RonKG · August 16, 2018 02:46
diff --git a/resume_ronald_wahome b/resume_ronald_wahome

 COMPETENCIES
 Java, Python, JavaScript, Hadoop, Hive, Pig, MapReduce, Oracle SQL, MySQL, JDBC, Matplotlib,, Pandas, Scikit Learn, Tensorflow, Keras, Pytorch, TFLearn, Seaborn, Excel Pivot Tables, Deep Learning, Natural Language NLP, Oracle DB, JDBC, Excel (ODBC), Agile, Scrum, SDLC


 SKILLS AND ACCOMPLISHMENTS
 Experience leveraging Python, Matplotlib, Plotly, Seaborn, Scikitlearn, Tensorflow, Keras, Pytorch, TFLearn to build, visualize and fine tune machine learning models for prediction and classification.
 Applied Java to write multiple application including the backend to a HR management software.
 SQL and variants experience with performing data operations for business consumption and machine learning tasks. 
 Used Shell Scripting extensively to build and execute SQL scripts and manage cloud environment setups and maintenance for deep learning models.
 Experience parsing data through APIs, web scraping and online catalogs for training machine learning models. 
 Cleaned structured and unstructured data, scaled and normalized data using Pandas as well as automated data processing with python.
 Implemented software development life cycles and Agile methodologies as part of a team.
 Worked in a fast-paced dynamic environment to meet software development deadlines.
 Organized and led teams to tackle business challenges, document and present findings to leadership and other stakeholders.

 EXPERIENCE
 Platform by Per Scholas / Data Engineering Program, sponsored by Cognizant
 2018 - CURRENT
 Learned and applied Big Data and Hadoop technologies through hands-on classroom activities and case studies
 Prepared large sets of data for further processing using the following technologies:  Java, Oracle DB, JDBC, Excel (ODBC), Hadoop, MapReduce, Data Transfer (Sqoop), Pig and Hive. 
 Gained experience on how to extract, scrub and manipulate real-time and warehouse data using SQL & Java
 Put new knowledge to properly define business problems and design tests that yield valid solutions
 Acquired experience with Project Management (Agile, Scrum) and Software Development Life Cycle (SDLC)


 Machine Learning Portfolio  /  Freelance, Researcher
 2017 - CURRENT
 Cleaned unstructured data for data analysis and machine learning tasks and pipelines
 Demonstrated data storytelling through extraction and visualization of data insights from different databases
 Managed online teams to collaborate and complete data science projects on schedule
 Utilized different visualization programming libraries to tell an immersive data story of murder rates in the City of Chicago from 2001 to 2018
 Used Python and the Twitter API to retrieve raw data and preprocessed it for a data science task
 Used Natural Language Processing ML libraries to train a Bayesian model for sentiment analysis with an accuracy of 76% which is better than human performance
 Packaged the above model into a web app using Flask, Docker, MySQL and JavaScript


 Machine Learning / Student
 2016 -  2018
 Cleaned data from various sources for further data analysis
 Arranged and participated in group coding activities to facilitate learning and satisfactory project completion
 Used a Convolutional Neural Network for an image classification machine learning task and achieved a 97.89% accuracy at recognizing traffic signs
 Applied Reinforcement Learning to train a smart vehicle to navigate a simulated environment in the shortest amount of time whilst observing all traffic laws and not causing any accidents
 Used Decision Trees algorithms to correctly predict the price of houses for a neighborhood in Boston
 Used a CNN to classify images of dogs and correctly identify the dog breed in the test images


 Amazon Pick Up Point / Campus Associate
 2017 - 2018
 Logged shipments and package data as well as participated in daily loss prevention data logs
 Delivered customer satisfaction and problem-solved scenarios such as missing or damaged packages by accessing proprietary company databases with sensitive customer information
 Opened and closed the physical store and covered leadership responsibilities




 EDUCATION AND PROFESSIONAL DEVELOPMENT
 Udacity / Artificial Intelligence / .….In Progress
 Platform by Per Scholas / Data Engineering
 Udacity / Machine Learning Engineering
 University of Alabama, Birmingham / Computer Engineering / 108 Credit Hours

