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Ed Gatdula is listed as Autonomous Vehicle Operator at Nuro, a with 581 employees, based in Oakland, California, United States. AeroLeads shows a work email signal at nuro.ai and a matched LinkedIn profile for Ed Gatdula.
Ed Gatdula previously worked as Stay-at-Home Parent at ... and Springboard Data Science Career Track - Student at Springboard. Ed Gatdula studied at Springboard.
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I'm a data analyst with 2+ years project management experience and machine learning skills. My education background includes a B.S. in Chemical Engineering and the Springboard Data Science Curriculum. My professional experience includes working with clients regarding project scope, estimates, and scheduling. I have data analysis and machine learning skills acquired by completing Springboard and EdX online coursework. I can wrangle data and perform large dataset analysis using pandas, SQL, and Tableau. I'm skill at using visualizations to communicate statistical distributions, correlations, and trends. My previous projects involved building and testing various regression and classification models including Random Forest, XGBoost. I fine tuned the models performance using GridSearchCV and feature engineering. I constructed Tableau dashboards for interactive data analysis presentations.Building information dashboards and using data science tools to find business problem solutions are my career goals.Skills:Machine learning modeling using scikit-learn. Data Wrangling. Exploratory Data Analysis.Python, Jupyter Notebooks. Pandas. Numpy. Plotly.
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Mountain View, California, United States
- Operate autonomous vehicle to collect data and test vehicle performance. Often involves troubleshooting various software and hardware issues.- Provide observations and feedback on autonomy behaviors for developers.- Conduct software and hardware tests with engineers.
Description: 550+ hours of hands-on course material, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastered skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.Projects:https://github.com/ChartreuseJoJo/Data_Science_Portofolio.git 1. Walmart Sales Forecasting Kaggle Competition and the Consumer Confidence IndexThe project objective is to measure the machine learning model performance improvement when additional outside data is added to the base dataset and determine which data features have the largest influence on weekly sales. Tools used include: Pandas, Seaborn, XGBoost and RandomForest Regressors, and Tableau. The result is the consumer confidence index has minimal improvement in mean average error. In addition, store size and several departments had largest influence on forecasting weekly sales.2. Predicting 2020 US Life Expectancy at BirthThe project objective is to predict 2020 US Life Expectancy at Birth from education attainment, income, unemployment, and poverty data. Tools used include: logistic and decision tree regression models, GridSearchCV, and Seaborn. I determined the best performing prediction model is the Random Forest Regressor with an RMSE = 3.419150. Furthermore, the RandomForest Regressor found that 2019 Median Household Income feature had the most influence on the US Life Expectancy at Birth in 2020.
Santa Clara, California, United States
Supported automated indoor agriculture facility construction. Responsibilities included: installation and maintenance of electrical and mechanical equipment such are rolling doors, irrigation piping, LED fixtures, and ventilation fans.
Richmond, California, United States
Drafted casework plans. Conducted inspections of field conditions. Communicated with clients regarding project scope and budgets. Ordered materials. Coordinated in-house fabrication and scheduled installation of casework. Provided customer assistance with any post-installation casework issues.
San Francisco, California, United States
Communicated with clients and subcontractors regarding project scope and budgets. Verified subcontractor estimates for completeness and correct scope. Reviewed casework drawings. Conducted inspections of field conditions. Ordered materials.
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Clinton John
Colleague at NuroUnited States
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Val Huseynli
Colleague at NuroSan Francisco, California, United States
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Kasra Mehrabi
Colleague at NuroSan Jose, California, United States
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Remy Valdez
Colleague at NuroHouston, Texas, United States
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Mazda Tres
Colleague at NuroSanta Clara, California, United States
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Aaron Alcairo
Colleague at NuroSanta Clara, California, United States
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Khashayar Rohanimanesh
Colleague at NuroSan Francisco, California, United States
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Brandon Xia
Colleague at NuroHayward, California, United States
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Tianyu Wang
Colleague at NuroSan Diego, California, United States
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Lyman Lupercio
Colleague at NuroBrooklyn, New York, United States
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Springboard - Data Science Career Track Description: 550+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight.
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Ed Gatdula works for Nuro.
Ed Gatdula is listed as Autonomous Vehicle Operator at Nuro.
AeroLeads has found 1 work email signal at @nuro.ai for Ed Gatdula at Nuro.
Ed Gatdula is based in Oakland, California, United States while working with Nuro.
Ed Gatdula has worked for Nuro, ..., Springboard, Onepointone, and Tamalpais Commercial Cabinetry.
Ed Gatdula's colleagues at Nuro include Clinton John, Val Huseynli, Kasra Mehrabi, Remy Valdez, and Mazda Tres.
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Ed Gatdula studied at Springboard.
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