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Senior Data Scientist Resume

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NJ

SUMMARY

  • Experience Data Scientist, Experience wif Hadoop / Big Data environments like Spark, Cloudera, Hortonworks Sandbox/Data Mining, Machine Learning & Artificial Intelligence.
  • Experience wif Scala programming language on spark
  • Experience wif cloud Computing on AWS, AZURE …etc.
  • Holding B.S in Mathematics Major Actuarial & Statistics Science from Rutgers University
  • Excellent communication and problem - solving skills.
  • US Citizen, Local and Available for In-person interview.
  • Experienced, mid-level data scientist wif newly acquired skills, an insatiable intellectual curiosity, and teh ability to mine hidden gems located wifin large sets of structured, semi-structured, and unstructured data. Ability to leverage, mathematics, high-level programming, statistics wif visualization, wif a healthy sense of explanation. All Combine wif:
  • 5 years’ Experience in developing customer models (Classification, Scoring, Ranking, Probability estimate & Clustering) wif 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 dat demonstrated a potential saving in resource due to teh 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.
  • Robust R, Python and Scalar skills
  • Experience and expertise in machine learning based predictive modeling projects wif machine learning models like Gradient Boosting, Collaborative filtering, Bayesian Methods, Random Forest, SVM, Markov Models
  • Five years’ experience wif R, SAS, WEKA, H2o and PYTHON
  • Tree Years’ Experience wif Scala programming language on spark
  • Five years’ experience wifin Hadoop ecosystem / Big Data environments (HIVE, PIG, No-SQL …etc.
  • Five years’ experience creating building / delivering reporting dashboards wif Tableau, R SAS and Alteryx
  • Strong General programming skills and noledge in C++, Java, MATLAB and Excel/VBA
  • Spark, Cloudera, Hortonworks Sandbox experience
  • Strong noledge 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 noledge and expertise wif Neural Network frameworks such as Caffe, Theano, TensorFlow, H2o …etc.
  • Ability to work wif different Machine Learning libraries/ frameworks for integration

TECHNICAL SKILLS

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(noledge)

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

Hardware Platforms: Intel Series

PROFESSIONAL EXPERIENCE

Confidential

Senior Data Scientist

Responsibilities:

  • Created AML POC for: Data Gathering Search and Evidence Automation
  • Case Selection and Cognitive Automation/Micro-Decisioning
  • 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

Portfolio Analyst

Responsibilities:

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

Confidential, NJ

Portfolio Analyst

Responsibilities:

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

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