Efthymios K.

Dear Hiring Team, I am excited to apply for this opportunity, bringing a combination of extensive freelance experience, professional data science expertise, and a strong academic background in statistics, computer science, finance, and complex systems. I have approximately 8 years of experience working as a freelancer on Upwork, where I have maintained Top Rated status while collaborating with clients across different industries and delivering projects involving data science, statistical analysis, machine learning, business intelligence, financial modelling, and research. This experience has taught me how to work independently, understand complex requirements, follow detailed instructions, communicate effectively, and consistently deliver high-quality results. Professionally, I have been working as a Data Scientist at StatBid, focusing on e-commerce analytics, machine learning, AI development, and LLM-related applications. My responsibilities include developing analytical solutions using Python and SQL, building and evaluating machine learning models, processing large-scale datasets, and translating complex information into actionable business insights. I have also worked on AI-driven development and LLM applications, exploring ways to automate analytical workflows, improve data interpretation, and enhance business intelligence processes. My previous experience as a Data Analyst at Search Atlas involved data engineering, geospatial analysis, and natural language processing. I developed data pipelines using PostgreSQL and PostGIS, applied machine learning and NLP methodologies, and analyzed structured and unstructured datasets to identify patterns and explain the factors influencing local search performance. My academic background combines economics, finance, statistics, and computer science. I hold a degree in Finance, where I developed a strong foundation in Finance, Statistics, Macroeconomics, and Marketing, followed by a Master's in Business Informatics and an MSc in Complex Systems and Networks. I am also pursuing doctoral-level research in Network Science and Predictive Analytics, focusing on machine learning, statistical modelling, predictive methods, and the analysis of complex financial, economic, and social systems. Beyond my formal education, I have worked with psychometric datasets involving professional NBA players and have developed an R Shiny application using archetypal analysis to identify and visualize different EuroLeague player profiles. These projects demonstrate my ability to apply quantitative methodologies to specialized and multidisciplinary research problems. I have also contributed to the R programming community as an author for R-exercises, publishing tutorials and exercises covering R packages such as Shiny, ggplot2, ggvis, and R Markdown, alongside machine learning methodologies. My experience with R, Python, SQL, statistical modelling, data visualization, and BI tools allows me to approach analytical problems from both a technical and research-oriented perspective. I believe my combination of eight years of freelance experience, professional AI and data science work, and academic research makes me particularly well suited to projects that require analytical thinking, accuracy, critical evaluation, and the ability to work with complex instructions. I am comfortable reviewing outputs, identifying inconsistencies, assessing quality, documenting findings, and making revisions to meet demanding standards. I am available for up to 40 hours per week and can start immediately. I would welcome the opportunity to contribute my experience and technical skills to your project and build a long-term professional collaboration. Best regards,