Greetings!

Salih Kilicli

M.Sc. Applied & Computational Mathematics
(emphasis on Statistics & Data Science)

Data Scientist Intern @ Seeloz

I am an Applied Mathematician & Data Scientist. I am a curious person, always seeking to gain more knowledge and further hone my skills. I love Mathematics, Statistics, and Data Science/AI. Recently, I decided to convert my Ph.D. to MS @ Texas A&M University to pursue a career in Data Science and follow my passion in AI.

I have a 4.0 GPA on all Ph.D. level statistics courses and an Applied Statistics Certificate as well as a Computational Sciences Certificate from Texas A&M. Relevant coursework & programming languages used are:

  • Mathematical Algorithms & Their Applications (Python)
  • Statistical Aspects of Machine Learning I (Python)
  • Databases and Computational Tools Used in Big Data (Python, R, C/C++, No/SQL)
  • Regresional Analysis (R)
  • Time Series Analysis (R)
  • Applied Biostatistics & Data Analyis (R)
  • Databases and Computational Tools Used in Big Data (Python, R, C/C++, No/SQL)
  • Mathematical Modelling (MATLAB)
  • Numerical Analysis (MATLAB)
  • Numerical Methods in PDEs - FEM (MATLAB)
  • Mathematical Algorithms & Their Applications (Python)
  • Statistical Aspects of Machine Learning I (Python)
  • Regresional Analysis (R)
  • Time Series Analysis (R)
  • Applied Biostatistics & Data Analysis (R)
  • Mathematical Modelling (MATLAB)
  • Numerical Analysis (MATLAB)
  • Numerical Methods in PDEs - FEM (MATLAB)
  • Databases and Computational Tools Used in Big Data (Python, R, C/C++, No/SQL)

Leadership
Team Work
Communication
Work Ethic
Adaptability
Problem Solving

Skills

Math Modelling
Mathematical Modelling

The majority of my graduate studies was spent on modelling mathematical problems involving PDEs and ODEs using numerical methods. Taugh freshman engineering students how to model Calculus I-II problems using Python's Math, SymPy & NumPy libraries.
EDA
Exploratory Data Analysis

Analyzed various datasets using R during Ph.D.-level Statistics courses: Regressional Analysis, Time Series Analysis, as well as Applied Biostatistics & Data Analysis @ TAMU. Spent most of my spare time working on various datasets in Kaggle and deploying Machine Learning models using Python.
ML&DL
Machine & Deep Learning

Completed Coursera's Machine Learning course (by Stanford University) and Deep Learning Specialization (by deeplearning.ai), as well as Udemy's Python for Data Science and Machine Learning Bootcamp. Finished 13/15 mini-courses in Kaggle, and in progress with Coursera's Applied Machine Learning with Python course (by UMICH).
Python
Python

Taught Calculus I-II classes using Python. Wrote most of the Data Science / ML / DL and Algorithms codes in Python. Highly experienced in Jupyter Notebook, Google Colab & Visual Studio Code platforms. Worked on SciPy environment (SymPy, NumPy, Pandas, matplotlib etc.), scikit-learn, Tensorflow 2.0 & Keras. I enjoy challenging myself on programming problems @ EulerProject, HackerRank, and LeetCode.
R
R

Used R Studio and R markdown for multiple Ph.D.-level Statistics courses for regression, time series, and data analysis.
SQL
SQL

Used SQL for data wrangling and management during Ph.D.-level Statistics course - Databases and Computational Tools Used in Big Data. Learned writing basic to advanced SQL queries using google.cloud library in Python from Kaggle, and MySQL from Udemy.
MATLAB
MATLAB

Taught Calculus classes in MATLAB. Most of the projects and homework in graduate studies were written in MATLAB language. Experienced with more than 10,000 lines of code, mostly for numerical analysis and computational mathematics.
C++
C++

Familiar with basic C/C++ programming. Used it for compiler optimization, vectorization and profiling problems during Ph.D.-level Statistics course - Databases and Computational Tools Used in Big Data.
Linux
Linux

Used for various projects and high performance computing systems. Capable of writing bash/shell scripts.

Experience

1
Texas A&M University (TAMU)

Jun 2018 - Present, College Station, TX

Texas A&M University's Mathematics Department was ranked 14th in the world the year I was accepted to Ph.D. program.

Graduate Teaching Assistant

Aug 2018 - Dec 2020

  • Grader for Ph.D. level Introduction to Ordinary & Partial Differential Equations class (MATH 611)
  • Provided solutions to homework problems and graded students' work
  • Taught Calculus I-II (MATH 141/142) as well as how to model calculus problems in Python, and MATLAB to engineering students
  • Taught, graded quizzes and programming assignments, proctored and graded exams, and provided office hours

Projects

Achievements

YLSY Scholarship