About Me
I specialize in Python development, data analysis, and machine learning, with experience building automated workflows, predictive models, and interactive dashboards that turn complex data into clear, actionable insights. My background includes leading development projects, streamlining data processes, and collaborating across teams to improve efficiency and deicision-making.
Outside of work, I enjoy tackling side projects that blend problem-solving with creativity. I like to experiment with small scale automation tools and new technologies. I’m always looking for opportunities to learn, grow, and apply my skills in a dynamic environment.
** This was in education details but it doesn’t show up on screen? **
During my time at the UMD I was exposed to a multitude of tools. Because of this, I am confidently able to quickly adapt to a new environment.
My studies at the University of Maryland, College Park, honed my skills in information science and data management, focusing on programming, statistical analysis, and ethical data use. I gained expertise in designing databases, developing web applications, and applying user-centered design. Through coursework in computing infrastructure, security, leadership, and advanced data science, including machine learning, I built a strong foundation for creating innovative, responsible solutions to complex data challenges.
Experiences
As the Lead Developer and Project Manager for the iConsultancy’s Data Transformation project, I led a student team in converting raw Qualtrics survey data into interactive Tableau dashboards. I managed the project by assigning roles, delegating tasks, writing automated Python scripts for data processing, assisting in visualization development, and documenting all processes for future reusability.
- Managed a team of 5 students
- Developed an automated Python script for data cleaning, data transformation, and data dictionaries
- Documented and delivered a detailed implementation plan for reusability and sustainability
- Received incredible feedback
As Quality Assurance Intern at Stand Together, I rigorously tested the data pipeline from web forms to Snowflake data lake, uncovering a significant reporting issue between test and production traffic. I collaborated with the IT development team to resolve bugs, documented detailed test cases and outcomes for efficient troubleshooting, and conducted extensive regression testing to verify code changes had no adverse effects.
- Uncovered significant data reporting issue between test and production traffic
- Rigorously tested the data pipeline from Web Forms to Snowflake data lake
- Collaborated closely with the IT development team to resolve any bugs
- Documented detailed test cases and outcomes to facilitate efficient troubleshooting
- Conducted extensive regression testing to verify code changes did not have adverse effects
Certifications
PCEP – Certified Entry-Level Python Programmer certification is a professional credential that measures the ability to accomplish coding tasks related to the essentials of programming in the Python language.
A test candidate should demonstrate sufficient knowledge of the universal concepts of computer programming, the syntax and semantics of the Python language as well as the skills in resolving typical implementation challenges with the help of the Python Standard Library.
PCEP – Cetified Entry-Level Python Programmer shows that the individual is famiiar with universal computer programming concepts like data types, containers, functions, conditions, loops, exceptions, as well as Python programming language syntax, semantics, and the runtime environment.
Older certification. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam eget orci purus. Nullam ultrices neque nibh. Aenean fermentum, felis vulputate suscipit accumsan, sem enim bibendum augue, sed convallis arcu lacus at dui. Pellentesque et nibh suscipit, vestibulum turpis eu, semper tortor. Praesent felis nibh, eleifend id eleifend id, dictum id enim. Praesent venenatis erat non augue suscipit consectetur.
Projects
You can list your side projects in this section. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum et ligula in nunc bibendum fringilla a eu lectus.
Recommendations
I would be delighted to write you a letter of recommendation, especially since your work during the capstone was of such excellent quality. I’m thrilled to share that your proposed process is already being implemented–that’s a testament to the impact of your contributions.
Another recommendation!
He is a great employee!