Name: Data Analytics & AI - Tampa Bay - MARCH MEETUP
Start: 2025-03-12T18:00:00-04:00
End: 2025-03-12T19:30:00-04:00
Location: Entrepreneur Collaborative Center

Join us for our March 2025 Meetup!

Here are some details for this event:

**Hosted By:**
Dr. Tom Stablein, Program Director
[Global Online M.S. AIBA Program](https://www.usf.edu/business/graduate/ms-ai-business-analytics-global/index.aspx)
Muma College of Business, University of South Florida

**Purpose:**
For most businesses and organizations, data analytics and business intelligence is used to support mandatory business functions. For data scientists, the tools and technologies are ever-changing.

Join local experts in discussing current trends and topics in the analytics field, including AI and ML, data science, business analytics, systems design, database management, data mining, and more..

**Agenda:**
6:00pm-6:30pm – refreshments and networking
6:30pm-7:30pm – presentation and discussion
7:30pm-8:00pm – networking
[building closes at 8pm]

**Location:**
Entrepreneur Collaborative Center
2101 East Palm Avenue, Tampa FL 33605

**Parking:**
Please do not park in front of the ECC facility. \*\*Free parking is available in the lot located directly North of the ECC building.\*\*

**RSVP:**
Please RSVP early, since seating is limited to 60 attendees. If you intend to bring a guest, please have them RSVP separately, so we can plan refreshments.

**Cost:**
These events are provided at no cost to the local data analytics community, courtesy of the Global Online Master's of Science in Artificial Intelligence (AI) and Business Analytics program at the Muma College of Business, University of South Florida. For more info, visit [usf.to/global-msaiba](https://usf.to/global-msaiba).

Tom Stablein

Data Analytics & AI - Tampa Bay

Technology

Business Intelligence Tools

Business Intelligence & Data Warehousing

Data Analytics

Business Intelligence

Big Data

Data Visualization

Predictive Analytics

Data Mining

Business Analytics

Data Science

Data Warehouse

Artificial Intelligence Machine Learning Robotics

Artificial Intelligence Applications

Artificial Intelligence

Machine Learning

**About the Speaker:**

Ruslan Dubas is an IT professional with an MS in Business Analytics and Information Systems. He has extensive experience in database management, software development, and data analytics. Until recently, Ruslan worked as a Database Administrator and Software Developer at OnMed, where he developed Full-Stack Web Applications, Key Performance Indicators Dashboards, and led data migration projects. He also has experience as a Commercial Field Appraiser at the Sarasota County Property Appraiser Office, where he analyzed and appraised commercial real property. Ruslan is skilled in SQL, C#, Python, Postgres, SQL Server, Power BI, and AWS, and is known for his strong work ethic and ability to meet tight deadlines.

**About the Presentation:**

*Data Case Study: Predicting Outcomes of Single-Family Residential Home Same-Year Resales* 

This project aimed to predict whether single-family residential homes in Florida, resold within the same year, would result in a profit or a loss. Using data from the Florida Department of Revenue (FDOR) Assessment Rolls from 2009 to 2020, we built binary classification models to distinguish between profitable and unprofitable resales. 

The data, sourced from FDOR’s public records, comprised 68 files per year across Florida's 68 counties and was combined into a single SQL Server database table for analysis. We developed three machine learning models: Logistic Regression, Decision Tree, and Random Forest, chosen for their ability to measure the importance of input variables. Feature importance functions from the Scikit-Learn module were applied to identify the most significant factors affecting resale outcomes.

Ruslan Dubas,  Data Engineer, BoaLytics

Data Analytics & AI - Tampa Bay - MARCH MEETUP

Entrepreneur Collaborative Center

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Data Analytics & AI - Tampa Bay

Data Analytics & AI - Tampa Bay - MARCH MEETUP

Data Analytics & AI - Tampa Bay

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