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About Me
👋🏽 Hi there, I'm Alfredo Serrano Figueroa, a passionate Data Science and Business Intelligence professional.
🎓 I graduated Summa Cum Laude with a BS in Big Data & Business Analytics from Suffolk University. During my time there, I not only honed my academic skills but also actively participated in extracurricular activities. Being a student-athlete, I embraced collegiate soccer and maintained a remarkable 4.0 GPA. My commitment to the Big Data Club as its president allowed me to nurture and grow a thriving community of data enthusiasts.
đź’Ľ Professionally, as a Data Science Consultant at Management Solutions, I've consistently focused on leveraging data for transformative business solutions. Whether it's innovating in a Climate Risk Project or optimizing processes in a Digital Transformation initiative, my mission remains the same: Drive impactful change through data-driven strategies.
🎙 Beyond work, my role as the host of The Analytics Experience podcast mirrors my passion for inclusive knowledge-sharing. I believe in breaking down complex technological concepts into accessible insights for everyone, irrespective of their linguistic or cultural background.
Technical Skills
Programming
Python (NumPy, Pandas, Scikit-learn, Matplotlib, Openpyxl)
SQL
R
Prompt Engineering
Softwares
Microsoft Excel
Power BI
Tableau
VSCode
R Studio
Jupyter Notebook
mySQL
MSSQL Server
ChatGPT
Statistics & ML
Statistical Modeling/Analysis
Machine Learning (Regression, Classification, Time Series, Hierarchical Clustering, K-NN, Decision Tree)
Project Management
Agile
Scrum
Microsoft projects
Jira
Confluence
Figma
Drag to Explore
RECENT DATA SCIENCE PROJECTS
Movie Recommendation Project – Python
OBJECTIVE:
After recent blockbusters like Spider-Man No Way Home, No Time to Die or Uncharted I wondered what would be the correlation between a movie’s budget and its success. To do this we will apply correlation models through Python in Jupyter Notebooks.
COVID 19 Study – Tableau / SQL / Data Visualization
OBJECTIVE:
Study the impact of COVID-19 on an international level and at the national level (US). For this analysis I obtained the dataset through the government’s CDC official page, then I proceeded to query it and mine it to obtain the necessary data points, this was done through Microsoft Data Studio using SQL. After the mining of data was done I aimed to create a visualization of the study through Tableau data viz software.
Sports Analytics: College Basketball/R Studio/ Visualizations/Trelliscope js
OBJECTIVE:
Understand how different statistical factors can make a college basketball team successful.
Sports Analytics – Using Python to create Spain’s ideal starting XI for the World
OBJECTIVE:
Model Spain’s most optimal starting XI based on the video game FIFA 22 data.
Airbnb 2019 - Analysis
OBJECTIVE:
To gain actionable insights from Airbnb’s 2019 NYC dataset. Enabling a deep understanding of guest preferences and booking trends, with the aim to identify potential opportunities for enhancing host listings performance and improving overall guest performance.
Champions League Analysis
OBJECTIVE:
The aim of this project was to conduct an in-depth analysis of the UEFA Champions League, focusing on various key performance metrics. Using Tableau, the project sought to uncover insights into the top players, clubs, and coaches in the history of the tournament. The analysis included metrics such as player appearances, club performances, all-time winners, goal statistics, coaching records, and country- wise title wins.
LinkedIn Analysis
OBJECTIVE:
The primary goal of this project was to uncover patterns among my LinkedIn connections, followers, and fans, as I am a content creator focusing on data science education. The analysis aimed to understand the impact of my content on network growth, engagement metrics, and job opportunities over the past two years.
Bank Analysis Dashboard
OBJECTIVE:
The primary goal of this project was to develop an advanced, visually engaging dashboard using Excel to analyze and enhance the understanding of a Boston-based bank's performance across its four branches. This tool aimed to amplify the bank's decision-making processes by offering comprehensive, data-driven insights.
Personal Fitness Tracking Project – PowerBI/PowerQuery
OBJECTIVE:
As a fitness enthusiast, I decided to track my steps along with running activity from my Huawei watch. The study started on May 10th and ended on the 8th of June. I decided to present a Power BI dashboard in order to have a quick overview of my exercise data
