Graduated as a Chemical Engineer from Pannon University, Hungary
Strong emphasis on problem-solving projects, applying logical thinking, mathematics, statistics, and numerical methods
After graduation, I started my career in the pharmaceutical industry as a Quality Assurance (QA) specialist, where managed validation projects, analyzing production parameters and monitoring processes to ensure compliance with quality standards.
Key Achievement: SAP Implementation company wide:
Served as a core team member during company-wide transition from an outdated ERP system to a new SAP system and developed a strong interest in understanding business requirements and manufacturing operations and providing solutions (realizing the power of data)
Received direct awards for outstanding contribution and successful project delivery
After 4 years in the pharmaceutical industry, I transitioned from QA to my first Data Analyst role at the university, where I applied my analytical skills to design and analyze surveys, create dashboards, and provide actionable insights to the university leadership team to support strategic decision-making
Currently working as a Data Analyst at an international data company, help clients grow their brand and business by providing reports that supporting data-driven decision-making
Data analyst -Altrata, New York, USA (Remote)
May 2024 - currently
Responsibilities:
At Altrata, is primarily wealth and financial intelligence focused, I analyze and profile high-net-worth individuals using extensive proprietary datasets to support strategic business decisions. I also examine leadership teams across major market indices, evaluating executive backgrounds and performance to deliver insights that inform investment and business strategy.
Prepared high-quality datasets by gathering, cleaning, and organizing complex wealth and financial information from multiple sources—including limited internal data, open-source datasets, and purchased datasets—to enable comprehensive analysis and accurate forecasting
Developed and optimized SQL queries to extract, transform, and prepare data for complex study and reporting. I work with our large internal databases, writing SQL queries to select the specific information needs. Also I join multiple tables, standardize values, and when necessary, restructure queries to improve performance and make slow queries run faster.
Using quantitative and qualitative statistical techniques to identify patterns, collecting both numerical data and non-numerical information. This includes analyzing quantitative metrics, reading articles, reports and observing individual behaviors.
Managed press requests related to industry research and company insights. I provide accurate data, analysis, or summaries that support their articles
Solve business problems and support clients’ brand growth by using your data help companies make strategic, informed decisions. Such as targeting their right customers, investment/partnership decisions, philanthropy and sponsorship strategy.
I leverage AI prompt engineering to create deep-search prompts that enhance data discovery and completeness. This allows me to quickly gather, process, and organize large amounts of data, while carefully designing the instructions to ensure the searches are accurate and efficient. By combining quantitative and qualitative data, I generate stronger insights to support profiling high-net-worth individuals and inform strategic decision-making.
Identified trends and uncovered key insights using AI-assisted analysis to highlighting market opportunities.
Designing and administering surveys using appropriate statistical and methodological standards. I designed surveys to ensure the questions were clear, unbiased, and statistically valid. Most responses were coded to create numerical intervals for quantitative analysis, while a few were open-ended and analyzed qualitatively based on thematic patterns.
Analyzing survey data with quantitative and qualitative techniques. Quantitative techniques → looking at numbers, statistics. Qualitative techniques → looking at open-ended answers.
Creating dashboards and visual reports to inform leadership.
Operating and maintaining the university’s quality assurance system to ensure compliance with accreditation standards. Monitoring processes – Keeping track of academic programs, administrative procedures, and student services to ensure they meet required standards.
Chemical Engineer-Quality Assurance - Sun Pharma, Tiszavasvári, Hungary (Onsite)
September 2019- January 2024Responsibilities:I ensure that products are safe, effective, and meet regulatory standards. I manage validation activities, review processes, conduct risk assessments, and prepare documentation to maintain compliance.
Directorate’s award on Implementation of the SAP system at Sun Pharmaceutical Industries in 2023.
Managing all validation activities, including validation strategy and creating of protocols, risk assessment and reports. Ensuring that equipment, processes, and systems produce consistent, Planning how and when validations will be done, what methods will be used. Evaluating potential risks that could affect product quality.
Investigate root cause of problems. If a product, process, or equipment does not meet the required standards, find the underlying reason for the failure. The goal was to prevent it from happening again.
Assist at audits by client and regulatory inspections. Helped ensure the company passes audits and inspections successfully by demonstrating compliance and proper processes.
Core member in implementing a new company-wide SAP (ERP) system. Conducted internal research, gathered business and manufacturing requirements, translated findings into actionable recommendations to improve processes.
Bachelor of Chemical Engineer
University of Pannon, Hungary ( Accreditation by IChemE )
2012-2019
Relevant University Subjects & Skills
Chemistry
Physics
Mathematics
Mathematical Analysis – calculus, differential equations, function analysis, optimization
Numerical Methods – computational problem solving, matrix operations, algorithm implementation
Statistics & Data Analysis – probability theory, descriptive statistics (mean, median, standard deviation, variance, percentiles), inferential statistics (sampling, hypothesis testing, confidence intervals), data visualization
Heat and Mass Transfer – modeling and analysis of energy and material flows in processes
Industrial Process Design – process planning, optimization, and efficiency analysis
Chemical Technology & Laboratory Work – experimental design, data collection, quality control, chemical process simulations