Interactive Resume - brentthomasmartin.com

CV

Data Scientist/ Business Intelligence Analyst / UI/UX Designer

Dallas, TX 75243

Programming Languages:
- Python (Pandas, NumPy, Matplotlib)
  - Machine Learning: scikit-learn, Tensorflow, Keras
  - Alogrithms: Linear Regression, Decision Trees, Random Forests, Neural Networks
  - API Integration & Web Scraping: REST, JSON, BeautifulSoup, Scrapy
- SQL
- HTML, CSS, JavaScript
Data Analysis & Visualization Tools:
- Visualization Tools: Tableau, IBM Cognos, Looker
- Excel (VLOOKUP, HLOOKUP, VBA, Pivot Tables, Charts)
Database Management: BigQuery, Db2
Cloud Platforms: Google Cloud Console, AWS, Microsoft Azure

Mathematics: Linear Algebra, Calculus, Probability Theory
Statistics: Hypothesis Testing, Regression Analysis, Time-Series Analysis, ANOVA
Predictive Modeling: Decision Trees, Random Forests, Logistic Regression, Gradient Boosting
Machine Learning: Model Selection, Hyperparameter Tuning, Cross-Validation
Optimization: Gradient Descent, Regularization Techniques, Bayesian Optimization

Web Design: Responsive Web Design, Wireframing, Prototyping
Front-End Development: HTML, CSS, Javascript, WordPress, Elementor
Web Hosting: Domain Management, cPanel, DNS Configuration, SSL Certificates, Server Management
SEO Optimization: On-Page SEO, Google Analytics Integration

PENDING:

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Built predictive models for FAANG stocks (Amazon, Apple, Google, Meta, Netflix) using machine learning techniques like Random Forest, Gradient Boosting, and Neural Networks.
Tuned hyperparameters using GridSearchCV for optimal model performance.
Developed and deployed a backtesting system for trading strategies using the S&P 500 and leveraged ETFs like UPRO.

Deployed Long Short-Term Memory (LSTM) networks to capture time-series patterns for better predictions.

Utilized Python, pandas, scikit-learn, Keras, and TensorFlow for data preprocessing, model training, and evaluation.

Client : Personal Project

Date : September 2024

Category : Financial

Built a cloud RDBMS/data pipeline for ETL functions, integrating Google BigQuery (and other Cloud Console services) with various BI Tools (Tableau, IBM Cognos, Looker)
Utilized Python to analyze 350,000 rows and over 250 series of federal employment data to identify trends and draw insights from national employment data from the FRED database
Aggregated and visualized the data by using pandas, scikit-learn, statsmodels, and matplotlib to compile a professional report and dashboard

Client : Personal Project

Date : August 2024

Category : Economic/Financial

Register and manage domain names, maintaining web hosting accounts
Implement E-Commerce solutions and manage inventory
Utilize CSS, HTML, and JavaScript to enhance website functionality and design, including troubleshooting and repairs.
Develop graphics and digital content for marketing efforts and ensure SEO optimization and responsiveness across all device types.

Managed and coordinated large-scale IT projects, ensuring on-time completion by effectively scheduling phases and overseeing contractor performance
Designed and hosted websites, performed network installations, and remotely monitored client networks, enhancing system efficiency and security.
Oversaw AWS cloud infrastructure management, optimizing deployment and operational scalability.

Managed a portfolio of 200+ nationwide properties as a liason between banks and investors, ensuring effective oversight and coordination.
Ensured properties complied with municipal codes and conveyance standards for FNMA, GNMA, FHLMC, VA, and FHA financed properties.
Coordinated with banks to facilitate timely and compliant reconveyance processes, enhancing portfolio value and investor satisfaction.
Monitored and reported on property condition and compliance status to stakeholders, ensuring stringent adherance to federal regulations.