Atl Arredondo Email & Phone Number

San Francisco, Ca, Us

San Francisco, California, Us

San Francisco, California, Us

• Implemented Particle Filtering to interpolate and predict Unevenly Spaced Time Series data points and convert the data into evenly spaced time series for data analysis on low power devices.• The particle filter algorithm was developed using C++ and ran on Raspberry Pi 2 and A+ over meteorological data and obtain real time interpolation and prediction results. • Measured accuracy and power consumption of particle filtering to verify how suitable they are for low power embedded devices.Paper can be found here:http://bit.ly/2a2KZvN

San Francisco, California, Us

• Built a data pipeline to transform raw logs format that can be used for user session extraction and streaming analysis, using Spark, Parquet File Format and Hive.• Developed the session pipeline using this new format to support metric aggregation analysis and security patterns. Also, this involved building a data visualization tool to query sessions.• The pipeline jobs were scheduled hourly and daily.

San Diego, Ca, Us

• Worked with the Aljoyn Internet of Things framework to maintain tests and add features to tutorial applications • Developed test Thin Client applications to improve Alljoyn Core functionality• Debug Alljoyn Lighting SDK for Smart Lamp Android and iOS distributions.• Developed test cases for Introspect with Description Alljoyn Core feature using the Google Test framework.

Omaha, Nebraska, Us

• Consulting services on water and natural resources projects that involved data collection.• Data gathering and analysis using database collection to solve logistic and efficiency problems on pipe criticality and city resources studies.• City of Corpus Christy Wastewater cost study on analysis of population demographics in terms of per capita usage and income. • Pipe criticality analysis to determine defective pipes on the City of San Diego Wastewater South and Metro Interceptors.

- DIMACS Research Experience for Undergraduates (REU) program of 2014. - Worked under Dr. James Abello.- Student collaborators: Atl Arredondo, Ram Hari Dahal, and David DeSimone.-Graph theory research to create a web application that visualizes data collections.-Use data collection and similarity measures techniques to format REU project data.-Web development with D3 JS Library to represent data as an interactive graph.-Research paper presented at the MathFest Conference on August 7th at Portland, OR

San Diego, Ca, Us

Bachelor Of Science (B.S.), Computer Engineering

Self-Driving Car Engineer Nanodegree - Term 1 Computer Vision And Deep Learning, Artificial Intelligence

Transfer Expected 2014, Computer Science