As a Data Scientist at Unsere Grüne Glasfaser, I apply my skills and knowledge in Python, SQL and Azure to identify, analyze, and interpret trends or patterns that improve network operations processes such as provisioning, assurance, and monitoring. I create dashboards and make analysis on data, filter and clean data, and deploy efficient pipelines and Machine Learning applications to address business problems. I also maintain oversight in a complex system with a large set of KPIs and identify anomalies that have a business impact.I graduated with a Master's degree in Computer Science from Technische Universität München in 2023, where I completed my thesis on developing an analysis pipeline for high-throughput reporter gene assays at Systasy Bioscience GmbH. I contributed to the enhancement of the drug discovery process by proposing a robust and interpretive analysis approach. I enjoy talking about new ideas and making new possibilities possible.
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Data ScientistAllianzMunich, By, De -
Data ScientistUnsere Grüne Glasfaser Sep 2023 - PresentMunich, Bavaria, Germany -
Data ScientistUnsere Grüne Glasfaser Feb 2022 - PresentMunich, Bavaria, Germany- Identifying, analyzing, and interpreting trends or patterns to improve network operations processes such as provisioning, assurance, and monitoring.- Creating dashboards and making analysis on data - Filtering and cleaning data and deploying efficient Machine Learning applications to address business problems- Maintaining oversight in a complex system with a large set of KPls and identifying anomalies that have a business impact -
Developing Gene Analysis PipelineSystasy Bioscience Gmbh 2022 - 2023Munich, Bavaria, GermanyMaster Thesis Enhancing the Analysis Pipeline for High-Throughput Reporter Gene Assays: A Focus on cisPROFILER. The ultimate goal of my research was to contribute to the enhancement of the drug discovery process by proposing a robust and interpretive analysis approach.- Deep understanding of library size and control sensor-based normalization techniques.- Successful exploration of differential analysis tools, with insights into their strengths and weaknesses.- Development of strategies for accurate simulation of control sensors despite data limitations.- Creation of comprehensive data visualization methods for better interpretation and presentation of results. -
Data ScientistHensoldt Jan 2020 - Jan 2022Munich Area, GermanyData Analysis, Data Preparation and Deep Learning Model Implementation for the given video data series. -
Data Scientist Interdisciplinary ProjectTreesense Apr 2021 - Nov 2021Munich, Bavaria, GermanyPredicting Tree Health- Employed LSTMs and SARIMAX to develop a predictive model using exogenous variables like weather data.- Analyzed the dataset for quality and potential enhancements to improve model accuracy.- Extracted tree movement from video data, using it alongside impedance data to predict leaf movement and assess tree health.- Investigated the correlation between leaf movements and tree impedance as a novel approach to tree health monitoring. -
Software DeveloperTubitak Bilgem Yte Oct 2018 - Apr 2019Ankara, Turkey -
Software DeveloperTubitak Bilgem Yte Aug 2018 - Sep 2018Ankara, Turkey -
Systems Software DeveloperAselsan Jun 2018 - Aug 2018Ankara, Turkey
Mert Sürücüoglu Education Details
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Computer Science -
3.37/4(Cgpa) -
3.72/4
Frequently Asked Questions about Mert Sürücüoglu
What company does Mert Sürücüoglu work for?
Mert Sürücüoglu works for Allianz
What is Mert Sürücüoglu's role at the current company?
Mert Sürücüoglu's current role is Data Scientist.
What schools did Mert Sürücüoglu attend?
Mert Sürücüoglu attended Technische Universität München, Hacettepe University, University Of Düsseldorf.
Who are Mert Sürücüoglu's colleagues?
Mert Sürücüoglu's colleagues are Vignesh S S, Sascha Hames, Maëva Désiré, Sariman Then, Ute Conradi, Farah Mohamed, Rio Ferio.
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