Tianna Parris

Overview

I'm a Data Analyst based in Jamaica. A lot of my time is spent catering to my 2 lovely cats, visting the beach and learning new things online. My innate curiousity lead me to field of Data Analytics where I fell in love.

I've always been fascinated by numbers, and working in data analytics has been a long-term goal of mine. My career in the customer-facing field and analytical background in Biochemistry has taught me to think strategically about problems and identify solutions. I am on track to completing my degree in Data Science (MS. Data Science).

I have developed a strong foundation in the life sciences and a passion for using data to uncover meaningful insights. I am excited to bring my technical and analytical skills to the field of data. During my studies, I honed my ability to work with complex data and developed a keen eye for identifying patterns and trends. I also gained experience in laboratory techniques, data management, and statistical analysis, which I believe will be valuable assets in my role as a Data Analyst.

In my free time, I enjoy exploring new data analysis tools and techniques, and I am always looking for opportunities to expand my knowledge and skills. Whether working on a team or independently, I am driven by the thrill of discovering new insights and the satisfaction of using data to solve complex problems. I am confident in working with large datasets, extracting meaningful insights, and communicating my findings effectively to both technical and non-technical audiences using dashboards.

Skills

  • Languages: Python, R, SQL, HTML, CSS
    • Python: Pandas, NumPy, Matplotlib, Seaborn, SciPy, BeautifulSoup, Selenium, DateTime.
    • SQL: Create, Alter, Insert, Select, Update, Merge, Drop, Truncate, Delete, Joins, CTE, Temp Tables, Indexes, Windows Functions, Aggregate Functions, Views, Stored Procedures.
    • R: Tidyverse.
  • Excel: Pivot tables, formulas (V-Lookup and others), data validation, and conditional formatting.
  • Databases: SQL Server, MySQL, PostgreSQL, MS Access
  • BI Tools: Tableau, Power BI
  • Data Modelling: MS Visio, Lucid Chart
  • Documentation Tools: Confluence, JIRA, Trello
  • Other: Project Management, AWS

Education

University of Colorado, Boulder: Master of Science - MS, Data Science, Dec 2022 - Dec 2024

Certifications

Contact information