask-For-an-Ultra-Fast-Notebook
May 17, 2020 – May 17, 2020
Pandas-with-Dask-For-an-Ultra-Fast-Notebook — GitHub repository
View Project12-Amazing-Pandas-NumPy-Functions
March 7, 2020 – March 7, 2020
Code linked to the article published on medium.com
View ProjectBuilding-a-custom-dataset
November 26, 2019 – November 26, 2019
When you don't find a dataset online, you can create one on your own.
View ProjectGenerate-any-sport-highlights-using-python
September 9, 2019 – September 9, 2019
Just pure python, No ML or DL
View ProjectKryptoKnite---Virtual-Personal-Assistant
May 7, 2019 – May 9, 2019
This is just a small example of AI. AI's capabilities are endless. This is just a weekend project though. Feel free to fork and star
View ProjectSimple-Image-Recognizer
December 28, 2018 – December 31, 2018
Simple image recognition in python with CIFAR10 dataset using Keras
View ProjectTwisentR
December 11, 2018 – December 11, 2018
Shiny App for tweet and sentiment analysis
View ProjectPlotly-Projects
November 22, 2018 – November 22, 2018
Plotly-Projects — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows initiative through numerous personal projects, indicating a self-starter attitude. The diversity of projects, from data analysis to basic AI and web applications (Shiny), suggests adaptability and a willingness to explore different areas within data science. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating it was not completed or the score is unavailable.