AI-driven analytics • Python • SQL • Power BI • Tableau • REST APIs
Focused on data modernization, governance, and public-sector decision support
@MarlainnaTheAnalyst
Python (Pandas, NumPy, Scikit-learn) ★ SQL ★ Power BI ★ Tableau ★ Plotly Dash ★ Excel (Pivot Tables, VLOOKUP, Charts) ★ Data cleaning ★ Transformation ★ ETL basics ★ APIs & RESTful data handling ★ Git/GitHub ★ Data storytelling
Certified Entry-Level Python Programmer (PCEP) – Python Institute ★ Data Analyst I Professional Certificate – JCCC ★ Data Science Certificate – General Assembly + Intuit
Modernized a legacy store-management workflow into a secure, modular RESTful service using Python and Flask-Smorest. Containerized with Docker to ensure reproducibility, environment consistency, and test integrity.
AI & Modernization: Demonstrates transition from static logic to service-based architecture.
Governance & Trust: Schema validation, endpoint documentation, containerized testing.
End-to-end machine learning project using public health data to identify statistically significant risk factors and generate predictive insights.
AI & Modernization: Feature engineering and supervised learning transform static datasets into predictive intelligence.
VAULTIS: Validated inputs, reproducible notebooks, documented assumptions, no PII.
Leadership Insight: Enables proactive intervention instead of reactive reporting.
Developed a supervised machine learning model to forecast urban transportation demand. By analyzing weather patterns and temporal data, the model identifies key drivers of ridership for Capital Bikeshare.
Public Sector Impact: Provides data-backed insights for urban infrastructure planning and fleet optimization.
Technical Focus: Multivariate Linear Regression, feature engineering (handling multicollinearity), and time-series data preparation.
Governance: Rigorous EDA and feature selection to ensure model interpretability and statistical validity.
Analyzed U.S. government employment trends using Bureau of Labor Statistics data, correcting time-series distortions via DAX and date modeling.
Federal Relevance: Policy-ready workforce insights.
Leadership Takeaway: Identified non-cyclical hiring surges and operational implications.
Built an interactive Power BI dashboard analyzing U.S. government employment trends using Bureau of Labor Statistics data, applying DAX measures and date modeling to ensure accurate time-series reporting.
Federal Relevance: Policy-ready workforce monitoring through standardized, reproducible dashboard metrics.
Leadership Takeaway: Enabled leaders to distinguish cyclical fluctuations from structural, non-cyclical hiring patterns and assess operational impact.
Designed executive-facing dashboards translating complex datasets into clear operational insights.
Federal Relevance: Supports leadership briefings and stakeholder communication.
Governance: Standardized metrics, documented assumptions.
Analyzed 40 years of revenue data to highlight the shift from physical to digital formats.
Governance: Cleaned data, validated totals, documented assumptions.
Storytelling: Executive-ready historical context and trend interpretation.
End-to-end Power BI project demonstrating interactive dashboard creation, DAX-based calculated measures, and data modeling. Includes combo charts, tooltips, maps, gauges, and infographics.
Technical Focus: Power BI Desktop, DAX, data modeling, interactive visualizations, and dashboard storytelling.
Governance & Analytics: Validated tables, calculated fields and formatting best practices.
End-to-end BI workflows including Power Query transformations, data modeling, and KPI-driven reporting.
Governance: Reusable functions, validated transformations, modeling best practices.
Built a full ETL and analytical pipeline using core Python only (CSV, defaultdict, namedtuple).
Trust: Explicit missing-value handling and reproducible metrics.
"I don't just analyze data; I've lived the stories behind the rows and columns."
I work on the front lines helping customers every day, solving problems and finding solutions. Alongside that, I’ve built real skills in data analytics—Python, SQL, Tableau, Power BI—and applied them to projects that turn data into insights. I bring the same focus, persistence, and problem-solving from my customer work to analyzing data. I’m looking for a role where I can combine hands-on experience with data skills to make an impact.
"Bringing data stories to life through AI-generated videos."
Skilled in creating professional short videos for TikTok, Reels, and LinkedIn using Canva for design and animation, MidJourney for AI-generated visuals, and Fliki for AI voiceovers and final video assembly.
This skill allows me to communicate insights and concepts in a highly engaging, visual format. Videos can integrate animated charts, data-driven storytelling, and cinematic AI visuals.
Click to play AI video example on TikTok
Open to federal, public-sector, and mission-driven analytics opportunities.