Product Planning Engineer

• Jan 2023 - Present

Data Science & Machine Learning Bootcamp Participant

• Jan 2023 - May 2023

• Introduction to Machine Learning • Introduction to Data Science & Artificial Intellgience • Python Programming for Data Science ‣ Pycharm, Virtual Environments & Package Management ‣ Data Structures ‣ Functions ‣ Conditional Expressions & Loops ‣ Comprehensions ‣ Numpy, Pandas, Matplotlib, Seaborn, Plotly ‣ EDA (Exploratory Data Analysis) • CRM Analytics ‣ Cohort Analysis ‣ KPI ‣ CLTV (Customer Lifetime Value) ‣ RFM (Recency, Frequency, and Monetary) ‣ Customer Segmentation ‣ BG-NBD: Expected Sales Forecasting ‣ Gamma-Gamma: Expected Average Profit • Measurement Problems ‣ Rating & Sorting Products ‣ Sorting Reviews • AB Testing • Recommendation Systems ‣ Association Rule Learning ‣ Content Based Recommendation ‣ Item Based Collaborative Filtering ‣ User Based Collaborative Filtering ‣ Model Based Matrix Factorization ‣ Hybrid Based Recommendation • Feature Engineering ‣ Feature Extraction ‣ Outliers ‣ Missing Values ‣ Encoding Scaling (One Hot Encoding, Rare Encoding, Feature Scaling) • Machine Learning ‣ Linear Regression ‣ Logistic Regression ‣ KNN ‣ CART (Classification & Regression Tree) ‣ Random Forests, GBM, XGBoost, LightGBM, CatBoost ‣ Hyperparameter Tuning ‣ Unsupervised Learning (K-Means, PCA, Hierarchical Cluster Analysis) • MS SQL • Demand Forecasting & Time Series Show less

Data Science Bootcamp

• Oct 2022 - Nov 2022

• Feature Engineering • Machine Learning • Feature Engineering • Machine Learning