Consultant Resume

OBJECTIVE:

Strong focus on R and Python Statistical Analysis and ML techniques in challenging environments.

SUMMARY:

Experienced in data analysis, designing experiments, interpreting data behavior, business decision support.
Strong background in statistics and data machine learning techniques.

LANGUAGES AND PLATFORMS:

R, Python, C#, Java, SQL, JavaScript, JSON, Spark, XML and HTML
SPSS, SAS, Matlab, Unix, Linux, OSX, MS Windows, Docker, Hadoop, VM, .NET, Tableau, H2O
MySQL, PHP, Oracle, PL/SQL, PostgreSQL, SQLite, NoSQL, JDBC, OLAP, SVM, PCA, ETL

EXPERIENCE:

Consultant

Confidential

Responsibilities:

Exploratory with ML techniques include of Domestic Violence in California partnership 2005 - 2014 for WEAVE human trafficking survivors organization.
Logarithmic means with RMLSE approach and product clustering algorithm for Grupo Bimbo bakery product, Kaggle competition data set.
Hadoop academic project with Confidential big data processing modules (MapReduce, YARN, Pig, Spark and Impala) and data analysis using Spark streaming/Hadoop Streaming.
Clustering, classification, PCA and Confidential models for Parkinson’s Telemonitoring Data Set, private project for US Davis Medical Group.
PCA and clustering analysis as ML implementation with visualization with ggplot2 library for unsupervised Expedia destination data set, “Expedia hole research” Kaggle competition dataset.
Analyzed marketing data to maximize pricing margins for “ Beauty supply” women's Center.
Implemented statistical techniques Exponential moving averages and logistic regression algorithm with Confidential package to forecast auto prices “Sundays motors” cardilership.
Research and SWOT analysis as structure planning method of strengths, weaknesses, opportunities, and threats for “E&M enterprises” for strategy, developing and best business decisions.
Confidential model with package “ Confidential ” in R for diabetes incidences on patient cohorts.

Analyst

Confidential

Responsibilities:

Modified a > 400 MB financial database for a 25 million dollar American aid program.
Implemented and analyzed financial models to distribute funds using Excel.
Analyzed time-series data from over 50,000 water users examining water use, crop yields, equity of water distribution, and farmer satisfaction with program.
Tracked and carry out of data for distribution of funds to cooperating stakeholders.

Database Administrator

Confidential

Responsibilities:

Lead ETL and security for 50+ disparate databases
Designed and implemented custom database for the national pharmaceutical center to track the receipt and distribution of medicines .
Managed inputs and updates to medical databases; designed transactions; planned database backups and restores; maintained data storage; managed and trained employees.

Data Security Analyst

Confidential

Responsibilities:

100+ programming, data security, and financial projects .
Lead projects, verified account balances, generated electronic signatures, performed encryption and data security tasks.
Increased transactions speed by implementing new security approach.
Trained staff.