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David Kersey is listed as Machine Learning Engineer @ cBEYONData | Empowering Organizations with ML Tools and Data-Driven Insights at cBEYONData, based in Annapolis, Maryland, United States. AeroLeads shows a work email signal at sum2sea.com and a matched LinkedIn profile for David Kersey.
David Kersey previously worked as Machine Learning Engineer at Cbeyondata and Advisory Consultant at Deloitte. David Kersey holds Master'S Degree, Merit Scholar, Business Analytics from William & Mary.
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Passionate machine learning and analytics professional in the commercial and government client space. Experience managing and deploying machine learning architecture, applying data analytics to establish business rules and detect fraud, institute proactive detection algorithms, automate client deliverables and improve business decisions. Ready to leverage an analytical skillset and inter-personal communication savviness on client projects and in technical team settings. Project experience: MLOps, machine learning, Docker, LLMs, Streamlit, GitLab, vectorstores, semantic search, fraud analytics, anomaly detection, program integrity, network analysis, Markov Chain, Python, SQL, Power BI, Neo4J, ETL, automation, Databricks, Azure DevOpsTraining: Databricks, AWS Cloud, Tableau, R, Alteryx, Spark, Gurobi, ArcGIS Pro, neural netsGovernment clearance available upon request.
Listed skills include Organic Farming, Farmers Markets, Kilns, Food Preservation, and 47 others.
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Arlington, VA, US
Developing and productionalizing ML and RPA solutions using Databricks, MLFlow, TensorFlow, and UiPath. - Managing ML product codebase, clusters and jobs in Databricks and GitLab. Fine-tuning model performance by evaluating MLflow experiments, validating outputs, improving ETL pipeline and feature engineering- Standing up production ML solution for new.
Worldwide, OO
- Led weekly workflows including client data handoff, data analysis, client presentation and discussion, action item client approval, and submission of tickets to development team for deployment- Utilized rules-based and supervised/unsupervised ML models in Python and SQL to uncover emerging fraud patterns and integrated findings into claimant risk.
Worldwide, OO
- Developed and implemented analytics solutions for commercial and government clients- Implemented an unsupervised learning model in Python and executive reporting dashboard in Power BI to proactively detect instances of fraud and waste for a large utility company- Developed business rules and algorithms in SQL and Neo4J for detecting fraud across multiple.
Williamsburg, VA, US
- Compiled, cleaned and presented novel datasets on Chinese and Saudi Arabian official foreign direct investment and under-reported financial flows- Contributed to the Saudi Arabia donor country profile and summary sheet for the Bill and Melinda Gates Foundation
Lusaka, Lusaka, ZM
-Added over $1M of revenue annually to the business by launching the organic certification of honey and groundnuts -Developed internal auditing system and database to track irregularities along business value chain -Collaborated with international partners to export the first ever Wildlife Friendly and organic certified peanut butter to the U.S. -Consulted.
Annapolis, MD, US
-Organized logistics and data collection along 300 miles of coastline for state-wide American Oystercatcher population survey to determine endangered species status-Researched breeding colonies of colonial water-birds in the Chesapeake Bay employing various surveying techniques, historical nesting data, GIS and drones via watercraft
Washington, District Of Columbia, US
-Managed a U.S. Forest Service pilot project to improve reforestation through orchard and woodlot establishment in rural Zambia whereby project counterparts planted over 15,000 trees during a two year period-Initiated adoption of agroforestry in 300 square mile catchment by facilitating relationship between local leaders and a NGO specializing in wildlife.
St. Mary's City, MD, US
-Led a research project that utilized landscape models and computational methods in R and Python to assess benefits of different spatial and temporal cover cropping regimes in the Mid-Atlantic- Managed greenhouse trials that exposed three flowering cover crops species to various concentrations of 2,4-D to understand threat of herbicide drift
University Park, PA, US
- Aided graduate-level research studying how desirable soil characteristics can be returned to soil in large-scale monoculture systems through implementation of seasonal cover crops- Collected data on soil characteristics and crop productivity to understand how different cover crop mixes and rotations benefit yield and drought tolerance
Missoula, MT, US
- Assisted graduate-level research studying the effects of cattle grazing strategies on the intact prairie ecosystems of northeast Montana. - Used bird point-count surveys, vegetation surveys, and land-use maps to understand bird and floral diversity and composition.- Lived and worked at the remote Matador Ranch operated by The Nature Conservancy.
Falls Church, VA, US
- Member of research team studying the Bristle-thighed curlew (Numenius tahitiensis), a rare migratory shorebird. - Conducted behavioral observations, bird point-count surveys, vegetation surveys and insect pitfall surveys to develop understanding of the Bristle-thighed curlew.- Lived remotely in a tent on the western Alaskan tundra.
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David Kersey works for cBEYONData.
David Kersey is listed as Machine Learning Engineer @ cBEYONData | Empowering Organizations with ML Tools and Data-Driven Insights at cBEYONData.
AeroLeads has found 1 work email signal at @sum2sea.com for David Kersey at cBEYONData.
David Kersey is based in Annapolis, Maryland, United States while working with cBEYONData.
David Kersey has worked for Cbeyondata, Deloitte, Aiddata, Comaco - Community Markets For Conservation, and Maryland Department Of Natural Resources.
You can use AeroLeads to view verified contact signals for David Kersey at cBEYONData, including work email, phone, and LinkedIn data when available.
David Kersey holds Master'S Degree, Merit Scholar, Business Analytics from William & Mary.
David Kersey is listed with skills including Organic Farming, Farmers Markets, Kilns, Food Preservation, Greenhouse, Bird Identification, Sustainable Agriculture, and Agricultural Research.
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