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Senior Data Scientist Resume

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Tampa, FL

SUMMARY:

  • Experience Data Scientist
  • Experience with Hadoop / Big Data environments like Spark, Cloudera, Hortonworks Sandbox/Data Mining, Machine Learning & Artificial Intelligence.
  • Experience with Scala programming language on spark
  • Experience with cloud Computing on AWS, AZURE …etc.
  • Excellent communication and problem - solving skills.
  • I am a detail oriented professional with over 5 years of experience as a Data Scientist.
  • I am highly proficient working on Hadoop / Big Data environments like Spark, Cloudera, Horton work Sandbox platform over 4 years.
  • I am well versed with Scala programming language on spark.
  • Experienced, mid-level data scientist with newly acquired skills, an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured, and unstructured data. Ability to leverage, mathematics, high-level programming, statistics with visualization, with a healthy sense of explanation. All Combine with:
  • 5 years’ Experience in developing customer models (Classification, Scoring, Ranking, Probability estimate & Clustering) with R, H2o & Python on Big Data environment.
  • 5 Years’ Experience in applying Data mining technique & Data science algorithm on Hadoop Ecosystem/Big Data environments to Public Health Care and Education problem that demonstrated a potential saving in resource due to the Capacities to predict an upcoming future event.
  • 5 years’ Experience developing public health’s Risk Management and Stratification Model relying on, random forest, gradient boosting, logistic regression, and another Machine learning algorithm and platform.

SKILLS:

  • Robust R, Python and Scalar skills
  • Experience and expertise in machine learning based predictive modeling projects with machine learning models like Gradient Boosting, Collaborative filtering, Bayesian Methods, Random Forest, SVM, Markov Models
  • Five years’ experience with R, SAS, WEKA, H2o and PYTHON
  • Tree Years’ Experience with Scala programming language on spark
  • Five years’ experience within Hadoop ecosystem / Big Data environments (HIVE, PIG, No-SQL …etc.
  • Five years’ experience creating building / delivering reporting dashboards with Tableau, R SAS and Alteryx
  • Strong General programming skills and knowledge in C++, Java, MATLAB and Excel/VBA
  • Spark, Cloudera, Hortonworks Sandbox experience
  • Strong knowledge and expertise in applied statistics (Regression, Classification, Segmentation, Clustering, Association), Microeconomics (discrete choice modeling) and mathematical optimization
  • Strong communication skills and marketing skill
  • Over fitting, modeling, lasso and Ridge regression, cross validation, bootstrapping, bagging, randomization, boosting, multinormal logic regression, Knn, Kmean, deep neural network, TensorFlow, DoE, probit, hypothesis testing, ggplot2,
  • Strong knowledge and expertise with Neural Network frameworks such as Caffe, Theano, TensorFlow, H2o …etc.
  • Ability to work with different Machine Learning libraries/ frameworks for integration

SKILLS SUMMARY:

Domain: Banking and Finance, Anti Money Laundry, Manufacturing, Insurance, …etc.

Programming Languages: R, Python, SAS, SQL, Hadoop Ecosystem (Hive, Pig, scalar, no-SQL …etc.), C++, Java(knowledge)

Operating System / ERP Version: Window & Linux applications

Tools: / DB / Packages / Framework / ERP Components: Cloudera, Spark, Horton work Data platform, Hadoop, h2o, Torch, Data robot, TensorFlow, Tableau …etc.

Hardware Platforms: Intel Series

WORK EXPERIENCE:

Confidential, Tampa, FL

Senior Data Scientist

Technology & Tools: BIG DATA PLATFORM/SQL/R/python/H20/scalar/DATA ROBOT/Data Mining/Machine Learning/Artificial Intelligence/SPARK/AWS

Responsibilities:

  • Data Gathering Search and Evidence Automation
  • Case Selection and Cognitive Automation/Micro-Decisioning
  • Narrative Automation/Artificial Intelligence

Confidential, Washington, DC

Data engineer and Data scientist

Technology & Tools: Hadoop ecosystem/Horton work data platform (sandbox, scalar with Spark )/R/SAS/tableau/Data Mining/Machine Learning …etc.

Responsibilities:

  • Created Web base applications for data entry and reports
  • Converted data from HDFS to Structure into Databa based on client request(ETL).
  • Converted Data set into actionable(modeling) to Predict and/or Analyzed spending & purchase habits, budget, population segmentation, population classification.
  • Work stream stage Automation

Confidential NJ

Team Member as Portfolio Analyst

Technology & Tools: SQL ETL/Inhouse Illustration platform/ Stata/Data Mining

Responsibilities:

  • Providing estimates and prediction for the custom Portfolio Return suggest implementations for Profitability
  • Development of tools for risk calculation base on portfolio past performance

Confidential, NJ

Team Member as Portfolio Analyst

Technology & Tools: SQL ETL/Inhouse Illustration platform/ Stata/Data Mining

Responsibilities:

  • Providing estimates and prediction for the custom Portfolio Return suggest implementations for Profitability
  • Development of tools for risk calculation base on portfolio past performance

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