Experienced Data Analyst & Data Scientist | Web Developer | Digital Marketing Consultant
As an experienced and highly skilled professional, I possess intimate knowledge of web development, and I am a seasoned R and Python programmer as well as a SQL developer. With a comprehensive background in IT consulting, data analysis, and support, I have successfully delivered exceptional solutions for clients.
Additionally, I am also a Google and DataCamp certified data analyst and a data scientist, which reflects my dedication to honing my skills and staying updated with industry best practices.
My diverse skill set and ability to leverage an extensive array of technologies allow me to provide valuable insights and develop sophisticated data-driven solutions, leading to growth and
profitability.
SKILLS
- Data Analysis: Descriptive Statistics, Exploratory Data Analysis, Data Visualization, Factor Analysis (Exploratory and Confirmatory)
- Data Science: ANOVA Models (ANOVA/ANCOVA/MANOVA), Generalized Linear Models (i.e., logistic, poison, ordinal, etc.),
Path Analysis and Structural Equation Modeling, t-test, Hierarchical/Multilevel Regression Models, Supervised Machine Learning Algorithms (Linear Regression, Logistic Regression, Decision Trees, etc.), Unsupervised Machine Learning Algorithms
- Web Development: HTML, CSS, Javascript, React, GitHub.
- Digital Marketing: Search Engine Optimization & Search Engine Marketing, Google Tag Manager, Google Ads, Google Analytics, Facebook Business Manager, Hubspot.
- IT Support: Endpoint Manager, Teamviewer, CA DSM Explorer, Linux, Wireshark, Active Directory, Microsoft Office
TECH STACK
Data Analysis and Data Science:
- Python
- R
- Stata
- SAS
- Jupyter Notebook or RStudio
- Pandas, NumPy
- Matplotlib, Seaborn, Plotly
- Scikit-learn
- Statsmodels
- SEM software (AMOS, lavaan)
- Git
Web Development:
- HTML5, CSS3, JavaScript
- React, Angular
- VS Code
- Node.js
- PostgreSQL & BigQuery
- Git, GitHub
Digital Marketing:
- Google Analytics, Google Tag Manager
- Google Ads, Facebook Business Manager
- SEO tools (SEMrush, Ahrefs, Moz)
- Marketing automation tools (HubSpot)
- A/B testing tools
IT Support:
- Endpoint Manager, SCCM
- TeamViewer
- Linux
- Active Directory
- Microsoft Office Suite
Geography and GIS:
- ArcGIS, QGIS
- GeoDa
LANGUAGES
- Native Speaker: English
- Professional Proficiency: German
- Beginner to Intermediate: French, Portuguese & Norwegian
PROJECTS
Data Analysis & Data Science:
- An Analysis of the World's BRT Systems, an analysis with R.
* Exploratory Data Analysis on Bus Rapid Transport systems across the world.
- What Your Heart Rate is Telling You, an analysis with R.
* Used multiple logistic regression to handle the confounding effects of age and gender.
- A Visual History of Nobel Prize Winners, an analysis with R.
- An Analysis of International Debt Statistics with SQL
- Kidney Stones and the Simpson's Paradox, an analysis with R.
* Used multiple logistic regression to help the doctors determine if there is a difference between the two treatments.
- Predicting Movie Similarity using Movie Summaries, an analysis with Python
* Using hierarchical clustering to recommend movies based on similarity.
- New York Uber Rides, an analysis with R.
* Insights from publicly available data on Uber trips in New York City
- COVID-19: From an epidemic to a global pandemic, an analysis with R.
- Dr. Semmelweis and the Discovery of Handwashing, an analysis with R.
* An analysis of the data backing one of the crucial discoveries in modern medicine: handwashing.
- Which Debts Are Worth a Bank's Effort? An analysis with Python.
* Used regression discontinuity to determine which debts are worth collecting by a bank.
- Most Important Characters in Game of Thrones. An analysis with Python.
* Used network analysis to determine the most important characters in the critically acclaimed show: Game of Thrones. P.S: The North Remembers.
- Heart Disease & Potential Risk Factors, an analysis with R.
* Ran statistical tests and regression models using the Cleveland heart disease dataset to assess one particular factor: maximum heart rate one can achieve during exercise and how it is associated with a higher likelihood of getting heart disease.
- The GitHub History of Scala Language, an analysis with Python.
* Reviewing the Development of Scala.
- Recreating Jon Snow's Ghost Map, an analysis with Python.
* Recreating Jon Snow's Ghost Map During London's Cholera Outbreak in 1854.
Web Development:
- Coffee Shop
* Built with React
- Rock, Paper, Scissors!
* Game built with JavaScript
- Calculator App
* Utility App built with JavaScript.
You can find all of my work and projects on my GitHub. For a more comprehensive overview of my skills and experience, please visit my website: jeffreyohene.github.io