Self motivated, good in team with critical and strategic thinking. Ability to communicate data science into business via academic knowledge and training. Now I Have been working as a Data Scientist with projects such as Data Analysis , Machine Learning and Deep Learning.

Above all, $\textcolor{orange}{\text{I am a lifelong student.}}$

SKILLS:

1. DESCRIPTIVE & PREDICTIVE STATISTICS: Standard Deviation, IQR, Variance, Distributions, Histogram, Outliers Hypothesis Testing, A/B Testing, and ANOVA Correlation and Regression Analysis

2. MACHINE LEARNING: • Explanatory Data Analysis, Feature Engineering • Supervised ML: Regression, Classification Logistic Regression, KNN, Decision Tree, Random Forest, GBM • Unsupervised ML: K-Means Clustering Model • Model tuning, Cross-Validation, Hyperparameter • Python Libraries: NumPy, Pandas, Matplotlib, Seaborn, Sci-kit-learn, SciPy

3. DATA WRANGLING, DATA VALIDATION, DATA QUALITY MANAGEMENT: • SQL, Python • Tableau

4. SOFTWARE SYSTEM ARCHITECTURE: • Cloud: AWS, Azure(Learning) • Relational Data Management/Processing

5. PROJECT MANAGEMENT: • Development Methodologies: Agile, Waterfall • Repository: Git, GitHub, GitLab

6. LINGUISTIC SKILLS: English, Spanish, Turkish

 
 📈 Statistics 
 

 
 🚀 Skills 
 

🚀 Skills

Data Analysis Modules
Data Visualization Modules
Database - SQL Server & SQLite
ML - Machine Learning Modules
DL - Deep Learning Modules
NLP - Natural Language Processing Modules
Cloud Computing with Machine Learning Deployment
Web Programing
Web Requirements
Python IDE's