About Me

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About Me

Personal Details

I am a recent graduate from the University of North Carolina at Charlotte with a strong background in statistics, machine learning, and data analysis. Proficient in Python, R, and SQL, with a proven track record of delivering actionable insights and solutions to complex business problems. Seeking a challenging role in a dynamic organization where I can leverage my skills and experience to drive business growth.

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There are several reasons why I decided to pursue a career in data science. Data science is a fascinating field that blends the worlds of computer science, mathematics, and statistics. As a data scientist, I have the opportunity to work with vast amounts of data and use advanced analytical techniques to extract insights and create impactful solutions.

Moreover, data science is a field that is rapidly growing and evolving. With the advent of new technologies and the increasing importance of data-driven decision making across industries, data scientists are in high demand. This demand for skilled data scientists provides numerous opportunities for career growth and development.

In terms of my ideal job as a data scientist, I envision a role where I can work on challenging problems that have real-world implications. I would love to work in a collaborative and diverse team environment, where I can learn from and collaborate with other talented data professionals. Additionally, I would like to have the freedom to explore and experiment with new data science tools and techniques and have the support and resources to continuously improve my skills.

Ultimately, my ideal job as a data scientist would allow me to make a meaningful impact on the world while continuously growing and learning in a dynamic and exciting field.

Skills Expertise

1 - Basic 2 - Novice 3 - Intermediate

4 - Advanced 5 - Expert

Machine Learning

Data Pre-Processing / Feature Engineering - 5

Machine Learning Algorithms (Scikit-Learn, Statsmodels) - 4

Natural Language Processing - 3

Data Analytics

Statistical Analysis and Modeling (R, Python, SAS) - 5

Data Visualization / Reporting (Matplotlib, Seaborn, Tableau)- 4

Data Cleaning / Transformation (SQL, Pandas, Numpy) - 4

Professional Experience

Career Highlights.

Any Questions?

Why did you make this website?
I created and deployed this website on a private DigitalOcean server so that I could learn more about web app design and back-end development.

In the future I will use this website as a nesting ground for web-based computer vision and NLP models. Though I don't expect it to be anything more than a portfolio site, I strongly suspect that these skills will be crucial to technological development in the years to come.

How long have you been practicing machine learning?

I began studying machine learning at the University of North Carolina at Charlotte in 2021. Since then, I have immersed myself in data science communities on Medium and across the web.

I have rich experience in building machine learning solutions for NLP tasks. I have built models to assist in sentiment analysis, demographic clustering, and topic modelling.

Do you have any experience working with databases?

I have hosted and deployed my own MySQL database with this website. I have a intermediate knowledge of SQL queries, and have had experience working with AWS and GCP database servers through SSH.

By renting servers from DigitalOcean, GCP, and AWS I have been able to develop my own back end production environment. I believe that data scientists who can own every step of the ML lifecycle will be invaluable in the coming years..

Why are you interested in NLP / machine learning?

I am curious by nature. Machine learning and natural language processing are both excellent tools to understand the world better.

Despite the hype over integrating AI into existing technologies, the implementation of machine learning (especially NLP) is still in its infancy. This field is the wildwest, and I want to work with the pioneers and innovators that create new and amazing things.

What kind of work do you see yourself doing?

I am interested in building modular machine learning applications that can communicate with existing production systems.

I describe my perfect future position to be a mix of data science, machine learning engineering, and devops. Essentially a machine learning specialist with the skills to deploy a model to production.