SOMETIMES I CODE.
But the majority of my work these days revolves around & Software Architecture and Systems Design. While working on their official public company website, Trampoline needed an administrative WebApp, whose function would be to manage all things administrative as related to the school, the application process, the curriculums, staff, instructors, docs, and most importantly it's students and applicants
TRAMPOLINE ADMIN WEBAPP
Below is an example of a simple 3-tier WebApp with Authentication and a PostgreSQL database, Ruby on Rails backend, and a Bootstrap front-end. Trampoline is a new era educational company that offers both in-person and online courses in Design Principle, Web & Software Development, Digital Marketing, and Blockchain Technology. While working on their official public company website, Trampoline needed an administrative WebApp, whose function would be to manage all things administrative as related to the school, the application process, the curriculums, staff, instructors, docs, and most importantly it's students and applicants Follow me on Youtube to learn more about Data Structures and Algorithms and Software Engineering in general.
Bootstrap, Sass, Ruby on Rails, PostgreSQL, [Heroku]public repo: https:github.com/digitalfrank/trampoline_admin
click the screen to visit the appusername: testuser / password: testpassword
Cutting your teeth, sharpenig your sword. Whatever they call it. I've been doing this for a while now. I've worked on some pretty cool projects. Here are a few of them... But before we get into that, let me tell you a little bit about my journey into the world of Data Engineering. Consulting is where I got my start. And I wouldn't have had it any other way. This is the best way to learn the ropes, and maybe the best thing that happened in my career. I want to give a big shout out to the folks at Cognizant for giving me the opportunity to really pick up industry best practices as a result of working on some amazing projects. Similarly, big ups to Publicis Sapient for affording me the opportunity to be exposed to and to contribute to a number of enterprise data architectures and ecosystems.
INTEGRATED BUSINESS PLANNING
Modern Data Engineering powers AI. Take a look at this full scale data enigneering effort for a fortune 50 consumer goods company. This project was called IPB (Integrated Business Planning) and revolved around Supply Chain and Demand Forecasting for the company's products. Some fancy business terms "S&OP" and "S&OE" were thrown around. Essentially the company wanted to know how much of their products to produce, where to produce them, and how to distribute them. Our ETL data pipelines powered an ML algorithm for weekly demand forecasing and inventory management. The project was a success and the company was able to save millions of dollars in the first year of implementation. Click on the Github link below if you'd like to explore the code base
[ Hadoop ], [ Pig ], [ Hive ], [ Python ], [ R-Studio ], [ Microsoft Azzure ]public repo: https://github.com/DIGITALFRANK/IBP/tree/master
Though the above project is mainly orchestrated in Azure Data Factory witht he help of some RDBMS configuration tables, Databricks and PySpark were leveraged extensively for the data processing and transformation. Below is another example of such orchestration, a DAG (Directed Acyclic Graph ) of a simple Delta Live Streaming Table pipeline within Databricks
The same type of data task orchestration can be achieved with an open source tool like Apache Airflow. Here is an example of a DAG showing dependencies for a fairly more complex data pipeline.
The Data Engineering landscape is vast and ever changing. There are many components of an ETL (Extract, Transform, Load) pipeline or a larger data ecosystem that have to be addressed. Different project goals, processes and architectures require different technologies for the job. Here are a few of the tools and services that I have worked with in the past to deliver for my clients. Don't forget to check out Resilient Group for more on Data Engineering and Big Data Consulting.
