Alper Hatipoglu Email & Phone Number

Berlin, De

İstanbul, Türkiye

Achievements & TasksRecommendation Engine • Data Engineering, Preprocessing train data with Pyspark on Azure Synapse Analytics • Writing test cases for unexpected data with PySpark • Devoloping three different analysis methods and one model for getting recommendations • Hybriding model/methods outputs for final recommendations • Developing API and Postprocessing on Flask and deployed with Docker • For CI operation used Azure DevOpsSales Forecast • Data Engineering with Pyspark on Azure Synapse Analytics • Writing test cases for unexpected sales data with PySpark • Used different feature extraction, anomaly detection methods • Developing four different time series model for four different country • Deploying model on Azure ML Studio with Azure ML SDK V2 (Custom Pipeline)Basket Analysis • Data Engineering on more than one billion rows with PySpark on Azure Synapse Analytics • Used Apriori and FpGrowht methods with PySpark • Developed Azure Synapse Analytics Pipeline for periodic scheduling • Created Report on PowerBIRFM • Data Engineering with Pyspark on Azure Synapse Analytics • Developing Score Based Customer Segmentation Method on Azure Synapse Analytics • Developed Azure Synapse Analytics Pipeline for periodic scheduling • Created Report on PowerBICLTV • Data Engineering with Pyspark on Azure Synapse • Developing BG - NBD, Gamma - Gamma methods for getting probability alive, predicting monthly clv score and weekly expected purchasing forecast • Developed Azure Synapse Analytics Pipeline for periodic scheduling • Created Report on PowerBIFrameworks, Tools and Technologies I use: • Python, Pyspark • Flask, Numpy, Pandas, Polars, Matplotlib, Plotly, Tensorflow, PyTorch • MSSQL, PostgreSQL, SQLite • Azure ML Studio, Azure Synapse Analytics, Azure App Services, AWS, Docker, Git, Azure DevOps, Linux • PowerBI

İstanbul, Türkiye

Tekirdağ, Türkiye

London, England, United Kingdom

- Collecting and preparing data, model designing, developing as well as validation support for coding assessments- Using SQL to fetch data from databases and used ‘Python’ for data cleaning and data analysis- Using machine learning and statistical modelling techniques to develop and evaluate algorithms to improve performance and quality- Building new models to extract more value from the customers' data we collect- Developing classifiers and tools supporting machine learning and regression models- Implementing Data Science capabilities based on solution requirements

Tekirdag, Turkey

- Managed the projects with Python, Minitab, KNIME programs. The algorithms are SVM, PCA, NCA, Logistic regression, Linear regression, Decision tree, Random forest etc.- Leading 2 Machine Learning Projects- Leaded Six Sigma Green Belt Project and coordinating Six Sigma Green Belt-7 Projects- Leaded DOE (Design of Experiment) and coordinating DOE-2 Projects- Followed the continuous project portfolio and budget/expenditures/earnings of the improvement projects

Tekirdag, Turkey

- Demand forecasting with Machine Learning Algorithms- Statistical process control- Consulting and coordinating all lean manufacturing systems (5S, Kaizen, Value Stream Mapping, SMED etc.)

Tekirdag, Turkey

- Managing production, production planning, quality and purchasing departments- Following all production unit regarding process efficiency and conditions- Following all quality control and customer relations.- Coaching and coordinating production team.

Tekirdag, Turkey

- Management of weaving/yarn warehouse (200 ton capacity, 21 people, 1800 transport tools)- Executing actively Ass. Head Improvement Pillar (Cycle Time Project, Production Automation System-Shop Floor etc.)- Leading Office TPM Pillar (Stock mapping and stock cost project, factory transport project etc.)

Istanbul, Turkey

- Following up all production line regarding production level, quality level, production efficiency and machine efficiency.