MOSES G.
Lead Data Scientist
Houston,TX
Summary
Experienced Lead Data Scientist with 10+ years of expertise in developing data-driven strategies and innovative machine learning solutions. Skilled in building data pipelines, predictive modeling, and implementing data governance standards. Proficient in SQL, R, Python, AI/ML, Power BI, and diverse cloud platforms. Strong leader of cross-functional teams, utilizing strategic data analysis to optimize business operations.
Overview
11
11
years of professional experience
3
3
Certification
Work History
Data Science Manager
New York City Housing Authority
11.2019 - 05.2025
- Led a team of 5 data professionals to design and implement scalable data pipelines in AWS, reducing data processing time by 30% and enhancing data-driven decision-making for 200+ stakeholders.
- Increased operational efficiency by 30% by building robust SQL-based ETL systems that integrate data from Teradata, Oracle, and flat files using Python and Databricks.
- Created interactive dashboards in Tableau and Power BI using dimensional modeling (star schema), improving reporting turnaround for senior leadership by 35%.
- Implemented rigorous data quality controls and auditing frameworks to ensure compliance with organizational data governance standards.
- Collaborated with operations and finance teams to deliver strategic analytics solutions, driving a 15% increase in program efficiency.
- Managed multiple competing priorities effectively by setting clear goals, maintaining open communication channels, and fostering a collaborative work environment among team members.
Lead Data Scientist - Consultant
New York City Department of Environmental Protecti
10.2018 - 11.2019
- Developed spatial analytics dashboards using ArcGIS and Power BI to monitor and forecast waste disposal patterns and identify illegal dumping hotspots, resulting in a 20% improvement in enforcement response time.
- Built predictive models in Python and R to detect potential water main failures, improving maintenance prioritization and reducing emergency repair costs by 15%.
- Conducted longitudinal analysis of water quality metrics using SQL and R, supporting EPA reporting compliance and driving a 12% increase in early detection of contamination risks.
Educational Analyst
New York City Department of Education
09.2014 - 10.2018
- Improved student performance by 20% by conducting longitudinal performance analysis using Google tools and Microsoft Office Suite, optimizing curriculum strategies
- Designed A/B testing experiments to optimize curriculum strategies, resulting in a 25% increase in instructional efficiency.
- Improved internal knowledge sharing by developing comprehensive documentation outlining standard operating procedures for various tasks.
Education
Post-Graduate Certificate - Cloud Computing
The University of Texas at Austin
05.2025
Master of Science - Data Science
City University of New York
06.2018
Bachelor of Science - Statistics
University of Ilorin
06.2011
Skills
- Team Building
- Emotional Intelligence
- Conflict Resolution
- Negotiating
- Vulnerability Management
- Financial Modeling
- Analytical Thinking
- Attention to Detail
- Independent Thinker
- Ability to Learn Quickly
- Stakeholder Engagement
- Communication
- Revenue Growth
- Operation Research
- Technical problem solving
- Information Systems
- Strong Communication Skills
- Cross-Functional Team Leadership
- Coaching
- Python
- R Programming
- SQL
- Hive
- Git
- Docker
- Jupyter Notebook
- Deep Learning
- Predictive Modeling
- NLP
- A/B Testing
- Recommendation Systems
- Scikit-Learn
- TensorFlow
- Cloud Technologies
- Big Data Technologies
- Google Cloud
- AWS
- Azure
- Data Warehousing
- Scalable Data Pipelines
- SQL Optimization
- ArcGIS
- Data Governance
- Compliance
- Quality Assurance
- KPI Tracking
- Interactive Dashboards
- Data Visualization
- Power BI
- Tableau
- Looker
- Data Analysis
Certification
- Certified Power BI Associate, Microsoft, 10/01/23, Advanced expertise in dashboard development and business intelligence reporting.
- MTA: Database Fundamentals (T-SQL), Microsoft, 06/01/19, Proficient in SQL database management and data querying.
Awards
Recognized for Outstanding Leadership in mentoring junior data scientists and driving cross-functional collaboration at New York City Housing Authority.
Skills
Team Building, Emotional Intelligence, Conflict Resolution, Negotiating, Vulnerability Management, Financial Modeling & Billing, Analytical Thinking, Attention to Detail, Independent Thinker, Ability to Learn Quickly, Stakeholder Engagement & Communication, Revenue Growth, Operation Research, Technical problem solving, Information Systems, Strong Communication Skills, Stakeholder Engagement, Cross-Functional Team Leadership, Coaching, Emotional Intelligence & Conflict Resolution, Python, R Programming, SQL, Hive, Git, Docker, Jupyter Notebook, Deep Learning, Predictive Modeling, NLP, A/B Testing, Recommendation Systems, Scikit-Learn, TensorFlow, Power BI, Tableau, Looker, Data Analysis, Google Cloud (BigQuery, Bigtable, GCS), AWS, Azure, Data Warehousing, Scalable Data Pipelines, SQL Optimization, ArcGIS, Data Governance & Compliance, Quality Assurance, KPI Tracking, Interactive Dashboards, Data Visualization
Accomplishments
• Developed a predictive analytics pipeline using Python and Scikit-learn to identify high-risk properties for health and safety violations, based on historical inspection, complaint, and maintenance data.
• Integrated multi-source data using SQL and PySpark in Databricks, ensuring clean, scalable datasets for machine learning model training.
• Designed and published Power BI dashboards for operational managers and field inspectors to visualize risk levels across buildings, zones, and violation types.
• Built a forecasting model using R and AWS SageMaker to predict peak inspection periods and optimize inspector scheduling, improving field coverage and reducing overtime costs by 20%.
• Automated data extraction and cleansing using SQL scripts, enhancing the timeliness of inspection reports.
• Conducted clustering analysis to group buildings based on historical violations, population vulnerability, and inspection history to develop proactive inspection routes.
• Designed and implemented a financial forecasting system using predictive modeling (Random Forest, Linear Regression) to simulate various budget scenarios.
• Used Azure Machine Learning to deploy models and monitor performance in real-time.
Affiliations
- American Statistical Association
- American Society for Quality
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Languages
English
Native or Bilingual
Timeline
Data Science Manager
New York City Housing Authority
11.2019 - 05.2025
Lead Data Scientist - Consultant
New York City Department of Environmental Protecti
10.2018 - 11.2019
Educational Analyst
New York City Department of Education
09.2014 - 10.2018
Post-Graduate Certificate - Cloud Computing
The University of Texas at Austin
Master of Science - Data Science
City University of New York
Bachelor of Science - Statistics
University of Ilorin
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