Fatih Gorunmek
PhD, Data Scientist, Machine Learning Engineer
Fully Work Authorized – No Visa Sponsorship Required Little Elm, TX 75068
***.*****@*****.***
fatihgorunmek/pHd
DATA SCIENTIST
6+ years of experience with working on the data for academic purposes. Data Scientist and Research Engineer with 3+ years of experience in data analysis, machine learning and visualization techniques. Experience in feature selection, data cleaning, statistical modeling and model evaluation. Focused on transforming business problems into products and solutions. Efficient data analyst that can convert the data into results very quickly. Has the knowledge and experience in the following areas: Data Science: Machine Learning, ETL, EDA, Statistics, A/B Testing, Supervised Learning, Unsupervised Learning, NLP, Recommendation Engine, Deep Learning, PCA.
Languages: Python, SQL, R, Spark, SPSS, SAS, GIS, PostgreSQL, Tableau. Tools: Pandas, Matplotlib, Seaborn, NumPy, Scikit-Learn, TensorFlow, SciPy, Plotly, NLTK, Spark, GitHub, NLP, word2vec .
Cloud Solutions AWS, Azure.
PROFESSIONAL EXPERIENCE
Data Scientist
Trust.d, Piscataway, NJ Apr. 2019 - Current
- Predicting trust scores for guests who are staying in a short-term rental property. Used NLP for collecting relevant social media data and Random Forest model for predicting the scores.
- Estimating Disney World Wait times 1 to 60 days in advance. Used Panda, Scikit-Learn, Seaborn, NumPy for data cleaning and EDA and CatBoost Regressor for modelling.
-Exploring the association between mobile experience and online sales for an e-commerce company. Built predictive models using Regression type models.
Post-Doctoral Research
University of North Texas, Denton, TX Sep 2018-Dec 2019
- Gathered, cleaned inhomogeneous astronomical data taken over 10 months by different observing groups and analyze relevant quantitative and qualitative data.
- I have optimized machine learning models to improve model accuracy for portable technology. Research Scientist
University of North Texas, Denton, TX Aug 2013-Dec 2018
- Gave data analysis support to the university faculty for their research. The projects mainly focused on integrated technology in the classroom, portable technology adoption. The statistical software used include, SPSS, EXCEL, SAS, R, Meta-Analysis, Systematic review, NVIVO, text mining.
Project I –Social media practices and policies: what educators need to know (Meta-Analysis)? Project II – Making a place for technology in teacher education (Text mining). Project III –Using portable technology to prepare teachers (Text mining). Project III –Portable technology adoption intentions to support middle school children classroom. Project IV – Preservice teachers' low intention to use portable technologies in the classroom. Project V –Effect of mobile technology adoption influences on students’ use (Meta-Analysis). Research Analyst
Cleveland State University, Cleveland, OH Sept. 2011 - May 2013
- I used mixed methodology and statistical tools to collect my own data from three middle schools in Cleveland to build and analyze models to explore the cyber bullies in the schools. Also, I have provided research support to faculty by helping in constructing and conducting research surveys and analyzing collected data. EDUCATION AND TECHNICAL PROFICIENCIES
Postdoctoral Research, University of North Texas. 2020 Ph.D. Education-Learning Technologies C&I (focus on Quantitative Methods), UNT. 2018 Thesis title: A Meta-Analysis of the effect Technology Integration Initiative on teachers. M. ED. Curu. & Inst., Cleveland state University. Thesis Title: Cyber Bullying. 2013 PUBLICATION
Technology effectiveness in the mathematics classroom: a systematic review of meta-analytic research. 2018 Journal of Computers in Education, 5(2), 133-148. RELATED COURSEWORK
Python, Machine Learning, Natural Language Processing, Data Mining, Data Visualization, Multiple Regression Analysis, Factorial Analysis, AI/Data science academy, and Business Analytic and Forecasting, SQL Bootcamp, Tableau Certification Training, and Spark bootcamp.