Flu Season Staffing
Analyzed flu season morbidity and mortality data to effectively allocate staff to various US regions. Tools used included Excel and Tableau.
My background includes experience as an R&D food scientist and training in data analytics.
Drawing on my expertise as a food scientist, a highly quantitative field, I bring a unique perspective to data analytics. My ability to interpret complex data, solve problems, and conduct detailed
analyses are highly transferable to the data analytics realm. Additionally, collaborating with diverse companies in the food and supplement industry has sharpened my ability to turn data into
actionable insights and to communicate these insights clearly and effectively. My natural artistic abilities and grasp of design principles allow me to present these insights in a visually impactful and engaging manner.
In summary, my background has made me a complete package: skilled at analytics, communication, and delivering key insights stakeholders care about.
Skills
Excel
pivot tables, charts & graphs, formulas, filtering, sorting, conditional formatting, Power Query, data validation, descriptive statistics, statistical tests
Tableau
dashboards, visualization, SQL integrationm, forecasting, data analysis
Power BI
data cleaning, data transformation, reports, visualization, DAX, table relationships, data modeling
SQL
MYSQL, PostgreSQL, tables, views, constraints, triggers, aggregate functions, HAVING clause, WHERE clause, consistent syntax, GROUP BY, JOINS, CTEs, subqueries
Python
importing and exporting data, data types, data cleaning and tranformation, merging data, grouping, aggregating, NumPy, Pandas, Matplotlib, Scikit-Learn, Plotly, Chart Studio, charts & graphs, 3D visualization, geospatial analysis, basic machine learning
Other
IDEs, text editors, GitHub versioning
About Me
Growing up in the South and Midwest instilled in me a deep appreciation for nature, agriculture, and the outdoors. Not to mention, it turned me into
a proud cat mom and a certified squirrel whisperer.
When working, I’m a planner by nature and believe that clarity and precision are critical for successful data analysis. When presenting insights or recommendations, I strive to tailor my approach to the audience, ensuring that they understand the
implications and the next steps. This skill set makes me a strong asset to any data analytics team.An ideal work environment for me is one that promotes an inclusive and collaborative atmosphere where talented individuals can work together
to achieve shared goals. I value a culture of mutual respect and trust, where everyone is focused on achieving collective success.
Instacart Customer Segment Analysis
Looked at customer segment data to help guide more effective marketing and advertising strategies. Tools used included Python, Excel, and PowerPoint.
Natality: Birth Weight & Gestation
Explored mother demographic factors leading to abnormal birth weight and gestation in the United States. Tools used included Python and Tableau.
SQL Database for a Food Company
Created a normalized database for a fictitious food company with automated features using constraints and triggers. Tools used included MySQL.
Midwestern US Drought & Crops
Examined which crops failed or thrived in drought conditions in the Midwest of the United States. Tools used included Power BI.
Movie Rental Company Transition
Analyzed past and current sales data to identify best strategies for transitioning to online sales. Tools used included PostgreSQL, Excel, and Tableau.