❖ PyCharm, Virtual Envs, Dependency Management, Git❖ Python, NumPy, Pandas ❖ Customer Segmentation with Using RFM & K-Means Clustering ❖ CLTV : BG-NBD and Gamma Gamma Models❖ Association Rule Learning ( ARL )❖ Memory Based & Model Based Recommendation Systems ❖ Data Manipulation❖ Data Visualization❖ Exploratory Data Analysis ( EDA ) & Data Processing❖ Feature Engineering & Extractions❖ Boosting ML Algorithms such as Gradient Boosting, XGBoost, LightGBM, CatBoost❖ Bagging Algorithms such as Random Forest❖ Unsupervised Machine Learning ( K-Means, PCA, Hierarchical Cluster Analysis )❖ House Price Prediction with ML Models and Hyperparameter Optimization❖ Salary Prediction with ML Models and Hyperparameter Optimization❖ Telco Churn Prediction with Using Ensemble Learning❖ Time Series with Machine Learning Algorithms & Statistical Aspect (ARMA, ARIMA, SARIMA)❖ Script Level Machine Learning❖ Demand Forecasting with LightGBM Algorithm❖ A-B Testing❖ Natural Language Processing ( NLP ) ❖ SQL, MS SQLSkills: Data Science · Python Programming Language · Machine Learning · Data Analysis · Big Data Analytics · Data Visualization · Customer Relationship Management ( CRM ) · Microsoft SQL Server · Time Series Analysis · Recommendation Systems · Measurement Problems · Feature Engineering

Planner,Teamwork,Problem Solving