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Last active Aug 16, 2018
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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
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.
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
Udacity / Artificial Intelligence / .….In Progress
Platform by Per Scholas / Data Engineering
Udacity / Machine Learning Engineering
University of Alabama, Birmingham / Computer Engineering / 108 Credit Hours
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