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"๐˜ˆ๐˜ฏ ๐˜ข๐˜ฑ๐˜ฑ๐˜ณ๐˜ฐ๐˜น๐˜ช๐˜ฎ๐˜ข๐˜ต๐˜ฆ ๐˜ข๐˜ฏ๐˜ด๐˜ธ๐˜ฆ๐˜ณ ๐˜ต๐˜ฐ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ณ๐˜ช๐˜จ๐˜ฉ๐˜ต ๐˜ฑ๐˜ณ๐˜ฐ๐˜ฃ๐˜ญ๐˜ฆ๐˜ฎ ๐˜ช๐˜ด ๐˜ธ๐˜ฐ๐˜ณ๐˜ต๐˜ฉ ๐˜ข ๐˜จ๐˜ฐ๐˜ฐ๐˜ฅ ๐˜ฅ๐˜ฆ๐˜ข๐˜ญ ๐˜ฎ๐˜ฐ๐˜ณ๐˜ฆ ๐˜ต๐˜ฉ๐˜ข๐˜ฏ ๐˜ข๐˜ฏ ๐˜ฆ๐˜น๐˜ข๐˜ค๐˜ต ๐˜ข๐˜ฏ๐˜ด๐˜ธ๐˜ฆ๐˜ณ ๐˜ต๐˜ฐ ๐˜ข๐˜ฏ ๐˜ข๐˜ฑ๐˜ฑ๐˜ณ๐˜ฐ๐˜น๐˜ช๐˜ฎ๐˜ข๐˜ต๐˜ฆ ๐˜ฑ๐˜ณ๐˜ฐ๐˜ฃ๐˜ญ๐˜ฆ๐˜ฎ." -John Tukey

๐Ÿ‘ฆ๐—”๐—ฏ๐—ผ๐˜‚๐˜ ๐—บ๐—ฒ: I'm driven by data and motivated by quality

The quote by Tukey that you've read above greatly reflects my approach to data science. If we spend 80% of our time processing data, then our focus should be on understanding the data and asking the right questions. My 2 years of experience have taught me how to appreciate data and take a data-centric approach. I want to create solutions to common problems and make artificial intelligence accessible to everyone.

๐Ÿ“š My core competencies include:

โœ” Data Science โœ” Machine Learning โœ” Deep Learning โœ” Data Analysis using Python and Spark โœ” Statistical Analysis using R โœ” Database programming using MySQL, PostgreSQL, Oracle โœ” Data Visualization using Tableau, Power BI, Excel โœ” Cloud Computing using AWS, GCP, Azure

๐Ÿ’กFun Facts:

โ–ช๏ธ I am preparing for AWS Solutions Architect certification โ–ช๏ธ In my free time, I would watch Scifi shows on Netflix or play ๐ŸŽฎPS4 or play ๐ŸŽพTennis โ–ช๏ธ Did you know GPT-3 can build websites?!!

Feel free to reach out to me on https://www.linkedin.com/in/nse1994/ , if you want to learn how I transitioned into Data Science. I look forward to meeting you!

Nikhil Edward's Projects

data_analytics icon data_analytics

Repository of Data Analysis using Bayesian Inference, CNN, Decision Trees, Random Forest, XGBOOST, PCA, LSTM

deep_learning icon deep_learning

Mini Projects for EEL 6935 Deep Learning Course. Covering Cost functions, Neural Network for multi-class classification, Regularizers, Image Classification using CNN on CIFAR-10 datset, View filters, Data Augmentation, Denoising Autoencoders, Recommender systems , DNN, CNN, GANS, LSTM- RNN

gitfiti icon gitfiti

Carefully crafted graffiti in a github commit history calendar

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ml-coursera-python-assignments icon ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

python icon python

All Algorithms implemented in Python

the-incredible-pytorch icon the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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