π Senior Member of Technical Staff with a focus on analytics and machine learning
π« Currently studying Computational Data Analytics at Georgia Tech
π Based in Texas
π§ Email: sega97@gmail.com
π LinkedIn
π¨βπ» GitHub: SantiagoEnriqueGA
Blending deep experience in data analytics, machine learning, and software engineering, I transform data into actionable insights and innovative solutions.
- Senior Member of Technical Staff - AT&T, Dallas, Texas (Present)
- Broadband Advanced Analyst - AT&T, Dallas, Texas
- Metrics Reporting Analyst - AT&T, Dallas, Texas
- Data Implementation Analyst - IHS Markit, Dallas, Texas
- Software Developer - ServiceNow - Sabre Corporation, Southlake, Texas
- Languages: Python, R, SQL, C, Java, JavaScript
- Libraries: Pandas, NumPy, Scikit-learn, Keras, PyTorch, PySpark
- Analytical Tools: Power BI, Tableau, Palantir
- Certifications: Advanced Data Science IBM Specialization, Advanced Machine Learning and Signal Processing, Applied AI with DeepLearning, Fundamentals of Scalable Data Science
- Master of Science in Analytics (Computational Data Analytics Track) - Georgia Institute of Technology
- Bachelor of Science in Information Technology and Systems - The University of Texas at Dallas
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Rental Pricing Dashboard - ISYE 6414 Regression Analysis
- Developed an XGBoost model for predicting apartment rental prices with a MAE of 47.90.
- Led data collection, aggregation, and model fine-tuning for optimal accuracy and robustness.
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Conway's Game of Life - Personal Project
- Implemented Conway's Game of Life using Pygame for graphics and Numpy for array operations.
- Developed multiple versions with enhancements such as optimized drawing, pause/resume functionality, and user interaction improvements.
- Created various screens for user settings and controls, including start menu, wrap options, glider configurations, and game world size settings.
- GitHub Repository
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Semantic Artist Similarity Analysis - Personal Project
- Analyzed artist similarity using the Semantic Artist Similarity (SAS) Dataset.
- Implemented Python scripts (SAS_networkx.py) for building and analyzing artist similarity networks using NetworkX and visualizing them with Plotly.
- Created an HTML file (SAS_D3.html) for interactive visualization of the network using D3.js.
- Explored functionalities such as parsing data, network metrics calculation, furthest connectivity analysis, and shortest paths.
- GitHub Repository
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Used Car Data Scraping and Analysis - Personal Project
- Created class for automatically scraping data from Cars.com using BeautifulSoup.
- Created pipeline to scrape data on several vehicle models, clean and analize the data.
- GitHub Repository
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Custom Clustering - Personal Project
- Created classes for KMeans and DBSCAN from scratch using only numpy for array processing.
- Custom classes allow for use of multiple clutering evaluation measures: elbow method, Silhouette Score, Davies-Bouldin Index, Calinski-Harabasz Index.
- Done in order to understand the workings of clustering algorithms, and how to fit them to specifit datasets by building them from scratch.
- GitHub Repository
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Custom Ensemble Learning - Personal Project
- Created class for creating random forest classifiers and regressors, and class for gradient boosted decision tree classifiers, regressors.
- Created in base python using only numpy for speedy array processing.
- Done in order to understand the workings of ensemble learning algorithms, and how to fit them to specifit datasets by building them from scratch.
- GitHub Repository
- Dallas CASA (Court Appointed Special Advocates) (2021 - Current)
- Co-Recruitment Chair, Delta Tau Delta Fraternity, UT Dallas (2016 - 2020)