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TECHNICAL SKILLS

 

📊 Advanced Analytics & Statistical Tools

  • SAS: Base SAS, Macro, SQL, STAT, ODS, Graph, ACCESS, CONNECT, Enterprise Guide (EG), Enterprise Miner, Business Intelligence, Studio, DS2, ETL, PC SAS. Completed SAS® 9.4 Certification Prep: Programming Essentials, Accessing Data, Preparing Data, Using SQL.

  • R / STATA: Expertise in advanced data manipulation, time series (ARIMA), GLM, ARDL, Logit & Probit models, survey analysis, and forecasting for economic modeling.

  • Statistics Foundations: Strong skills in probability, econometrics, meta-analysis, regression, and economic forecasting.

🐍 Python & Machine Learning

  • Python libraries: NumPy, SciPy, Pandas.

  • Applied Machine Learning: Logistic & Linear Regression, Decision Trees (SPSS), ML Foundations, Hands-on GPTs.

  • Text & NLP: Chunking large documents, text extraction, prompt engineering for AI.

  • Scripting: Jupyter, IDLE, Perl scripting for automation tasks.

⚙️ Data Engineering & ETL

  • Databases: MS SQL Server — RDBMS/DBMS design, data mapping, ETL/ELT process management.

  • Databricks: Certified Data Engineer Associate track: Lakehouse Platform, Spark SQL & Python ELT, incremental processing, production pipelines, Unity Catalog, data governance.

  • Big Data Tools: Hadoop fundamentals, cloud data storage.

📈 Business Intelligence & Visualization

  • Tools: Power BI (Dashboards, Power Query, DAX), Tableau (2024.1 Essential), Excel (PivotTables, Macros, VBA).

  • Skills: Interactive dashboard design, advanced Excel analytics, query tools, automated forecasting.

  • Storytelling: Data visualization, infographic creation, dashboards vs. data stories.

🧩 Programming, Automation & Scripting

  • Languages: PL/SQL, HTML, XML, COBOL II, Korn Shell, Awk, Autosys.

  • Automation: Overnight batch jobs, regulatory flat file generation, quality checks.

  • VBA: Macros, process automation within Excel.

🚀 AI Productivity & Professional Skills

  • Microsoft Copilot: Word, Excel, OneNote, PowerPoint AI tools for productivity.

  • Generative AI: Llama 3, ChatGPT, GPT-4o time series forecasting, no-code AI workflows.

  • Professional Skills: Courses in communication, critical thinking, project management, impromptu speaking, and time management.

Continuously advancing technical expertise through modern training in cloud analytics, AI productivity, and next-generation data platforms.

📐 Quantitative Theory, Advanced Economic Modeling & Econometric Methods

✅ TECHNICAL SKILLS & MODELING EXPERTISE

📈 Macroeconomic Models

  • 📚 Core Dynamic Models: Solow-Swan Growth Model, Ramsey-Cass-Koopmans, Overlapping Generations (OLG), Endogenous Growth (Romer, AK, Learning-by-Doing), Neoclassical Stochastic Growth Model

  • 🔄 Business Cycle & RBC Frameworks: Real Business Cycle (RBC) Models, Dynamic Stochastic General Equilibrium (DSGE), New Keynesian Models, Overlapping Generations DSGE extensions

  • 💵 Monetary & Fiscal Models: IS-LM, Taylor Rule, Fiscal Policy with Distortionary Taxation, Ricardian Equivalence, Debt Dynamics, Liquidity Trap & Zero Lower Bound

  • 🌍 Open Economy Models: Mundell-Fleming, Intertemporal Open Economy (Obstfeld & Rogoff), Currency Crisis & Sudden Stops, Terms of Trade & Real Exchange Rates

  • 🧑‍💼 Labor & Unemployment: Search & Matching (Mortensen-Pissarides), Efficiency Wage, Involuntary Unemployment (Shapiro-Stiglitz), Phillips Curve

  • 🎯 Expectations & Microfoundations: Rational Expectations, Representative vs. Heterogeneous Agents, OLG with Money, Financial Frictions (Bernanke-Gertler, Kiyotaki-Moore)

