Dagmawit Asfaw
Associate at Technomics, Inc.- Claim this Profile
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Amharic Native or bilingual proficiency
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Spanish Elementary proficiency
Topline Score
Bio
Credentials
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edX Verified Certificate for Data Science: R Basics
edXApr, 2023- Nov, 2024
Experience
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Technomics, Inc.
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United States
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Defense and Space Manufacturing
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100 - 200 Employee
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Associate
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Dec 2022 - Present
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University of Maryland
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Teaching Assistant
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Jan 2022 - May 2022
Undergraduate Teaching Assistant for Information Organization - Lead project teams and provide support to over 40 students virtually. Undergraduate Teaching Assistant for Information Organization - Lead project teams and provide support to over 40 students virtually.
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Research for Intelligence & Security Challenges Intern
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Jun 2021 - Aug 2021
NGA sponsored Algorithms for Threat Detection Project - Applied Sklearn's Random Forest Classification algorithm to successfully detect anomalies in a training dataset of over 30 million observations. - Performed Grid Search to tune Random Forest Hyper Parameters resulting in a higher Macro-Averaged F1 score of 0.769. - Designed a Logistic Regression model to investigate potential trends and relationships between various features in the dataset. - Implemented dataframe manipulation… Show more NGA sponsored Algorithms for Threat Detection Project - Applied Sklearn's Random Forest Classification algorithm to successfully detect anomalies in a training dataset of over 30 million observations. - Performed Grid Search to tune Random Forest Hyper Parameters resulting in a higher Macro-Averaged F1 score of 0.769. - Designed a Logistic Regression model to investigate potential trends and relationships between various features in the dataset. - Implemented dataframe manipulation techniques of encoding categorical variables as binary, balancing data for modeling, and splitting data into training and testing segments. Show less NGA sponsored Algorithms for Threat Detection Project - Applied Sklearn's Random Forest Classification algorithm to successfully detect anomalies in a training dataset of over 30 million observations. - Performed Grid Search to tune Random Forest Hyper Parameters resulting in a higher Macro-Averaged F1 score of 0.769. - Designed a Logistic Regression model to investigate potential trends and relationships between various features in the dataset. - Implemented dataframe manipulation… Show more NGA sponsored Algorithms for Threat Detection Project - Applied Sklearn's Random Forest Classification algorithm to successfully detect anomalies in a training dataset of over 30 million observations. - Performed Grid Search to tune Random Forest Hyper Parameters resulting in a higher Macro-Averaged F1 score of 0.769. - Designed a Logistic Regression model to investigate potential trends and relationships between various features in the dataset. - Implemented dataframe manipulation techniques of encoding categorical variables as binary, balancing data for modeling, and splitting data into training and testing segments. Show less
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University of Maryland
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Teaching Assistant
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Jan 2021 - May 2021
Undergraduate Teaching Assistant for Information Organization Undergraduate Teaching Assistant for Information Organization
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Education
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University of Maryland
Information Science, Data science -
Montgomery College