MIM consulting Resume

SUMMARY:

Experienced in data analysis, designing experiments, interpreting data behavior, business decision support.
Master’s degree in Economics with solid statistical background and recently updated skills in Data Science, Statistical Learning and Machine Learning in Stanford University. Technology - savvy and mathematically-equipped professional with experience in diverse set of procedures but not limited to methods such as machine learning, deep learning, regressions, cluster analysis, PCA, decision trees, time series, resampling and regularization, LASSO, NLP, CNN and other techniques.
Experience with analytic tools such as R, SAS, SPSS, SQL, WEKA, MOA.
Experience in latest Big data technologies like Spark, Hadoop, HBase, Hive, Cassandra with using ETL, NoSQL, N1QL.
Experienced data scientist with 5+ years of industry experience with hands on experience in developing machine learning models.

TECHNICAL SKILLS:

R, Python, C#, Java, SQL, JavaScript, Tableau, JSON, Spark, XML/HTML, AWS, ES2, SparkR SQLContext, NLP
SPSS, SAS, Matlab, Kernel, Unix, Linux, OSX, MS Windows, Excel,CSS, Docker, Hadoop, VM, .NET, H2O, MOA, Weka
MySQL, PHP, Oracle, PostgreSQL, SQLite, NoSQL, JDBC, OLAP, PCA, CNN, ETL, Zeppelin, SAP HANA Vora

EXPERIENCE:

Confidential

MIM consulting

Responsibilities:

Natural Language Processing of article “How Presidential Elections Affect the Markets” on R and openNLP.
Time series outlier detection with Arima package, MPP with MOA interacting with R and ML techniques plus forecasting and visualization.
Web scraping on R and ‘rvest’ library with SelectorGadget and elements of CSS.
Creative visualisation demo with ggplot2 in R and Exploratory for WWC.
Automatic Anomaly Detection in Time series Using Seasonal Hybrid ESD Test for model CPU utilisation.
Exploratory with ML techniques, Domestic Violence in California partnership 2005-2014 for WEAVE human trafficking survivors organization.
Optimisation of statistical analysis and forecasting using Lasso, Cross Validation, Random forest, Log regression and prediction tree ML models with in R for diabetes incidences on patient cohorts.
Logarithmic means with RMSLE approach and product clustering algorithm for Grupo Bimbo bakery product, Kaggle competition data set.
Hadoop academic project with WWC big data processing modules (MapReduce, YARN, Pig, Spark and Impala) and data analysis using Spark streaming/Hadoop Streaming.
Clustering, classification, PCA and CHAID models for Parkinson’s Telemonitoring Data Set, private project for US Davis Medical Group.
SVD, PCA, clustering analysis as ML implementation with visualization with ggplot2 library and recommender system for unsupervised Expedia destination data set, “Expedia hotel research” Kaggle competition.
Analyzed marketing data to maximize pricing margins with RDMA for “ Beauty supply” women's Center.
Implemented statistical ML techniques Exponential moving averages and logistic regression algorithm with TTR 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

Business Analyst

Responsibilities:

Modified a > 400MB 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.

Confidential,

Sr. Database Administrator

Responsibilities:

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

Confidential

Lead Data Analyst

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.

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