  • 🌿 Additional Topics: Growth & Development Traps, Behavioral Macroeconomics, Sovereign Debt & Default, Climate IAMs (Nordhaus DICE), Social Security PAYGO, Optimal Policy & Commitment

📊 Econometric & Statistical Models

  • 🧩 Basic & Classical: Classical Linear Regression (OLS), Generalized Least Squares (GLS), Weighted Least Squares (WLS), Instrumental Variables (IV), Two-Stage Least Squares (2SLS), Generalized Method of Moments (GMM), Maximum Likelihood Estimation (MLE)

  • ⏳ Time Series: AR, MA, ARMA, ARIMA, Unit Root Tests (ADF, Phillips-Perron), Cointegration (Engle-Granger, Johansen), Error Correction Models (ECM), Vector Autoregression (VAR), Structural VAR (SVAR), ARCH & GARCH, State Space Models, Kalman Filter

  • 📚 Panel Data: Fixed Effects (FE), Random Effects (RE), Pooled OLS, Difference-in-Differences (DiD), Dynamic Panels (Arellano-Bond GMM), Panel Cointegration (Pedroni, Kao)

  • 🔗 Limited Dependent Variables: Logit & Probit, Ordered Logit & Ordered Probit, Multinomial Logit & Probit, Tobit, Heckman Selection

  • ⚙️ Advanced & Specialized: Simultaneous Equations (SEM, 3SLS, LIML), Seemingly Unrelated Regression (SUR), Quantile Regression, Duration/Survival Models (Cox, Weibull), Count Data (Poisson, Negative Binomial), Nonparametric & Semiparametric, Bayesian Econometrics (MCMC, Gibbs Sampling), Machine Learning (LASSO, Ridge, Random Forests)

  • 📐 Theory Foundations: Asymptotic Theory, Robust Estimator Properties

🎓 Microeconomic Theory & Game Theory

  • 🛍️ Consumer Theory: Preferences & Utility, Indifference Curves, Budget Sets, Marshallian & Hicksian Demand, Expenditure Minimization, Duality, Slutsky Equation, Revealed Preference, Demand Aggregation

  • 🏭 Producer Theory: Production Sets & Technology, Isoquants, Production Functions, Returns to Scale, Cost Functions, Profit Maximization, Cost Minimization, Shephard’s Lemma, Envelope Theorem

  • 🔒 Choice Under Uncertainty: Expected Utility, Risk Aversion, Stochastic Dominance, Insurance & Risk Sharing, Portfolio Choice, Subjective Probability, Prospect Theory

  • ⚖️ General Equilibrium: Edgeworth Box, Walrasian Equilibrium, Welfare Theorems, Pareto Efficiency, Core Convergence, Arrow-Debreu Model, Comparative Statics

  • 🌱 Market Failure & Externalities: Externalities, Public Goods, Free-Rider Problem, Coase Theorem, Club Goods, Common-Pool Resources

  • 🔍 Information Economics: Asymmetric Information, Adverse Selection, Moral Hazard, Principal-Agent Models, Signaling & Screening, Mechanism Design, Revelation Principle

  • 🌐 Welfare & Social Choice: Social Welfare Functions, Arrow’s Impossibility Theorem, Rawlsian vs. Utilitarian, Equity-Efficiency Trade-offs, Fair Allocation

  • ♟️ Game Theory: Static Games (Normal-Form, Dominant Strategies, Nash Equilibrium), Dynamic Games (Extensive-Form, Subgame Perfect Equilibrium, Backward Induction, Repeated Games, Folk Theorem), Games of Incomplete Information (Bayesian Games, Bayesian Nash Equilibrium, Signaling Games), Advanced Topics (Evolutionary Game Theory, Correlated Equilibrium, Cooperative Game Theory, Core, Shapley Value, Bargaining, Auction Theory, Mechanism Design)

🧰 Programming & Data Tools

Proficient with Python, R, STATA, SAS, MATLAB, SQL, ArcGIS, Tableau, Power BI

Machine Learning

Econometrics

Statistics

ArcGIS

Python Programming 

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SAS Programming

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Matlab & Octave

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Mountain Fog

R programming

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STATA

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Other Softwares

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