Obinna A.
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Data Scientist|Finance-Quantitative Researcher|Economist|Statistician

𝐓𝐎𝐏-𝐑𝐀𝐓𝐄𝐃 𝐅𝐑𝐄𝐄𝐋𝐀𝐍𝐂𝐄𝐑 𝐎𝐍 𝐔𝐏𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇 𝟏𝟎𝟎% 𝐉𝐎𝐁 𝐒𝐔𝐂𝐂𝐄𝐒𝐒. Economist, Statistician, Financial Modeler and Analyst, Quantitative Researcher & Data Analyst/Scientist. 𝐀𝐁𝐎𝐔𝐓 𝐌𝐄: I have over 10 years of experience as an economist, data scientist/analyst, financial modeller, quantitative researcher and academic. I have proven writing and editing skills in these fields, solid research skills, and a copious ability to absorb and separate large amounts of information to help clients reach meaningful conclusions. I hold a bachelor’s degree in economics and Statistics (top 5% in my graduation class and the best student in Econometrics) and a master’s degree in data science. I am about to start another master's in economics. 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒 𝐎𝐅𝐅𝐄𝐑𝐄𝐃 𝐁𝐘 𝐌𝐄: I have worked across different domains on and off Upwork over the past decade, including working for some multinational companies. The services that I offer include: 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: ✅ 𝖣𝖺𝗍𝖺 𝗌𝖼𝗂𝖾𝗇𝖼𝖾 and 𝗉𝗋𝖾𝖽𝗂𝖼𝗍𝗂𝗏𝖾 𝗆𝗈𝖽𝖾𝗅𝗂𝗇𝗀 𝖿𝗈𝗋 𝖻𝗎𝗌𝗂𝗇𝖾𝗌𝗌 𝖺𝗇𝖽 𝗋𝖾𝗌𝖾𝖺𝗋𝖼𝗁 𝗉𝗎𝗋𝗉𝗈𝗌𝖾𝗌 (Neural Networks, XGBoost, Random Forest, LASSO, KNN, SVM, Spline Analysis, Decision Trees, Ensemble Methods, Naïve Bayes, Discriminant Analysis, Linear Regression, Gaussian Process, GLM, K-Means clustering, Fuzzy C-Means clustering, Hierarchical clustering, Gaussian Mixture Models, Hidden Markov Models etc), econometrics, and statistics. ✅ Simulation (monte-carlo method) and forecasting (straight line methods, moving average method, exponential smoothing, trend projection). ✅ Developing Shiny Apps for data science/business analytics. ✅ Quantitative research and data analysis (including but not limited to CHAID, CART, Conjoint Analysis, Regression Analysis, ANOVA, ANCOVA, MANOVA, Multilevel Modeling, Market Basket Analysis, Attribution Modeling, Marketing Mix Modeling, Cluster Analysis, Curve Fitting, Descriptive Statistics, Design of Experiments, Nonparametric analysis, Quality Control, Survey Data etc). ✅ Statistical consulting on R, Python, Stata, SPSS, EViews, JMP, Minitab, Excel etc. ✅ Data utilized for work on my end include Geospatial data, Bureau of Labor Statistics data, Bureau of Economic Analysis data, St Louis Fed data, EIA data, data etc. ✅ Academic Teaching - Academic Tutoring on statistics and data science/data analytics encompassing the abovementioned methods and many more. I teach professionally, in addition to consulting. I am pleased to inform you that I have taught more than 2000 students in the last decade, both physically and remotely. 𝐅𝐢𝐧𝐚𝐧𝐜𝐞–𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠–𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡: ✅ Capital projects feasibility analysis based on Internal Rate of Return (IRR), Net Present Value (NPV), Payback Period, Discounted Payback Period, Modified Internal Rate of Return, Profitability Index. ✅ Business valuation models. ✅ Financial analysis (Profitability, Solvency, Liquidity, Cash Flow Analysis). ✅ Excel modelling, Dashboards and Calculators. ✅ Asset Allocation Modeling (Efficient frontier calculation). ✅ Business Valuation (Capital Asset Pricing Model, Weighted Average Cost of Capital, IRR, ROI, ROA). ✅ Ratios Analysis, Key Performance Indicators. ✅ Equity research. ✅ PowerPoint Presentations. ✅ Preparing financial and other reports. ✅ Macroeconomic overviews. ✅ Black-Scholes Model, Stochastic Differential Equations, Greeks, VaR. ✅ Mean-Variance Optimization techniques (Markovitz Theory). ✅ What-if Analysis and Technical writing on finance. ✅ Academic Teaching - Academic Tutoring on Finance and Financial modelling encompassing the topics listed above and more. I am pleased again to inform you that I have taught more than 1250 students in the last decade, both physically and remotely. 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜𝐬-𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: ✅ 𝖥𝗂𝗋𝗆, 𝖼𝗈𝗎𝗇𝗍𝗋𝗒, 𝗅𝖾𝗏𝖾𝗅, 𝗍𝗂𝗆𝖾 𝗌𝖾𝗋𝗂𝖾𝗌, 𝖼𝗋𝗈𝗌𝗌-𝗌𝖾𝖼𝗍𝗂𝗈𝗇𝖺𝗅, 𝗉𝖺𝗇𝖾𝗅 𝖽𝖺𝗍𝖺 manipulation (cleaning and merging). ✅ 𝖫𝗂𝗇𝖾𝖺𝗋 and non-linear 𝗋𝖾𝗀𝗋𝖾𝗌𝗌𝗂𝗈𝗇, 𝖯𝖺𝗇𝖾𝗅 𝖽𝖺𝗍𝖺 analysis, 𝖮𝗋𝖽𝗂𝗇𝖺𝗋𝗒 𝗅𝖾𝖺𝗌𝗍 𝗌𝗊𝗎𝖺𝗋𝖾𝗌 (𝖮𝖫𝖲). ✅ Qualitative Response Models: 𝖯𝗋𝗈𝖻𝗂𝗍, Logit and Tobit models. ✅ Time Series Econometrics: Autoregressive, moving average, ARIMA. Box-Jenkins Methodology, Vector Auto Regression. ARCH and GARCH modelling. ✅ Dynamic Econometric Models: Autoregressive and Distributed-Lag Models. Instrumental Variables. ✅ Simultaneous Equation Models: Indirect Least Squares, Two-Stage Least Squares. ✅ Academic Teaching - Academic Tutoring on Economics and Economic analysis encompassing the topics above. More than 1500 students have been taught by me. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python, R, SPSS, SQL, Stata, JMP, Excel, Google Sheets, Power BI, Tableau, Eviews, Minitab.

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  • Python
  • R
  • Deep Learning
  • Microsoft Excel
  • SQL
  • Machine Learning
  • Economics
  • Econometrics
  • Data Visualization
  • Data Mining
  • Tutoring
  • Statistics
  • ETL
  • Finance & Accounting