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I hold over five years of experience in the field of Data Science (including as a Data Scientist, a Machine Learning Engineer, and a Data Analyst), and over eight years of experience in advanced mathematics and computer programming; this experience includes a Master’s Degree in Data Science from American University (2022) as well as a Bachelor's Degree in Mathematics from Bard College (2006).With a strong foundation in mathematics and programming, I love using Machine Learning and Natural Language Processing techniques to solve complex puzzles. With a passion for social issues, I love using data techniques to help mission-driven organizations reach optimal solutions towards making life better for disenfranchised and marginalized peoples. Passionate about number theory, abstract algebra, and related mathematical fields.SKILLSLanguages: Python, R, Java, JavaScript, SQL, HTML 5, CSS, ScalaLibraries/Packages/Frameworks: Pandas, Numpy, SciPy, SciKit-Learn, PyTorch, Matplotlib, Seaborn, Keras, Tensorflow, NLTK, BeautifulSoup, Tidyverse, Glmnet, Dplyr, Ggplot2, MASS, Markdown, Readr, Shiny, GGally, EDLDatabases: AWS (EC2, S3, Lambda, Redshift, Sagemaker), DBeaver, MySQL, PostgreSQLIDEs: Jupyter (Lab, Notebook), Visual Studio Code, RStudio, NetBeansStatistics: Bayesian Statistics, Regression/Classification Modeling, Predictive AnalyticsML: Neural Networks, NLP, Unsupervised Learning, Deep Learning, Algorithm Scripting, Data Wrangling, Data MiningData Visualization: Tableau, PowerPoint, Excel, Google Slides, Google Docs, LaTeXVersion control: Git, Github, Gitlab, BashOperating Systems: Windows, Linux, OSMethodologies: Agile, SCRUM, JIRA, Confluence, Kanban boardsAI: OpenAI API, LLM, Llama2, GPT-4-turbo, Recommendation Systems, GAN
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Data ScientistHeliosPhiladelphia, Pa, Us -
Data ScientistVidoori Inc. Feb 2024 - Sep 2024Hyattsville, Maryland, Us• Designed and built an AI driven resume grader (written in Python and deployed in AWS Lambda) that evaluates (on a scale of 0-5) candidates based on 2 pass-fail disqualifying criteria, 3 weighted scoring criteria, and 3 bonus criteria• Designed and built 2 chatbots leveraging Llama2 through LlamaIndex; an HR Bot and a Legal Bot with distinct voices and exclusive access to their designated data in SharePoint folders • Developed PowerPoint presentations to educate coworkers on the company’s Deep Neural Net used to link people across two different surveys for the Census Bureau, as well as other AI and ML models and techniques• Precisely tracked and maintained project timelines cross functionally in JIRA tickets through Agile methodology and Scrum practices -
Data Scientist (Contractor)Cherry Street Energy Jul 2023 - Feb 2024Atlanta, Georgia, Us• Within a two week deadline, created linear, ridge, and LASSO regression models that predict the monthly energy usage (kWh/mo) and intensity (kWh/sqft/mo) of a building in the U.S Southeastern Region within 90% accuracy, based on six inputs (square footage, stories, building profile, year constructed, weekly operating hours, and month)• Optimized the best performing model (ridge) using GridSearchCV to tune hyperparameters• Incorporated the regression model into a SEED calculator, which, in tandem with a function that calculates Billing Demand, determines how much a client would save on energy cost by switching to Cherry Street Energy• Developed and designed data pipelines to support an end-to-end solution for accessing Georgia Power’s API to extract meaningful insights on commercial building data for the SEED calculator -
Data ScientistCareforge Ai Aug 2023 - Oct 2023• Built and maintained a secure and organized data repository using PostGreSQL 16, ensuring that data integrity and accessibility are maintained throughout• Trained and optimized machine learning models enriched with key terms and search strings tailored to the platform's specific needs• Worked with the advisory boards and used NLP techniques to extract insights, automate processes, and enhance user interactions on the platform, ensuring the most relevant and accurate responses to user input• Set up local large language models (Llama 2) development pipeline -
Graduate Research Assistant (Machine Learning Engineer)American University Sep 2021 - Jul 2023Washington, Dc, Us• Developed human assisted machine learning and natural language processing (NLP) approaches to infer information about chemical compounds from highly technical open literature sources• Enhanced existing machine learning techniques to predict 9 different properties of CNOHF chemical molecules from their molecular structures for 439 unique chemical compounds• Designed and implemented nested K-fold cross validation on a Kernel ridge regression (KRR) model using radial basis function (RBF) kernel mapping to find parameters that would give the best possible Mean Absolute Error (MAE) score for the model when using the 439 vectors of the 28 dimensional Sum Over Bonds featurization method as the feature matrix (X) and the 9 chemical properties as the target vectors (y1-y9)• Designed and implemented convolutional neural networks within PyTorch and PyTorch_Geometric to create neural fingerprints for these compounds based on their graphical representations (as generated using RDKit) -
