Back in 2014, I saw the need to pivot my career upon learning about Generative Adversarial Networks. This took me on a wild journey as I transited first by working in the areas of search engine optimization, and eventually landed a role as a technical editor for a Polish IT startup. These two roles allowed me to build my understanding in the software development lifecycle, agile methodologies, as well as digital marketing.
I eventually transited into the role of a digital consultant in 2018 where my projects were focused on the development of digital transformation programs. Some of these digital transformation programs eventually evolved from data collection and measurement programs into analytic processes where I first started applying classical machine learning techniques with low-code solutions. These were applications in market research for customer segmentation as well as churn prediction from web analytics behavior.
I am currently a Masters candidate at the Georgia Institute of Technology and will begin my new role as an artificial intelligence engineer at the end of 2021.
| Project Description | Access |
|---|---|
| Operationalizing Machine Learning with Azure ML | Github |
| Optimizing a Machine Learning Pipeline in with HyperDrive | Github |
Completed Coursework (As of September 2021):
| Course Number | Course Name | Tech Stack |
|---|---|---|
| ISYE6501 | Introduction to Analytics Modeling | R, Python, Arena |
| CSE6040 | Computing for Data Analysis | Python, SQL, HTML |
| MGT6203 | Data Analytics in Business | R |
Remaining Coursework:
| Course Number | Course Name | Tech Stack |
|---|---|---|
| CSE6250 | Big Data Analytics for Healthcare | Python, Hadoop Hive, Hadoop Pig, Scala, Spark |
| CSE6242 | Data and Visual Analytics | JavaScript, Python, SQL, Tableau, Azure, AWS |
| ISYE6644 | Simulation and Modeling | Arena |
| ISYE6414 | Regression Analysis | R |
| ISYE7406 | Data Mining and Statistical Learning | R |
| ISYE6740 | Computational Data Analytics | Python, MATLAB |
| MGT8823 | Data Analytics for Continuous Improvement | Minitab |
| MGT8813 | Financial Modeling | Excel |
| Course Name |
|---|
| Accounting: Fundamentals, Revenues and Expenses, Financial Statements, Working with Ratios |
| Managerial Accounting |
| Microeconomics: Supply and Demand, Markets and Externalities |
| Macroeconomics: Economic Fluctuations, US Fiscal and Monetary Policy, International Trade |
| Regression Analysis |
| Advanced Statistical Inference |
| Organizational Behavior, Structure and Culture |
| Theories of Leadership, Business Ethics and Social Responsibility |
| Marketing Fundamentals, Mechanics |
| Pricing Fundamentals and Price Segmentation |
| Finance: TVM, Capital Structure, The Modigliani-Miller Theorem |
| Capital Budgeting and Modern Portfolio Theory |
| Valuation: Discounted Free Cash Flow, Equity & Market Evaluations |
| Project Mnaagement |
| Operations Management: Fundamentals, Supply Chain Management, Forecasting |
| Strategy: Business-Level, Corporate-Level, and International |
| Certification | Provider | Date |
|---|---|---|
| Azure Data Fundamentals | Microsoft | June 2021 |
| Azure Data Scientist Associate | Microsoft | May 2021 |
| Azure AI Fundamentals | Microsoft | April 2021 |
| Lean Six Sigma Yellow Belt | Technical University of Munich | July 2020 |