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followers: 42.0 following: 26.0 repos: 26.0 gists: 0.0

Name: Salih Kilicli

Type: User

Company: Neiman Marcus

Bio: Data Scientist @ Neiman Marcus Group

Twitter: math3mantic_

Location: Houston

Blog: https://salihkilicli.github.io/

Hey! 🙋‍♂️ I'm Salih! & I love Deep Learning! (:

Salih | Github

Salih | LinkedIn

Salih | Kaggle

Salih | Twitter

Hello, my name is Salih Kilicli. I am an Applied Mathematician by passion and a Data Scientist by practice. I currently work as a Data Scientist @ PwC AI Labs. 📈 📊 📉 This might sound crazy but I decided to leave my Ph.D. education in Applied & Computational Mathematics @ Texas A&M University during the pandemic to be a Data Scientist | ML/DL Engineer to follow my passion for Data Science & AI. 🦾

My graduate studies were focused on the intersection of Deep Learning and Generalized Multiscale Finite Element Methods (GMsFEM). Meanwhile, I received Applied Statistics and Computational Sciences certificate and self-studied Machine & Deep Learning while working as a graduate teaching assistant. As a GTA I helped my students to learn how to deal with Calculus I-II problems using Python & MATLAB, as well as Ordinary and Partial Differential Equations. I will be sharing my experience and knowledge in Data Science, ML & DL on my personal website. I keep my notes from the books/courses I already finished on my Gitbook. I will update my notes as I find more spare time.

Personal Octocat! 🐙🐱

I hope you liked my Texan 🇨🇱 Octocat. You can create yours @ myoctocat.com.

About Me:

📖 I'm currently :
- Following the MOOC courses below:
  - TensorFlow: Advanced Techniques by Deeplearning.AI,
  - Reinforcement Learning Specialization by Univ. of Alberta,
  - Natural Language Processing Specialization by Deeplearning.AI,
- Reading the books:
- Working on Kaggle competitions and personal data science projects.
🏆 I finally took the TensorFlow Developer Exam and passed it with the perfect score within 3-hours! Whoop!
📚 I previously finished ML & DL courses by Andrew Ng, and TensorFlow Developer Specialization by Laurence Moroney on Coursera as well as almost all (15/16) of the Kaggle mini-courses.
📨 You can contact me by sending an email.
📑 Here is my most recent resume: 1) LaTeX 2) GDocX

Programming Skills:

Salih Kilicli's Projects

applied-biostatistics-and-data-analysis

My homework solutions (in R Markdown) of the Ph.D. level statistics course - STAT 645 in Texas A&M University

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-mlops

A curated list of references for MLOps

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

customer-satisfaction

Santander Bank is asking Data Scientist to help them identify dissatisfied customers early in their relationship. Doing so would allow Santander to take proactive steps to improve a customer's happiness before it's too late.

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

databases-and-computational-tools-used-in-big-data

My homework solutions (in SSH/Linux/Bash via TAMU HRPC) of the Ph.D. level Statistics course (STAT 624) in Texas A&M University

dsnd_term2

Contains files related to content and project of DSND Term 2

european-soccer-dataset-data-analysis

I analyzed the Europen Soccer Dataset from Kaggle - (In Progress)

fsnd-deploy-flask-app-to-kubernetes-using-eks

The Full Stack Nanodegree course 4 project

gauss-legendre-quadrature-in-1d-and-2d

Gauss-Legendre Quadrature in 1D/2D

gitbook-notes

learning

Becoming better at data science every day

mathematical-algorithms-and-their-implementations

My notes for projects done in Math Ph.D. course MATH 679: Mathematical Algorithms & Their Applications

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

msfem-2d

[Python] Multiscale Finite Element Method Code in 2D Bilinear Rectangular Elements

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

python-data-science-and-machine-learning-bootcamp-projects

My solutions to projects given in the Udemy course: Python for Data Science and Machine Learning Bootcamp by Jose Portilla

regression-analysis-with-r

My homework solutions (in R) of the Ph.D. level statistics course (STAT 608) at Texas A&M University

reviewing-a-pull-request

salihkilicli

GitHub profile summary

salihkilicli.github.io

Personal Data Science portfolio and blog site

soccer_transfers_recommendation_engine

In progress...

stanford-cme-106-probability-and-statistics

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

stat616project

comparing clustering methods

time-series-analysis-and-forecasting

My homework solutions (in R) of the Ph.D. level statistics course - STAT 626 in Texas A&M University

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