Abraham Aldaco-Gastelum

San Ramon, CA

925-***-****

aczezy@r.postjobfree.com

SUMMARY

Over 8+ Years of experience in Applied statistics, Design of Experiments, simulation, modeling and developing custom algorithms for statistical Analytics and developing applications with statistical and mathematics libraries. Over 2+ Years developing applications with Machine Learning supervised algorithms and libraries. And over 15+ Years of experience in IT Industry - administration, architecture, designing, configuration, testing, troubleshooting, and supporting LAN/WLAN/WAN networking technologies, with in-depth knowledge of network architecture and protocols.

TECHNICAL SKILLS

Algorithms:

Design of Experiments (DOE), Full, Fractional, Saturated, Optimal, Covering arrays

Machine Learning (ML), supervised classification, regression, k-NN, Naive Bayes, Decision trees algorithms

Markov Chain, the two states Gilbert–Elliot model, State Transition Diagrams

Linear regression multivariate, Ordinary Least Squares (OLS), Weighted Least Squares (WLS)

Variable selection Forward (FS), Backward elimination (BE), Stepwise

Predictive Modelling

Develop custom algorithms for finding, among numerous variables, the most significant variables and interactions

Test algorithms robustness

Software:

Strong Computer Science fundamentals (algorithms and data structures)

JMP (SAS), SPSS, Design Expert, Minitab, R, MS Excell, Octave, Latex, Gnuplot

C/C++, Java, Python, TCL/TK, AWK, Linux Shell, MySQL

Python numpy, scipy, pandas data analysis libraries, matplotlib plotting

Workloads for characterization and benchmarking (Filebench, Netperf, TCPDump)

Script simulations, Mining BIG data traces, select variables, construct predictive models

Discrete SIMULATOR NS-2, NS-3

Oracle VM VirtualBox, Vmware virtualization for Desktop and Server

Operating Systems: Linux, MS Windows

Statistics:

Statistics t-Test, z-Test, u-Test, F-test, hypothesis testing, p-Value, ANOVA, Correlation, Multicollinearity, Aliasing determination, Eigenvalues

Numerical (Discrete, Continuous), Categorical (ordinal, nominal, interval) factors

Model selection Akaike Information Criterion (AIC) and the Bayes Information Criterion (BIC)

Parametric, non-Parametric data distribution

Skewness (lack of symmetry) and kurtosis (tails, or outliers)

Shapiro-Wilk, Kolmogorov Smirnov tests to determine the normality of frequencies

Non-parametric Man-Whitney U-test, Wilcoxon Sum Rank Test

Matrix computations Correlation (X X), Variance Inflation Factor (VIF) (X X) 1

Coefficient of determiation R-squared, Adjusted R-Squared, Mean Squared Error (MSE)

Transformation for observed data, Shapiro-Wilk normality verification

Plots normal probability plot, measured vs fitted, residuals vs fitted, histogram, Box-plot, 1/2

Cisco Certified Network Associate (CCNA), in-depth knowledge of Network protocols

Cybersecurity

Agile methodology, Git, Dimensions, Rally, Doors, Jenkins, Scrum

Strong research capabilities

PROFESSIONAL EXPERIENCE

IBM, Guadalajara MX October '2015 – December ‘2016 Data Test Storage Performance

Responsibilities:

Use and deep understanding of Machine Learning k-NN, Naive Bayes, Decision trees algorithms

Use and deep knowledge in Statistics and Design of Experiments (DoE)

Strong knowledge of predictive Linear regression modeling

Data extraction and Cleansing

Test the performance of I/O operation in datacenter servers of high storage capacity (virtual storage IBM cache TS7720T, IBM TS3500 Tape Library and LTO tape drive)

Use best transformation of data to improve normality distribution of the performance

Benchmark the performance

Develop test plan based in Experimental Designs

Find the most significant Factors for the performance

Compute coefficient of determination R-squared to measure correlation between Factors and the response, the performance

Write a white paper of the new release showing the Analytics from the results: include Plots and quantitative description of new improvements

