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Driven and curious researcher with a passion for financial markets and investment analysis. Skilled at handling large data sets and writing code to solve problems. I have considerable experience across domains in Finance - Derivatives, FX, Equity Research, Data Analysis, Performance Evaluation within Portfolio Management, Python programming along with Content Writing and Teaching. I am an independent researcher who leverages my vast skillset to effectively deliver value to my clients.

As an expert in Economics and Data Scientist, with a Ph.D. and 5 years of experience in data science, machine learning, and data analysis, I bring a unique skill set to analyze, interpret, and communicate complex issues effectively. My background in economics, combined with my expertise in Python, R, SQL, STATA, Power BI, and machine learning libraries such as TensorFlow, Keras, and sci-kit-learn, equips me with a deep understanding of both the theoretical and practical aspects of economic analysis, data manipulation, statistical analysis, and machine learning models. Throughout my 5 years of experience, I have honed my skills in data management, statistical analysis, forecasting, data visualization, machine learning, and deep learning. My experience spans various industries, including finance, healthcare, and public policy. Additionally, my role as a product manager has further developed my ability to bridge the gap between technical teams and business stakeholders, ensuring that products are aligned with market needs and strategic goals. My Ph.D. in Economics has provided me with advanced training in economic theory and econometrics, allowing me to develop rigorous and robust economic models. I am highly motivated, with excellent analytical and problem-solving skills, and I am well-versed in both qualitative and quantitative research methods. I am a strong communicator, with experience presenting findings to both technical and non-technical audiences. Overall, I am confident that my skills and experience would be a valuable asset to any organization, and I am eager to continue contributing to the fields of economics, forecasting, data science, and machine learning.

I help enterprises transform complex data into executive-ready insights using Power BI, Microsoft Fabric, Tableau ,Databricks, Azure, and AI-powered analytics solutions. With 9+ years of experience across Healthcare, Aviation, Government, and Enterprise Analytics, I specialize in building scalable BI ecosystems that improve decision-making, operational visibility, and business performance. Based in Dubai, UAE, I have worked on enterprise-grade analytics initiatives involving: • Executive dashboards & KPI reporting • Microsoft Fabric implementation • Power BI architecture & optimization • Databricks + PySpark data pipelines • AI-driven analytics & anomaly detection • Data transformation & automation • Enterprise reporting modernization • Tableau I don’t just build dashboards — I help organizations create data strategies that drive measurable business outcomes. What clients typically hire me for: ✔ Executive & C-level dashboards ✔ Enterprise Power BI solutions ✔ Microsoft Fabric architecture ✔ AI-powered analytics & predictive insights ✔ KPI framework design ✔ Performance optimization for slow reports ✔ Data engineering & ETL modernization ✔ Azure + Databricks analytics ecosystems Why clients work with me: • Strong business understanding, not just technical execution • Ability to communicate with both leadership and technical teams • Enterprise-grade dashboard design standards • Focus on ROI, usability, scalability, and performance • Trusted experience across regulated and high-volume industries If you're looking for a consultant who can bridge business strategy, AI, and enterprise analytics — let’s connect.

