ale certe

Designed, developed, and maintained scalable data models and data warehousing solutions on AWS Redshift, including building a Data Warehouse for ChilizX with DBT and Visual Studio. Developed data pipeline processes using SQL and Python, and created dashboards with Metabase and Tableau. Mentored junior team members and ensured robust, scalable end-to-end solutions.

Designed, developed, and maintained scalable Tableau dashboards for Chiliz Chain to visualize blockchain data effectively. Conducted on-chain and off-chain blockchain analysis, delivering actionable insights through monitoring and reporting. Collaborated closely with internal stakeholders to provide analytical support and develop dashboards for operational use cases.

Led the full implementation of a business intelligence solution for over 3 million policies and 30+ insurance products, designing end-to-end solutions in data warehouses, analytics, and reporting. Spearheaded the data governance framework and fostered a data-driven culture within the organization. Coordinated across departments for quality assurance and mentored business users on BI reporting desi

Ensured maximum possible business performance by identifying, scrutinizing, and initiating resolution of irregular system events. Maintained clear communication with all stakeholders regarding system performance and issues. Focused on optimizing operational efficiency and problem-solving within the system.

Owned the process of report design, development, and testing, preparing ad hoc SQL queries for business users. Collaborated with organizational partners to build and maintain quality data processes and assisted in developing data models and interface design specifications. Performed data analysis to support system defect evaluation and new functionality requirements.

Provided technical support for Solvency II implementation and managed the Actuarial Function, including reserve evaluation and pricing assignments using GLM with ResQ and R. Developed programs for premium adjustments and performed capital requirement calculations under Solvency II. Created monthly reports with Insfocus BI and supported colleagues with quantitative techniques for decision-making.

Applied pricing methodologies using SAS and Emblem, and identified/analyzed local regulatory frameworks for technical notes. Collected, analyzed, and modeled data in Excel using a Multiplicative model. Performed reserving methodologies with ResQ, including evaluation and calculation of BEL for health and non-life insurance, and contributed to Capital Model Solvency II calculations.

Grade: 100

Analyzed fiscal policy mechanisms in the euro area using the Svar methodology for an Econometrics Research Thesis. Studied advanced data analysis in R and Lisrel, data mining with JSP and SQL, and financial econometrics with Eviews. Covered subjects like economic and financial time series, market analysis, and statistical models for decision-making.

Focused on core statistical and informatics principles, including advanced statistics, time series analysis with Eviews, and data analysis with SAS. Covered subjects such as business administration, economics, mathematics, probability, information systems, and quality control. Gained practical experience in statistical laboratory and market analysis.

Completed six extensive courses covering blockchain, cryptocurrency, and Web3 technologies. Gained a comprehensive overview of the foundational concepts and advanced topics within the decentralized web ecosystem.

Completed a hands-on Analytics Engineering Bootcamp, covering dbt theory, building a dbt project from scratch, and deploying to dbt Cloud. Developed practical skills in modern data transformation workflows.

Mastered advanced SQL for data analysis, focusing on writing efficient and optimized queries. Utilized subqueries, CTEs, and temporary tables to handle complex, multi-stage queries and data transformations.

Completed the IBM Data Science Professional Certificate, covering data science methodologies, Python for Data Science and AI, and data analysis and visualization with Python. Gained expertise in machine learning with Python.

Activities and societies: Certified ScrumMaster® (201809573)

Achieved Certified ScrumMaster (CSM) certification, demonstrating proficiency in Scrum framework and agile methodologies. Learned to facilitate Scrum events and support development teams.

Learned to import, manipulate, and clean data using Python with databases. Applied statistical analysis techniques and utilized Python libraries such as Numpy, Scipy, and Matplotlib.

Attended a global seminar on motor insurance pricing, covering database preparation, risk models like frequency and severity models, and price elasticity models. Explored the use of variable credit scores and machine learning in pricing.

Obtained a Certificate in Insurance, covering fundamental aspects of insurance, legal and regulatory frameworks, general insurance business, and the insurance underwriting process. Gained foundational knowledge in the insurance industry.

Studied R data types and objects, reading and writing data, control flow, functions, and scoping. Gained skills in handling dates, loops, debugging tools, simulation, and code profiling in R.