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Sıla Ada is listed as Head of Data Analytics at Payla at Payla, based in Vienna, Vienna, Austria. AeroLeads shows a matched LinkedIn profile for Sıla Ada.
Sıla Ada previously worked as Head of Data Analytics at Payla and External Lecturer at Wu (Vienna University Of Economics And Business). Sıla Ada holds Doctor Of Philosophy (Ph.D.), Social And Economic Sciences from Wu (Vienna University Of Economics And Business).
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Ph.D. in Social and Economic Sciences with 10+ years’ experience in data analysis, who is passionate about the potential of technology and data analytics. Business-minded data scientist with a demonstrated ability to deliver insights via data-driven methods and data visualization by means of blended studies in mathematics, industrial engineering, and digital marketing. Experienced both in private sector and at university, skilled at lecturing, gaining knowledge in research methodologies, conducting experiments as well as collecting and analyzing data by constantly developing programming skills in R and SQL. By leading the consumer and data analytics team, gained thorough knowledge in credit risk assessment models in FinTech, particularly in BNPL (Buy Now Pay Later).
Listed skills include Operations Research, Mathematical Modeling, Data Analysis, Statistics, and 25 others.
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Vienna, Austria
Leading the data analytics team that drives business performance and potential by using the existent and new data sources and techniques. Coordinating, developing, and implementing (Credit Risk) BI & data analytics requirements from various departments by means of state-of-the-art Machine Learning algorithms.
Vienna, Austria
Lectures taught: Business Analytics, Business Software Skills (SQL and PowerBI)
Vienna, Austria
Statistically investigating the associations between behavioral characteristics and financial behaviors of the clients to develop new features and enhance the current performance of the product. Developing the connection between the behavioral data generated in the system and the external indicators in an automated fashion, which predicts the relevant.
Actively managing programs and strategies for optimizing risk decisions by leading the consumer risk team. Optimizing the consumer risk assessment model by means of data science. Continuous reviewing of credit score settings. Developing forecasting models and recommendations to optimize the risk setting. Maintaining business relationships with credit score.
Leading empirical research projects by conducting literature reviews as well as collecting and analyzing data by applying data-driven statistical methods. Giving lectures in data analysis for business students and supervise bachelor as well as master theses. Lectures taught: Theoretical Minimum of Quantitative Marketing (Summer & Winter 2016), Marketing.
Lectures taught: Introduction to Probability (Winter 2012, Summer & Winter 2013, Winter 2014), Object Oriented Programming (Winter 2013, Summer & Winter 2014), Manufacturing Techniques (Winter 2014), Design of Experiments (Summer 2013, Summer school 2013, Summer 2014, Summer school 2014), Introduction to Programming - C Language (Winter 2012, Summer school.
Being responsible of data management, pattern/trend exploration, ad copy/creative testing, landing page analysis, and developing forecasting models. Managing the day-to-day core insights and trends of company's digital marketing programs to guide the optimization efforts over web analytics tools (i.e., Google Analytics).
Title of PhD Thesis: "Quality Issues in Online Display Advertising", supervised by Professor Nadia Abou Nabout The overarching aim of my.
Performed two and a half years of studies in pursuit of PhD before exiting program 30 credits taken towards Ph.D. : Derivative Securities.
Thesis title: Quantifying the Risk of Portfolios Containing Stocks and Commodities, supervised by Wolfgang Hörmann
Funded semester abroad program (Erasmus Programme)
Quick answers generated from the profile data available on this page.
Sıla Ada works for Payla.
Sıla Ada is listed as Head of Data Analytics at Payla at Payla.
Sıla Ada is based in Vienna, Vienna, Austria while working with Payla.
Sıla Ada has worked for Payla, Wu (Vienna University Of Economics And Business), Behaviorquant, Paysafe Pay Later - Paysafe Group (Payolution Gmbh), and Istanbul Kultur University.
You can use AeroLeads to view verified contact signals for Sıla Ada at Payla, including work email, phone, and LinkedIn data when available.
Sıla Ada holds Doctor Of Philosophy (Ph.D.), Social And Economic Sciences from Wu (Vienna University Of Economics And Business).
Sıla Ada is listed with skills including Operations Research, Mathematical Modeling, Data Analysis, Statistics, Statistical Modeling, R, Quantitative Finance, and Data Mining.
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