Cynthia.
I build data solutions
A passionate data professional. I make use of modern technologies to address real-world issues. In my spare time, I enjoy reading, swimming and long road trips.
Hi, my name is
About Me
I am a data professional with a passion for building visualizations and machine learning applications. I have a background in biochemistry, computer science, and data science, and I have a strong interest in the intersection of technology and art. I am currently working as a Business Intelligence Analyst at Teck in Calgary, AB.
Current project: Build a data application that helps consumers define, track, share and analyze their metrics and KPIs.
Here are a few skills and technologies I've been applied recently:- Power BI + DAX
- Microsoft Azure
- SQL
- Web scrapping & ETL
- Python
- Data visualization
- R
- Predictive modeling
- Databricks
- Data applications
Experience
I am currently working as a BI analyst, building interactive data tools to optimize business operations within the mining maintenance units.
I designed, built and deployed predictive regression models that quantified the efficacy of client’s curriculum on brain development in children.
- Created backend data and machine learning pipelines for prediction.
- Built and deployed front-facing data application using Dash and Plotly on AWS.
I mined, ingested and analyzed data from the CDC and U.S. Census to determine the effects socio-economic factors have on racial disparities in maternal mortality and deployed results on GitHub and Tableau.
- Built automated data and ETL pipelines to mine, ingest and model data from the CDC and U.S. Census platforms using REST APIs
- Communicated project results to a diverse audience (over 250 people, with technical and non-technical backgrounds)
I applied machine learning algorithms (regression, clustering) to study the relationships between several diseases including cancer. Results were used as starting points for industry projects and are currently being published.
Education
2019 - 2022
Master of Science in Computational Chemistry
University of Lethbridge
GPA:
3.9 out of 4.0
Notable Achievements
- Presented my work at the Canadian Chemistry Conference and Exhibition
- Contributed to open-source projects to build bioinformatics python packages
Bachelor of Science in Biochemistry
University of Lethbridge
GPA:
3.7 out of 4.0
Notable Achievements
- First place in synthetic biology competition (iGEM 2018)
- Being part of the collegiate swim team
Featured Projects
Web scraping
SQL
Data analysis
Data visualization
Investigating the Global impact of COVID-19
Visualizing the global devastation brought about by the COVID-19 pandemic, as well as the policies countries around the world employed to battle to the virus. .
Data application
SQL
Google Cloud
Data visualization
Data Analytics for Business Management
Building a relational database and front-facing dashboard to help a restaurateur manage his sales, inventory and staff.
Python
Plotly
Dash
Data visualization
E-cycling and scooting in Calgary
A data application visualizing the use of electric bicycles and scooters in Calgary following the 2019 launch.
Skills
Domain Knowledge
Data Gathering, Data Integration, Data Wrangling, Data Validation, Feature Engineering, Agile & Scrum Practices, Business Intelligence, Requirements Gathering, Data Solutions & Applications
Data Science & M/L
Microsoft and Google Suites, Pandas, Numpy, Matplotlib, Scikit, Seaborn, Plotly, Dash, Flourish, Tableau, BeautifulSoup, Requests, Power BI, DAX
Programming & Cloud DevOps
Python, SQL, R, Jupyter, Linux, CLI, Git/GitHub, Streamlit, Docker, Apache Spark, Databricks, AWS, MS Azure, GCP