Stephanie N. Anyama - Data & Business Intelligence Analyst
Hi! I'm Stephanie.
I'm a Data & Business Intelligence Analyst with experience in driving measurable business impact through advanced analytics and data visualization.What sets me apart? I combine technical expertise (Tableau, Power BI, SQL, Python) with clinical analytical rigor from my medical training to deliver insights that matter.
Technical Skills:
Business Intelligence and Data Visualization (Advanced): Tableau, Microsoft PowerBI, Figma
Programming & Analysis (Advanced): Python (NumPy, Pandas, Matplotlib, Plotly, Seaborn), SQL (MySQL, PostgreSQL)
Cloud and Data Engineering (Intermediate): Snowflake, AWS Redshift, DBeaver
Methodologies: A/B Testing, Data Modelling, Data Storytelling
Projects: Business Dashboards in Tableau
I have designed and built cutting-edge, informative dashboards across healthcare, finance, aviation, and many other industries. I am proud to have received 4 Tableau #VizOfTheDay Awards for my work.
Hospital Emergency Department Dashboard: My very 1st #VizOfTheDay was this comprehensive ER performance analysis of patient flow, wait times, rosters, and satisfaction metrics.
Investment Portfolio Dashboard: This dashboard, my 2nd #VizOfTheDay, tracked $87M+ in multi-asset portfolio performance with real-time transaction monitoring across stocks, ETFs, and commodities
Airline Alliance Activity Dashboard: My 3rd #VizOfTheDay was this interactive aviation analytics tracker for over 1,400 flights and 300k passengers across multi-airline operations in 5 regions.
Wind Energy Utilization Dashboard: This dashboard, my 4th #VizOfTheDay, is a report on wind turbine capacity, performance, and utilization in 5 wind farms within the Netherlands.
Projects: Data Querying and Modelling in SQL
I have wrangled and modelled data, and performed exploratory data analysis using advanced, clearly-written, optimized SQL queries across e-commerce, finance, and several other industries.
Data Mart: From Green Gamble to Red Numbers: In this project, I analyzed, quantified (1.15% sales loss), and compared the impact of large-scale changes to sustainable packaging on the sales metrics at Data Mart before and after they were introduced.
Data Bank — Where SQL Queries were My Deposits: I supported the management team at Data Bank to increase their total customer base and to track just how much data storage their customers will need, in line with their transaction histories.
Foodie-Fi’s Recipe for Subscription Success: Here, I described each customer's onboarding journey and created a new, detailed payments table for the year 2020. This was to ensure all future investment decisions and features were implemented using data.
I Ran Pizzas and Queries — Here’s What I Delivered: This project was to primarily clean very messy data and optimize Pizza Runner’s runner and customer experience, ingredients, pricing, and ratings.
Projects: ETL, Data Modelling in
Python
I am versed in gathering, assessing, and cleaning data and building functional ELT/ETL pipelines for several business use cases using Python.
A Data-Driven Guide to Your Next Read: In this review of 550+ of Amazon's Bestsellers from 2009 to 2019, I took up the challenge of investigating what factors actually correlated with commercial success.
The Role of Africa in Reducing World Hunger: In this project, I sought to find out the trends in African food production and supply using FAO data, between 2004 and 2013. I also aimed to describe how Africa can contribute to reducing world hunger.
A Twitter Sentiment Analysis Of Rihanna’s Superbowl Halftime Performance: Rihanna's 2023 comeback performance generated massive social media buzz. I analyzed Twitter data to measure authentic public sentiment—what did people actually think?
About Me:
I started in medicine (MBBS, University of Lagos) where I developed exceptional analytical thinking and pattern recognition skills. I realized my passion was using data to improve systems, not just treating individual patients.I transitioned to data analytics and have now provided value to companies across several internships and full-time roles, and contributed to capacity building by engaging with local data communities and giving public speaking appearances.My unique strength is that I combine clinical analytical rigor with technical expertise to see patterns others miss and communicate insights that drive action.