Linear regression modeling of the performance

Show Statistical Analytics from hardware improvements compariring with previous versions

Execute Functional and Systems validation

Find and report defects from software and hardware and expose defects and problems in phone meetings

Publish defects and updates in a triage system for reviewing by technical experts

SCRUM methodology

General Electric, Queretaro MX April ‘2015 – October ‘2015 Project Engineering Leader Test Aviation Systems

Responsibilities:

Test performance from Write/Read operations on flash memory

Improve quality of software (C) by finding and reporting defects during testing and code reviewing

Construct Analytics from the output, the performance

Show the analysis in plots, tables and text

Search for abnormal patterns from the analytics and report

Plot delay in writing 512 bytes size sector flash memory, including standard deviation from the mean (repeat for reading)

Develop software for embedded devices for avionics

Update user requests documentation (Doors)

Lean/Six Sigma Certification (in progress)

AGILE, Scrum methodologies (Rally, Jenkins) and version control software (Git and Dimensions) Arizona State University, Tempe Arizona August ‘2008 – April ‘2015 Data scientist in complex systems with numerous factors Responsibilities:

Strong experience in Researching

2/2

Develop an innovative algorithm for screening Experimental Designs in complex systems with numerous variables, use of parametric and non-Parametric statistic tests

In-depth knowledge of Design of Experiments (DOE)

Construct or select most appropriate DOE considering Size, coverage of ALL main effects and low-order interactions

Algorithm allows:

Study numerous factors while traditional approaches are ineffective

Use hypothesis testing

Include multiple levels per factor

Have big/large experimental design

Find the most significant factors and factor interactions first

Obtain the higher coefficient of determination ( R-squared )with the least number of factors

Construct linear regression models of high predictive capability

Construct predictive models including only the most significant variables, compute R-squared, AIC, BIC as stopping criteria

Design a custom methodology for variable selection based on the variability of factors and interactions to determine significance.

The methodology comprises:

Analysis of the best transformation of the observed data

Grouping by similar variability

Deep analysis of the difference on variance in data from factors frequency

Analysis of the data distribution (e.g. Normal distribution) and indepence of the factors

Man-Whitney U-test and Wilcoxon Sum Rank Test for Non-parametric

Difference of means t-Test for Parametric

Ordinary least squares (OLS) or Weigthed least squares (WLS) as required

Automate large simulations and perform analytics from the BIG data traces

In-depth knowledge of discrete SIMULATOR NS-2, familiar to NS-3

Modify simulator source code to customize functioning

Develop scripts (TCL/TK) to automate simulations, going from minutes up to days

Bind the TCL variables to NS-2 variables to control different value per variable per each run

Develop scripts (AWK) to compute performance (bits/seconds) from numerous BigDATA traces

Write and publish scientific Journal papers

Construct a case study of a complex systems in mobile ad-hoc network (MANET)

The case study includes:

A wireless mobile ad-hoc network (MANET) using NS-2 discrete simulator

75 controllable Factors across-layers from Network Architecture of protocol stack, Error, Energy and Propagation and Random Waypoint Mobility models were included

Machine Learning techniques to simulate the Error model for packet transmission and reception (The Gilbert–Elliot model, a Markov Chain model of two states)

Covers at least all 2-factor interactions among the 75 factors

Construct a TCP throughput prediction model

Linear regression model with 10 terms containing only 9 most significant factors out of the 75

Includes main effects and 2-factor interactions (R-squared = 87%) Arizona State University, Tempe Arizona June ‘2013 – June ‘2014 Data analyst at Department of Speech and Hearing Science Responsibilities:

Managed a statistical data of a 5 years longitudinal study in the Language and Reading Research Consortium

(LARRC) designed to increase our understanding of language- and reading-comprehension development

(1200 children ages 4-8 years old)

3/2

Extensive use of MS Excel, complex formulas, charts, inter Sheet operations, Sort, Vlookup, Hlookup, Extensive formatting to customize the viewing, and statistics Data Analysis tool