ARTIFICIAL INTELLIGENCE FOR ADTECH
Using Unsupervised Machine Learning, specifically the K-Means Clustering Algorithm, we are able to perform Market Segmentation for Ad Spend attribution using transaction data. Vivamizzle i saw beyonces tizzles and my pizzle went crizzle enim, mofo ac, dignissim a, tellivizzle vel, doggy. Nulla elit. Donec ghetto, est izzle pharetra aliquet, magna erat ultricizzle funky fresh, non crazy brizzle gangsta quis nibh. Mofo crunk neque, ultrice
Using Unsupervised Machine Learning, specifically the K-Means Clustering Algorithm, we are able to perform Market Segmentation for Ad Spend attribution using transaction data. Vivamizzle i saw beyonces tizzles and my pizzle went crizzle enim, mofo ac, dignissim a, tellivizzle vel, doggy. Nulla elit. Donec ghetto, est izzle pharetra aliquet, magna erat ultricizzle funky fresh, non crazy brizzle gangsta quis nibh. Mofo crunk neque, ultrice
Using Unsupervised Machine Learning, specifically the K-Means Clustering Algorithm, we are able to perform Market Segmentation for Ad Spend attribution using transaction data. Vivamizzle i saw beyonces tizzles and my pizzle went crizzle enim, mofo ac, dignissim a, tellivizzle vel, doggy. Nulla elit. Donec ghetto, est izzle pharetra aliquet, magna erat ultricizzle funky fresh, non crazy brizzle gangsta quis nibh. Mofo crunk neque, ultrice
[ Hadoop ], [ Pig ], [ Hive ], [ Python ], [ R-Studio ], [ Microsoft Azzure ]
CONPUTER VISION - OBJECT DETECTION
This was a fun and interesting final project for an intro course during my Masters of Science in Applied Artificial Intelligence at the University of San Diego. Da bomb erat volutpat. Vivamizzle i saw beyonces tizzles and my pizzle went crizzle enim, mofo ac, dignissim a, tellivizzle vel, doggy. Nulla elit. Donec ghetto, est izzle pharetra aliquet, magna erat ultricizzle funky fresh, non crazy brizzle gangsta quis nibh. Mofo crunk neque, ultrice
This was a fun and interesting final project for an intro course during my Masters of Science in Applied Artificial Intelligence at the University of San Diego. Da bomb erat volutpat. Vivamizzle i saw beyonces tizzles and my pizzle went crizzle enim, mofo ac, dignissim a, tellivizzle vel, doggy. Nulla elit. Donec ghetto, est izzle pharetra aliquet, magna erat ultricizzle funky fresh, non crazy brizzle gangsta quis nibh. Mofo crunk neque, ultrice
[ Hadoop ], [ OracleDB ], [ Java ], [ JDBC ], [ AWS ]public repo: https://github.com/DIGITALFRANK/AAI501
I am no Product Manager, but I have a keen eye for design and a passion for creating beautiful and functional products. I think of myself as a Product Designer. I have worked on a number of projects in the past, and 3 major aspects of Product Design are always at the forefront of my mind. These are: Brand Identity, Product Features, and Design Systems. My strategy is to approach a product from the end user's perspective. I ask myself, "What is the user's problem?" At the same time, I put on my CEO hat as I am always thinking about the business goals and objectives. "How can we solve the user's problem and meet the business goals?" It is also critical to think about the product's competition. "How can we differentiate our product from the competition?"
BRAND IDENTITY
In order for a great digital product to exist, a unique brand identity must serve its purpose. tellivizzle vel, doggy. Nulla elit. Donec ghetto, est izzle pharetra aliquet, magna erat ultricizzle funky fresh, non crazy brizzle gangsta quis nibh. Mofo crunk neque, ultrice
Creativity and visualization of concepts, along with problem-solving have always come naturally to me. Over the past 10 years, I have worked very hard to gain a high skill level in design by principle, along with software development and architecture. The front-end was the apple of my eye. Then, somewhere between 2017 - 2018, I completed 2 highly acclaimed and rigourous Software Development Intensives (and countless other certifications), as well as a Data Engineering Apprentichip, where I was able to put industry and professional best-practices to the test on various projects. Over the last four years, I have freelanced, interned, and worked at various companies, start-ups, and on one-off projects. I currently work as a Data Engineer at Cognizant. I speak fluent Javascript, Ruby, Python, PHP, and Java. I also can pick up whatever language you may require in a relatively short time. In my spare time :D, I run a design studio and a digital agency of my own, where I am the principal "everything". I've done work for past clients in the likes of Huge, Inc, Grey Goose, Moēt & Hennessy, and Puma. I've been called a "high potential"... I agree, but maybe the word "potential" should not be in the dictionary.