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Hello there! My name is @RasaiStewart, and I am thrilled to share my story with you. I am a two-time student of the year award winner, a graduate of Computer Science (AI) from Greenwich University with a strong background in IT and technology and a proven track record of success with two years of experience in IT and Technology and 12 years of experience creating social media posts about the latest technological advancements in different fields.

I am skilled in using Microsoft Excel, Power BI, PowerPoint, Word, Overleaf, Python, Java, Scheme, Prolog, HTML, CSS and JavaScript for backend, frontend and full-stack projects, incorporating artificial intelligence (AI) and machine learning (ML). As well as using libraries such as Django, TensorFlow, Keras and Pytorch. Not to mention using Integrated development environments (IDES) such as Pycharm, Racket and Visual Studio. This is illustrated through achieving a grade of 75% for writing coherent and well-structured user and technical documentation for creating an implementation of binary and linear search capable of searching through a list containing 999999999 items in under a nanosecond to solve an interview question I created using Python, a distinction for creating a cash flow forecast model I created in Excel, an aesthetically beautiful website I designed in visual studio and created and published using Wix and another webpage for a blog that I created using HTML, CSS and JavaScript.

At a recent employability day with Hearst UK, I developed an insight into the publishing industry by attending talks, asking questions and writing, editing and presenting a sales pitch for both a partnership and a new and innovative product. In a recent Internship with the Charity for Civil Servants, I created Overleaf presentations using information gathered from research I conducted into new and innovative technologies to facilitate virtual meetings and activities to increase audience engagement within the company. During another internship, I inspected, cleaned, transformed, and modelled data from a CSV file to extract insights into the locations of suspects from personal identifiers including information exchanges between suspects via text, email and social media Excel and Power BI to support decision-making and conviction.

In addition, my ability in scientific articles is illustrated through achieving a grade of 75% for writing a comprehensive and well-structured article outlining the advantages and disadvantages of cryptography in cryptocurrency with recommendations for improvements that can be made in the future through taking different approaches and using different algorithms with clear references and in-text citations.

My passion for technology is ever-evolving, and I'm enthusiastic about a range of fields, including cyber security, digital forensics, data science, Full-stack development, artificial intelligence (AI), machine learning (ML), research, cryptography, web development, web design, science and technology writing, editing, and journalism.

I am currently seeking opportunities to collaborate on exciting projects in web design/development, artificial intelligence (AI), machine learning, cyber security, data science, and scientific and technology writing projects on a freelance, part-time, contract or permanent basis. If you're looking for someone with a passion for innovation, excellent attention to detail, a strong work ethic, resilience, and a commitment to excellence look no further.

You can connect with me on GitHub, Dots, Facebook, Twitter, LinkedIn, or via email, and I would be happy to discuss how my design, programming and troubleshooting skills can benefit you and your team at any time.

Rasai Stewart's Projects

comparing_means_and_fitting_distributions icon comparing_means_and_fitting_distributions

In this report I will be assessing a treatment plan to evaluate the impact of a nutritional supplement on the weight of mice and rats, which will come from a randomly generated dataset. To do this I will be generating two datasets: one for mice and the other for rats. These datasets consist of 200 values before and after treatment. To compare the results. The tests I will be using will differ in terms of the types of tests that can be performed, as the mice will come from a normal distribution. Whereas, the dataset about rats will come from the Weibull distribution, which requires a non-parametric test. For this reason, I will be performing different tests for the hypothesis tests.

dask-tutorials-march2021 icon dask-tutorials-march2021

Tutorial I followed to learn about Dask, a parallel processing librariy in Python, during skills week. The tasks and my solutions can be found in the jupyter notebooks in this repository.

dragoncurve icon dragoncurve

Implementation of tthe dragon curve using turtle inspired by an article linked to Pycoders Weekly.

interview_question icon interview_question

I created an interview question and solution for my coursework at university. My interview question is 'Compare linear and binary search by finding a number from a randomly generated list of numbers and get a computer to sort it.

journey_planner icon journey_planner

Model software solution for a route planner of the London Underground tube system for use by the general public.

logisticregression icon logisticregression

Machine learning algorithm that performs logistic regression on the mnist dataset from Keras.

music-to-data icon music-to-data

The goal is turning data — random noise in this case — into music.

r-projects icon r-projects

Code I have written using R for coursework and in my spare time.

rasai-stewart icon rasai-stewart

I am a confident, enthusiastic and hardwork individual, who is committed to achieving goals set in an efficient and timely manner; develop new skills and learn new things. I prefer to work individually, but I am willing to work year as a team and participate . Also, I am prepared to overcome any challenges. I have an analytical and inquiring min; enjoy decision making, as well as problem solving.

simple-blackjack-card-counting-simulator icon simple-blackjack-card-counting-simulator

Card Counting means nothing more than guessing what or which cards could be in the shoe. There are a few techniques to guess the probable cards remaining. Many people who are experts in card counting claim that the player is more likely to win when there are cards worth 10 or 11 in the shoe. It reduces the chance of the house winning by 1%.

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