Data AnalystHunger Free America Feb 2020 - Sep 2021New York, Ny, Us• Analyzed meal site data using Python to observe the biggest increase and decrease in numbers of lunches and breakfasts served between years, by boroughs, and compared to census tract by poverty rate, to find underserved neighborhoods• Mapped analytic discoveries using Tableau• Created complex, cross-object and cross-platform reports and dashboards in Tableau -
Data Science FellowGeneral Assembly Jun 2019 - Aug 2019New York, Ny, UsApplied data analysis and data visualization skills in a 500-hour immersive course:• Completed 35 labs and 5 projects, leveraging data science best practices to solve real-world problems, using programming (Python {NumPy, SciPy, Pandas, SciKit-Learn}, SQL), data visualization (Matplotlib, Tableau), and version control (Git)• Developed a Natural Language Processing model to recommend 10 cheeses (given an input cheese name and/or up to 13 cheese features), by binarizing a dataset of 1,827 cheeses scraped off of cheese.com and calculating the cosine similarities within this binary matrix using the pairwise distance function, and made a user friendly interface using ipywidgets• Developed a Natural Language Processing model to predict which of two subreddits a post originated from, using statistical methods and modeling, including data collection (via Reddit’s API), TFIDF Vectorization, and GridSearch • Modeled large and disparate data sets using a variety of machine learning techniques -
File ClerkWeber Gallagher Nov 2018 - Feb 2019Philadelphia, Pa, Us• Organized and maintained legal documents and case archives for over 300 different workers’ compensation cases• Cleaned up and updated over 150 files for cases that had been in complete disarray for upwards of 15 years • Scanned 130 files (which were comprised of usually over 1000 documents of 26 different filing classifications) into Aderant Total Office legal software and shredded physical files, freeing up significant space -
File ClerkKane, Pugh, Knoell, Troy & Kramer, Llp Feb 2015 - Nov 2018Blue Bell, Pennsylvania, Us• Organized and maintained legal documents and case archives for 3 different partners with 3 unique filing styles, and created 15-page documents outlining specifically how to file for each partner as an aid for other clerks and paralegals• Created an organization system and protocol for maintenance, to support 6 attorneys and 7 paralegals -
Kitchen Assistant, CatererCatering By Design Jun 2013 - Feb 2015• Kept the walk-in refrigerator and walk-in freezer organized by food type and date for over 300 dishes and ingredients• Prepared and cooked multiple dishes in a short time frame for high profile clientele • Plated and served appetizers, entrees, and desserts for various events• Composed floral arrangements and tended bar for catered events
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In-School TutorNueva Esperanza Academy Public Charter High School Sep 2011 - Jun 2013• Tutored 30 students in 3 different fields of math, individually and in small groups, during and after school hours • Composed graphic organizers to assist learning• Collaborated with the math teachers in lesson planning and assessment
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Administrative AssistantInformal Learning Solutions Feb 2010 - Sep 2011• recording and transcribing spoken and written interviews• assisting with survey conduction• internet research• creating spreadsheets using Excel
Michael Knight Skills
Michael Knight Education Details
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American UniversityData Science -
Bard CollegeMathematics
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General AssemblyData Science Immersive Dc
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Community College Of PhiladelphiaComputer Science
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University Of MarylandMathematics And Computer Science
Frequently Asked Questions about Michael Knight
What company does Michael Knight work for?
Michael Knight works for Helios
What is Michael Knight's role at the current company?
Michael Knight's current role is Data Scientist.
What is Michael Knight's email address?
Michael Knight's email address is mk****@****ica.org
What is Michael Knight's direct phone number?
Michael Knight's direct phone number is +161027*****
What schools did Michael Knight attend?
Michael Knight attended American University, Bard College, General Assembly, Community College Of Philadelphia, University Of Maryland.
What are some of Michael Knight's interests?
Michael Knight has interest in Social Services, Education, Poverty Alleviation, Science And Technology, Human Rights, Animal Welfare, Arts And Culture.
What skills is Michael Knight known for?
Michael Knight has skills like Mathematics, Bass Guitar, Assistant Teaching, Cooking, Spreadsheets, Microsoft Excel, Tutoring, Musicians, After School Programs, Food Service, Voice Acting, Administrative Assistants.
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