⭐𝗘𝗫𝗣𝗘𝗥𝗧-𝗩𝗘𝗧𝗧𝗘𝗗 𝗧𝗢𝗣-𝟭% 𝗢𝗡 𝗨𝗣𝗪𝗢𝗥𝗞⭐ Trusted by Microsoft, Oliver Wyman & 800+ Clients Data Analytics Professor, Statistician, Data Analyst/Scientist. ✅Unlimited revisions ✅Clear explanations ✅Well-documented code ✅ Actionable insights ✅Fixed fee 𝘼𝘽𝙊𝙐𝙏 𝙈𝙀: 🏅 Top-Rated Plus & Expert-Vetted — officially ranked in the top 1% of data analytics professionals on Upwork. Recognized for consistent delivery, expert quality, and client satisfaction across 800+ projects. 🧭 Principal Data Science Consultant at Oliver Wyman (Marsh McLennan Group, Fortune 500) — I execute strategic analytics initiatives supporting forecasting, compliance, risk modeling, and executive-level decision-making. 📊 Former Lead Analyst for a global market research firm — directed quantitative analysis for multinational clients including Heinz, Tuborg, and Valio, delivering insights that drove commercial strategy. 🧰 Developer of advanced analytical tools and custom modeling techniques — blending statistical theory with real-world business utility to solve complex problems. 📚 Published researcher in peer-reviewed journals — covering topics in statistics, marketing analytics, and applied data science. My work is grounded in rigor, relevance, and reproducibility. 🌐 Trusted data consultant and advisor to businesses, research labs, and doctoral candidates worldwide — delivering actionable insights using tools like R, Python, Stata, SPSS, EViews, Excel, and more. 🚀 Bridge between business context and technical modeling — combining domain knowledge with predictive analytics to deliver interpretable, high-impact models that drive results. 𝙈𝙔 𝙎𝙀𝙍𝙑𝙄𝘾𝙀𝙎: ✔️ Data analysis/data science/predictive modeling for business and research purposes using methods from data mining/machine learning (Gradient Boosting Machines, Random Forest, LASSO, KNN, SVM, etc.), econometrics, and statistics (including, but not limited to, medical statistics, biostatistics, epidemiological statistics, and neuroscience data analysis) ✔️ Survival Analysis (Cox proportional hazards model, Kaplan-Meier statistics, etc.) ✔️ Simulation and Forecasting ✔️ Developing Shiny Apps for data science/business analytics ✔️ Causal inference (propensity score matching, regression discontinuity design (RDD), difference-in-difference (DID) estimation, event studies) ✔️ Quantitative market research data analysis (including CHAID, CART, conjoint analysis, regression analysis, ANOVA, multilevel modeling, Van Westerndorp's Price Sensitivity Meter (PSM), Market Basket Analysis, attribution modeling, marketing mix modeling, and other advanced techniques) ✔️ Statistical consulting/tutoring on using R (ggplot, tidymodels, tidyverse, Shiny, etc.), Python, Stata, SPSS, EViews, Statistica, JMP, Weka, and Excel ✔️ Geospatial data ✔️ US Census data ✔️ Analysis of Euromonitor/Statista.com data 𝙂𝙀𝙏 𝙔𝙊𝙐𝙍 𝙁𝙍𝙀𝙀 𝙌𝙐𝙊𝙏𝙀 𝘼𝙉𝘿 𝘼𝙉𝘼𝙇𝙔𝙎𝙄𝙎 𝙋𝙇𝘼𝙉: ✉️ 𝗣𝗹𝗲𝗮𝘀𝗲, 𝗳𝗲𝗲𝗹 𝗳𝗿𝗲𝗲 𝘁𝗼 𝘀𝗲𝗻𝗱 𝗺𝗲 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝘁𝗼 𝗴𝗲𝘁 𝗮𝗻 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗽𝗹𝗮𝗻 𝗮𝗻𝗱 𝗮𝗻 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲𝗱 𝗳𝗲𝗲. 𝗧𝗼 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗻𝘀𝗲𝘀 𝟭𝟬𝟬% 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲, 𝗜 𝗰𝗮𝗻 𝗮𝗹𝘄𝗮𝘆𝘀 𝗽𝗿𝗼𝗽𝗼𝘀𝗲 𝗮 𝗳𝗶𝘅𝗲𝗱 (𝗳𝗹𝗮𝘁) 𝗳𝗲𝗲 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗮𝗻 𝗵𝗼𝘂𝗿𝗹𝘆 𝗿𝗮𝘁𝗲. 𝘾𝙇𝙄𝙀𝙉𝙏 𝙏𝙀𝙎𝙏𝙄𝙈𝙊𝙉𝙄𝘼𝙇𝙎: ✔𝗝𝗼𝗯 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝘀𝗰𝗼𝗿𝗲: 𝟭𝟬𝟬% ✔𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗿𝗮𝘁𝗶𝗻𝗴: 𝟱.𝟬/𝟱.𝟬 ✔𝟳𝟬𝟬+ 𝗷𝗼𝗯𝘀 𝗛𝗲𝗿𝗲 𝗶𝘀 𝗮 𝘀𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝗿𝗲𝘃𝗶𝗲𝘄𝘀 𝗹𝗲𝗳𝘁 𝗯𝘆 𝗺𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀. 𝗖𝗵𝗲𝗰𝗸 𝘁𝗵𝗲 "𝗪𝗼𝗿𝗸 𝗛𝗶𝘀𝘁𝗼𝗿𝘆" 𝘀𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗽𝗿𝗼𝗳𝗶𝗹𝗲 𝗳𝗼𝗿 𝗵𝘂𝗻𝗱𝗿𝗲𝗱𝘀 𝗼𝗳 𝗼𝘁𝗵𝗲𝗿 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝘁 𝗿𝗲𝘃𝗶𝗲𝘄𝘀 𝗮𝗻𝗱 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝘁𝗶𝘁𝗹𝗲𝘀. ⭐⭐⭐⭐⭐ “Eugene is trusted by Microsoft and always delivers enterprise-grade results.” ⭐⭐⭐⭐⭐ “Brilliant modeling, transparent reporting, and business-ready insights.” ⭐⭐⭐⭐⭐ “My go-to expert for statistical clarity and technical depth.” ⭐⭐⭐⭐⭐ “One of the best analytics professionals on Upwork.”

Skills Summary: Proficient in Python, R, SQL, and LaTeX. Expert in machine learning, deep learning, and natural language processing, with extensive experience in clustering, data visualization, and econometrics. Skilled in statistical and time series analysis, proficient with version control systems, web scraping, and big data technologies. Background: - Bachelor's in Mathematics and Statistics from Newcastle University, UK - Advanced studies in Data Science at the University of Warsaw, Poland. Experience: - Currently a Data Scientist-Algo Trader Model Developer at a fintech startup, enhancing trading strategies and developing a flexible backtesting framework. Innovations include optimizing Moving Average parameters across S&P 500 sectors, refining the Squeeze Pro Strategy for improved returns and signal accuracy, and crafting a Generalized Backtesting Framework to customize strategy optimizations based on specific performance metrics. - Over three years at Citibank, advancing from an intern to Assistant Vice President in Algo Trading. Led over 20 cross-assets model validation projects, including rigorous testing and implementation of alternative models.