• Jun 2023 - Present

• May 2023 - Jun 2023

𝐌𝐨𝐝𝐞𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭o Model development environmentso Model development toolso Model deployment methodso Environments (VM, Docker, AWS, AWS CLI, etc.)o S3 bucket, read and write data with Python/Boto3o S3 compatible object storage: MinIOo How MLflow helps model development𝐅𝐚𝐬𝐭𝐀𝐏𝐈 𝐚𝐧𝐝 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭o Data validation with Pydantico Database CRUD Operations with FastAPIo ML Model Deployment with FastAPI𝐂𝐈/𝐂𝐃, 𝐉𝐞𝐧𝐤𝐢𝐧𝐬, 𝐚𝐧𝐝 𝐀𝐧𝐬𝐢𝐛𝐥𝐞o Terraform as IaCo Datascience on AWS𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐨𝐩𝐢𝐜𝐬o Developing user-defined libraries and packageso Testing, logging, and error handlingo Scaling with Apache Spark and Rayo Automation and Infrastructure:𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐨𝐩𝐢𝐜𝐬o How to store and load modelso Loading models from MLflowo Writing prediction results in a databaseo Detecting model/data driftso How to make ML models Docker imageso Deployment on Docker and Kuberneteso Deployment on AWS EC2 Instanceo ML Pipelines Show less

• Dec 2022 - May 2023

𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞o Python, Numpy, Pandaso Functional Exploratory Data Analysiso Functional Data Preprocessing𝐂𝐑𝐌 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬o Customer Segmentation with RFM Analysiso KPI & Cohort Analysiso Expected Sales Forecastingo Customer Lifetime Value Predictiono RFM & K-Means Customer Segmentation𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬o Association Rule Learningo Apriori Algorithmo Collaborative Filteringo Content-Based Filteringo Memory-Based Collaborative Filtering (Correlation)o Model-Based Collaborative Filtering (Matrix Factorization)𝐀/𝐁 𝐓𝐞𝐬𝐭𝐢𝐧𝐠𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬o Linear Regressiono Logistic Regressiono Decision Tree | Baggingo Random Foresto SVMo Naive Bayeso KNNo K-Meanso Dimensionality Reduction Algorithms(PCA)o Gradient Boosting algorithms: GBM | XGBoost | LightGBM | CatBoost Show less

Full Stack Engineer

• Aug 2022 - Jan 2023

Team Lead

• Jan 2021 - Sep 2021

Team lead of one of the finalist team's in Teknofest Artificial Intelligence in Transportation competition. -Object Detection -Deep Learning -Python Team lead of one of the finalist team's in Teknofest Artificial Intelligence in Transportation competition. -Object Detection -Deep Learning -Python