	COMPETENCIES
	Java, Python, JavaScript, Hadoop, Hive, Pig, MapReduce, Oracle SQL, MySQL, JDBC, Matplotlib,, Pandas, Scikit Learn, Tensorflow, Keras, Pytorch, TFLearn, Seaborn, Excel Pivot Tables, Deep Learning, Natural Language NLP, Oracle DB, JDBC, Excel (ODBC), Agile, Scrum, SDLC


	SKILLS AND ACCOMPLISHMENTS
	Experience leveraging Python, Matplotlib, Plotly, Seaborn, Scikitlearn, Tensorflow, Keras, Pytorch, TFLearn to build, visualize and fine tune machine learning models for prediction and classification.
	Applied Java to write multiple application including the backend to a HR management software.
	SQL and variants experience with performing data operations for business consumption and machine learning tasks.
	Used Shell Scripting extensively to build and execute SQL scripts and manage cloud environment setups and maintenance for deep learning models.
	Experience parsing data through APIs, web scraping and online catalogs for training machine learning models.
	Cleaned structured and unstructured data, scaled and normalized data using Pandas as well as automated data processing with python.
	Implemented software development life cycles and Agile methodologies as part of a team.
	Worked in a fast-paced dynamic environment to meet software development deadlines.
	Organized and led teams to tackle business challenges, document and present findings to leadership and other stakeholders.

	EXPERIENCE
	Platform by Per Scholas / Data Engineering Program, sponsored by Cognizant
	2018 - CURRENT
	Learned and applied Big Data and Hadoop technologies through hands-on classroom activities and case studies
	Prepared large sets of data for further processing using the following technologies: Java, Oracle DB, JDBC, Excel (ODBC), Hadoop, MapReduce, Data Transfer (Sqoop), Pig and Hive.
	Gained experience on how to extract, scrub and manipulate real-time and warehouse data using SQL & Java
	Put new knowledge to properly define business problems and design tests that yield valid solutions
	Acquired experience with Project Management (Agile, Scrum) and Software Development Life Cycle (SDLC)


	Machine Learning Portfolio / Freelance, Researcher
	2017 - CURRENT
	Cleaned unstructured data for data analysis and machine learning tasks and pipelines
	Demonstrated data storytelling through extraction and visualization of data insights from different databases
	Managed online teams to collaborate and complete data science projects on schedule
	Utilized different visualization programming libraries to tell an immersive data story of murder rates in the City of Chicago from 2001 to 2018
	Used Python and the Twitter API to retrieve raw data and preprocessed it for a data science task
	Used Natural Language Processing ML libraries to train a Bayesian model for sentiment analysis with an accuracy of 76% which is better than human performance
	Packaged the above model into a web app using Flask, Docker, MySQL and JavaScript


	Machine Learning / Student
	2016 - 2018
	Cleaned data from various sources for further data analysis
	Arranged and participated in group coding activities to facilitate learning and satisfactory project completion
	Used a Convolutional Neural Network for an image classification machine learning task and achieved a 97.89% accuracy at recognizing traffic signs
	Applied Reinforcement Learning to train a smart vehicle to navigate a simulated environment in the shortest amount of time whilst observing all traffic laws and not causing any accidents
	Used Decision Trees algorithms to correctly predict the price of houses for a neighborhood in Boston
	Used a CNN to classify images of dogs and correctly identify the dog breed in the test images


	Amazon Pick Up Point / Campus Associate
	2017 - 2018
	Logged shipments and package data as well as participated in daily loss prevention data logs
	Delivered customer satisfaction and problem-solved scenarios such as missing or damaged packages by accessing proprietary company databases with sensitive customer information
	Opened and closed the physical store and covered leadership responsibilities




	EDUCATION AND PROFESSIONAL DEVELOPMENT
	Udacity / Artificial Intelligence / .….In Progress
	Platform by Per Scholas / Data Engineering
	Udacity / Machine Learning Engineering
	University of Alabama, Birmingham / Computer Engineering / 108 Credit Hours