Deploy Scan to Database application, design of forms, configure OCR, configure data base connection, supervise scanning process

Define policies to execute systematic cleanning of data in DataBase from the scannig process

Provide analytics of the findings to write scientific journal papers

Construct histogram diagrams to show normality distribution, skewness (lack of symmetry) and kurtosis

(tails, or outliers), and apply Shapiro-Wilk test to determine the normality of frequencies

Extensive use of SPSS Descriptive statistics mean, median, mode, standard deviation, variance, range, skewness, kurtosis, histogram

Administration of Database, videos and electronic tests, classification and MS SharePoint

Show Analytics to Board of directors

Physical custody of confidential documents and tests, classification, sorting, labeling, and electronic processing assurance

Intel Corporation, Chandler Arizona January ‘2012 – May ‘2012 Data analyst and Network performance test

Responsibilities:

Test the performance response of servers using solid state storage devices (SSD) functioning as cache device

Simulation & Emulation

Characterize workloads emulating several clients - one server architecture in Network File System (NFS) in Linux

Characterize workloads using NetPerf and FileBench to test the cache server response and measure the performance in the Network

Capture network traffic using TCPDump

Construct Analytics, plots using Gnuplot, and description of the improvements

Prepare Benchmark of the results for customer presentation Tec de Monterrey Engineering Department, Hermosillo MX May ‘2002 – August ‘2008 Network Engineer

Responsibilities:

Teach courses to undergraduate students and industry staff on CCNA, operating systems, and programming

20% from the total students passed CCNA exam

Administer DNS, DHCP and the IP addressing

Provide support in monitoring 3Com and Cisco switches

Network infrastructure support to routing and switching equipment

Provide support to Back up Cisco IOS to a TFTP, upgrade and restore Cisco IOS from TFTP server

Troubleshoot and resolved Ethernet issues: monitor traffic, detect malicious traffic, patch servers

Troubleshoot ACL issues: denied ports, allowed subnetworks

In-depth knowledge of cybersecurity issues

Use Microsoft Visio to document network design

Tec de Monterrey IT Department, Hermosillo MX January '1997 - May '2002 Network Engineer

Responsibilities:

In charge of a Datacenter including 20+ Linux and Microsoft servers, LAN/WiFi/WAN and 5 remote sites of the University campus in the North West of Mexico

Administration, architecture, engineering and troubleshooting tasks for the core-network and branch locations

Configuration of the WAN including routing protocols, security and E1 WAN links and E1- Ethernet

Build and develop strong relationships with end-users by providing reliable customer support

Configure and monitor servers in a data center and remote sites (linux Red Hat, AIX and MS Windows 2003) 4/2

Configure and administer network services DHCP, FTP, DNS, VPN, NAT, PROXY and MS Active Directory

Strong understanding of ICMP, ARP, UDP, TCP/IP, AODV, IEEE 802.11b

Implement the Routing protocols (RIP, IGRP, EIGRP, OSPF) Cisco routers 2500, 2600 series

Administered network services and systems which monitor computational resources and network traffic

In-depth knowledge of cybersecurity issues

Implement network protocols traffic analizer using Etherpeek, Ethereal, Wireshark, and web traffic FWL 1989 – 1997

Network Engineer and Consulting

Responsibilities:

Design and configure WAN links for data and VoIP communications for central site and 4 remote offices

Develop a inventory and billing control for an automotive retailer

Develop an accounts receivable software for a Departments store EDUCATION & CERTIFICATIONS

Ph.D. in Computer Science, ARIZONA STATE UNIVERSITY, Tempe, AZ, GPA 3.63 2015

M.S. in Computer Science, TEC DE MONTERREY, Mexico, Summa Cum Laude GPA 3.9 2000

B.S. Electronic Systems Engineering, TEC DE MONTERREY, Mexico, GPA 3.5 1988

Cisco Certified Network Associate (CCNA) 2004

Lean/Six Sigma Green Belt Certification (in progress) 2015 5/2

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