- Designed and implemented an automated, end-to-end pipeline for reporting WiFi analytics among various customers using MongoDB, ClickHous, Tableau and Python.- Delivered ad-hoc analysis and proactive reports for customers including QoE scoring, call data analysis.

- Designed and implemented scalable demand forecasting models for top retail companies using PySpark framework along with Python libraries including Pandas, Numpy, Scikit-Learn, Prophet and XGBoost.- Worked on the development of an internal "retail analytics" library for data analysis, clustering, outlier detection, seasonality decomposition volatility estimation, pricing, forecasting etc.

• Developed the prototype of a software for detecting cancer driver genes in human DNA by implementing a probabilistic model with Python (pandas, scikit-learn, numpy) • Transferred the prototype into production stage.• Completed technical documentation of the tool and reported progress to the global R&D team through bimonthly presentations.

• Built machine learning models for Location+ product (a decision support platform for location based prediction) and custom tailored projects using Python and Microsoft Azure ML Studio. The solutions are designed for banking and retail sector.• Prepared technical reports and PoCs to acquire new customers.

• Used map-reduce, python&unix scripting to extract insights from vast amount of data.• Developed new KPIs, metrics and dashboards to measure user behaviour, product quality and performance.• Carried out statistical analysis, reports and presentations to top management: • Developed a model to measure the effect of (TV) advertisement and finding an optimum budget spending • Performed churn analysis of acquired users through various channels, thus evaluating performance scores • Worked on potential monetisation level and revenue streams, calculation of expected value a user can generate • Prepared data insights for PR coverage.

• Student Assistant of the course Introduction to Electrical Engineering.• Performed several demos, evaluated quizzes and organised tutorial classes before midterm exams.

• Studied GSM and UMTS technologies used by Turkcell.• Worked on parameter optimisation of radio network stations, optimising and frequency planning of radio cells and transaction of the cells from 2G to 3G networks.

• Programmed PLC devices used in the automated production line to increase the efficiency.

• Studied automotive electronics and electrical technologies in MB vehicles.