I'm Anthony Lewis AKA Nero, a data analyst and data science graduate student focused on transforming complex datasets into clear, actionable insights through analytics, visualization, and statistical analysis.

See below this bio for my projects ⬇️

My background combines business analytics, survey analysis, dashboard development, and Python based data science projects across healthcare, market research, revenue operations, and customer analytics environments.

I’m currently pursuing a Master’s in Data Science and previously earned a Bachelor’s degree in Psychology with a focus on research and industrial/organizational psychology. My academic background helped shape the way I approach analytics from a technical perspective and from the standpoint of understanding behavior, trends, decision-making, and communication.

Professionally, I’ve worked in:

• revenue operations analytics
• market and client analytics
• reporting automation
• business intelligence
• survey and KPI analysis

Across roles at Millennium Systems International, Circana, and Cengage, I’ve built dashboards, automated reporting workflows, validated datasets, analyzed trends, and translated analytical findings into business-facing insights for stakeholders.

I enjoy projects that sit at the intersection of:

• analytics
• storytelling
• research
• visualizationstatistical interpretation

• Python
• SQL
• R (basic/intermediate)
• DAX
• Power Query

• Power BI
• Tableau
• Looker Studio
• Excel

• Pandas
• NumPy
• Matplotlib
• Seaborn
• SciPy
• Scikit-learn
• Statsmodels

• Salesforce
• Tableau Prep
• Snowflake
• Qualtrics
• Google Analytics 4
• HubSpot
• Databricks (familirity)

I’m especially interested in:

• survey analytics
• business intelligence
• healthcare analytics
• predictive modeling
• statistical testing
• customer behavior analysis
• data storytelling
• visualization and dashboard design

I enjoy taking raw or messy datasets and turning them into structured insights that are easier to understand and act on.

Some of the projects featured below include:

• Healthcare patient satisfaction survey analysis (HCAHPS)
• Interactive Power BI dashboards
• Statistical A/B testing
• Sentiment analysis using machine learning (natural language processing)
• Multiple Linear Regression (MLR) modeling
• Marketing and customer analytics
• Predictive analytics projects using Python

These projects focus heavily on:

• exploratory data analysis (EDA)
• survey analysis
• KPI development
• statistical interpretation
• predictive modeling (NLP included)
• business-focused insight communication

⬇️ My featured repositories and project work are listed below this bio.

• Master’s in Data Science (in progress)
• Bachelor’s in Psychology
• Google Advanced Data Analytics Certificate
• Tableau Desktop Specialist

Right now, I’m focused on continuing to strengthen my:

• Python analytics workflows
• statistical analysis skills
• machine learning projects
• survey and business intelligence reporting
• end-to-end dashboard development

while building a portfolio centered around real-world analytical and business problems.

I’m always open to:

• analytics opportunities
• collaboration
• data discussions
• dashboard and reporting projects
• market research and survey analysis work

Feel free to connect or reach out.