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Senior Data Science Engineer Resume

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Holmdel, NJ

PROFESSIONAL PROFILE:

  • A versatile engineer, mathematician and probabilist
  • Probability Theory and Mathematical Statistics
  • Data analysis time series and forecasting, including anomaly detection, estimation, inference, hypothesis testing, regression analysis, life time analysis models, parametric and semi - parametric methods, data visualization, machine learning, Monte Carlo simulation and variance reduction techniques, stochastic calculus and ordinary stochastic differential equations
  • Mathematics of finance including modeling asset returns, Markowitz portfolio theory, value-at-risk, expected shortfall, Black-Scholes analysis, pricing American and European style options, Capital Asset Pricing Model, General Risk-neutral Asset-pricng.
  • Independent research in econometrics
  • Asymptotic methods and Perturbation Theory
  • Differential equations and numerics
  • Graph Theory, knowledge of graph algorithms, critical path analysis, maximum-flow-minimum-cut algorithms

COMPUTING SKILLS:

  • R statistical programming language (RStudio, Shiny)
  • Proficient in SQL and HiveQL
  • Matlab and Octave
  • C++/STL
  • Knowledge of Python
  • Microsoft Office
  • Linux/Unix environment and Cygwin

WORK EXPERIENCE

Confidential, Holmdel, NJ

Senior Data Science Engineer

Responsibilities:

  • Survival and life time modeling and analysis
  • Mentoring and knowledge transfer
  • Tools used: R, RStudio, ODBC, Rspark, SQL, Hive and Microsoft Office

Confidential, Schaumburg, IL

Principal Engineering Data Scientist

Responsibilities:

  • Time series analysis and forecasting
  • Anomaly Detection
  • Providing leadership in Data Science by encouraging the use of quantitative analytics in decision making throughout the company
  • Knowledge transfer giving tutorials to groups and individuals
  • I was given the USCC 2H17 Excellence Award for just-in-time forecasting of USCC backhaul capacity needs

Tools: used: R, RStudio, ODBC, SQL, HiveQL, LaTex, Microsoft Office, Big Data Environment

Confidential, Chicago, Illinois

Senior Data Scientist

Responsibilities:

  • Built a model for predicting the likelihood of binds for new applicants
  • Built a retention model for Confidential clients
  • Built a model for predicting what set of products a visitor to Confidential websites might be interested in
  • Knowledge sharing by giving individual and group tutorials to coworkers
  • Fielding mathematical questions on an ad hoc basis

Tools: use: R, RStudio, SQL, Cygwin, Windows and Office, Microsoft SQL Management Studio

Confidential

Researcher

Responsibilities:

  • Carrying out independent research in financial econometrics, data analysis, time-series and forecasting. I post some of my results on GitHub

Tools: used: R, Matlab, RStudio, Python, Eclipse, LaTeX, Linux and Windows, Microsoft Office

Confidential

Consultant

Responsibilities:

  • Provided client with tutorial on the econometrics of stocks, and stock option pricing and derivatives
  • Provided code that implements the mathematics and also helps visualize the data

Tools: used: R, Matlab and LaTeX on Linux, Windows 7 and Microsoft Office, Visio

Confidential

System Architect

Responsibilities:

  • Architecture and algorithms for software-defined networks SDN, and mathematical modelling

Tools: used: C++/STL, Eclipse CDT, and OpenOffice on Linux

Confidential

Senior Developer

Responsibilities:

  • Carried out exploratory research, mathematical modelling and analysis and C++ development.

Tools: used: C++/STL, Microsoft Visual Studios, Microsoft Office

Confidential

Chief Architect

Responsibilities:

  • Responsible for the architectural design of Confidential CASTE and CaRTE products
  • Responsible for implementing Confidential CASTE and POSCaRTE
  • Responsible for providing engineering services to external client IPeak Networks of Kanata.

Tools: used: C++/STL, C, Eclipse CDT, LaTex, on Linux, Windows, Visio

Confidential

Senior real-time system architect

Responsibilities:

  • Responsible for devising architectures amenable to deterministic analysis, working out the mathematical tools for schedulability analysis of these architectures and delivering working prototypes of these tools; as well as exploratory research.
  • Took courses in FAA DO-178B and DO-254.
  • Acting as an internal consultant in the areas of mathematics and statistics to co-workers from different groups.
  • Assisting co-workers by giving tutorials and seminars.

Tools: used: C++/STL, Python, SystemC, Eclipse CDT, LaTeX, Microsoft Office on Windows and Cygwin, SmartDraw

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