Lamont Webb
Tampa,FL
Summary
Data scientist and cybersecurity specialist with expertise in statistical modeling, machine learning, and threat detection. Proven ability to apply data-driven methodologies to address complex challenges in cybersecurity, public health, and operational analysis. Proficient in Python, SQL, and various data visualization tools, with a strong track record in building predictive models and enhancing system security. Five years of public health experience, including international exposure, has developed skills in epidemiological analysis and interdisciplinary collaboration.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Scientist
Altamira Corp
Tampa, FL
12.2022 - Current
- Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
- Conducted exploratory data analysis (EDA) to uncover hidden trends and develop predictive models for system vulnerabilities and intrusion detection.
- Implemented machine learning algorithms to classify and prioritize security incidents, enhancing incident response and minimizing false positives.
- Designed and maintained dynamic dashboards in Qlik, Palantir visualization platforms, and Power BI to visualize key business and security metrics, enabling real-time monitoring of operational and cybersecurity risks.
- Developed automated scripts and workflows for data collection, preprocessing, and integration with cybersecurity frameworks, streamlining data processes.
- Implemented data cleaning processes to ensure accuracy and reliability of datasets.
- Collaborated with cross-functional teams to define data requirements for projects.
- Created visualizations to effectively communicate findings to stakeholders, aiding in data-driven decision-making.
Epidemiologist
U.S Army
Camp Arifjan, Kuwait
02.2020 - 12.2022
- Developed predictive models to identify trends in communicable diseases, utilizing logistic regression and time-series analysis.
- Analyzed and interpreted epidemiological data using Python, R, and SAS to support public health decision-making.
- Analyzed epidemiological data to inform public health strategies and initiatives.
- Collaborated with military personnel to assess health risks and identify disease outbreaks, strengthening response efforts.
- Conducted field investigations to identify infection sources in military settings, informing targeted interventions.
- Presented health trend findings to military leadership, enhancing strategic decision-making.
- Designed dashboards and reports for health officials, improving data accessibility and enabling evidence-based interventions.
- Automated data collection pipelines to streamline surveillance processes and reduce manual data handling.
Education
Master of Cybersecurity -
Grand Canyon University
Phoenix, AZ08-2024
Master of Public Health - Epidemiology
Grand Canyon University
Phoenix, AZ09-2022
Data Science Certificate -
Thinkful
Online05-2022
Bachelor of Science - Health Sciences
Georgia State University
Atlanta, GA05-2017
Skills
- Python
- SQL
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- Hypothesis testing
- Predictive analytics
- Anomaly detection
- Machine learning
- Classification
- Hyperparameter tuning
- Dimensionality reduction
- Data imputation
- Hierarchical models
- Power BI
- Qlik
- Data governance
- Spatial statistics
- Network defense
- Ethical hacking
- Wireshark
- Metasploit
- Nmap
- Burp suite
- Cultural competency
- Data visualization
- Predictive modeling
- Data analysis
- Statistical modeling
- Intelligence gathering
- BI tools expertise
- Statistical analysis
- Time series analysis
- Dashboard design
Certification
- CEH certification
- Network defense certification
Projects
- Public Health Standards Analysis, Utilized CDC datasets to analyze demographic biases in public health standards. Employed Random Forest and Linear Regression models for predictive and exploratory analysis., Python, scikit-learn, Pandas
- Diabetes Prevalence Study, Conducted statistical analysis on CDC datasets to compare diabetes prevalence across demographics. Implemented T-tests and confidence intervals to determine statistical significance at a 95% level., Python, Matplotlib, Seaborn
Technical Skills
Python, R, SAS, SQL, scikit-learn, Pandas, NumPy, Seaborn, Matplotlib, Linear and logistic regression, hypothesis testing, predictive analytics, anomaly detection, hierarchical models, missing data imputation, Penetration testing, vulnerability assessment, intrusion detection, system hardening, incident response, threat modeling, network defense, ethical hacking, Wireshark, Metasploit, Splunk, Nessus, Nmap, Burp suite, Power BI, Qlik, Data governance, spatial statistics, machine learning (classification, hyperparameter tuning, dimensionality reduction), cultural competency
Timeline
Data Scientist
Altamira Corp
12.2022 - Current
Epidemiologist
U.S Army
02.2020 - 12.2022
Master of Cybersecurity -
Grand Canyon University
Master of Public Health - Epidemiology
Grand Canyon University
Data Science Certificate -
Thinkful
Bachelor of Science - Health Sciences
Georgia State University