Dr. Onur Karadeli

OYAK Digital Transformation, Data & Artificial Intelligence Projects Agentic AI Asisstants( Legal, HR, IT, Reporting) Mining & Metallurgy AI Projects ( Blend Selection) Logistic Projects ( Service and Spare Part Prediction ) Chemical Production Optimization OYAK Digital Transformation Academy ( 15 companies )

- Advanced Analytics DCU/HCU/Ethylene/ARU Optimization Whole Energy Balance, Energy Demand Forecasting UIUX Analytics & Simulation Dashboards, Video Analytics, Planning - Intelligent Automation RPA, Process Mining, Chatbot, Document Understanding - Big Data Monitoring, MLOps Data Platforms (On prem / Cloud )

Sabancı Health Diagnosis & AI - Product Owner Energy Demand Forecasting, Time series forecasting and Anomaly Detection. Self Service Analytics Platform Text & Call Center Analytics. ( 2 Winner awards : DegerKat - IDC Analytics Turkey 2018 ) NPS and Customer Scoring HR analytics Big Data Analytics : Establishment of the S/W and process flow for the Big Data analytics based on tons of different resources including SAS / SAP / BW with scalibility challanges. Cloudera Hadoop , Impala , Yarn , Hive , TLOS , Advanced Analytical Functions

Data Science manager and SW Architect on Big Data using Hadoop ecosystem. Deep Learning with Convolutional Neural Networks using Caffe and Python to predict Age/Gender. Deployed the solution on Amazon AWS using the NVIDIA DIGITS platform. Churn Prediction, Tariff Upsell , Data upsell models using Spark ML/MLlib, Python, Spark SQL, Impala on BigData Apache Hadoop A Chatbot application to predict and answer Natural Language Querries. Utulizing Python ( nltk, scikit-learn, pandas, numpy...) for the engine and backend. Assume the role of Internal Instructor for Big Data and Data Science in Vodafone Turkey. A Competitions contributor in Kaggle.

Data Science Solutions Senior Expert: Housewife's and Youth segmentation using R, MapReduce and Impala. Worked as architect on Churn Prediction, Social Network Analysis, Household Prediction, Fraud Analysis , Segmentation/Predictive Analytics using Machine Learning and misc. Big Data projects for Vodafone. Hands on experience on Apache Hadoop, Pig, Hive/Impala, Spark Machine Learning experience with Apache Mahout, R (Random Forests, Naive Bayess, SVM, Logit...) , Python Visualization with Tableau and R Have given 3 seminars on Big Data (The Vs and Apache Ecosystem) in Universities. ( ITU, Bilkent , ODTU)

Worked as Software Expert for SDF Application Container platform hosting VAS Services: Java, Multi-threaded, performance tuning, distributed architecture, SNMP, JMX, Servlets, REST, SOAP

worked in VoIP product MCP provision and platform teams Java, SIP, Servlets, Unix, RSA Security, SNMPv2, SNMPv3, Unix, Bash, SOAP

Banking Framework: Aurora, Infrastructure division: Accounts and Customer modules. Java, Tomcat, JBoss, SOAP, Jasper, Velocity Reports, , JSP, JSTL; Javascript

ADK (Alternative Dist. Channels) POS interface apps, Java and C++ based SWITCH apps Unix, WindowsNT, SQLServer, Oracle, scripting

Courses: Deep Learning , Deep Reinforcement Learning , Web Mining, Cloud Computing, Stochastic Process ITU Self-Driving Cars competition using Deep Reinforcement Learning - 1st Place (Team Pesla)