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Data Scientist Resume

SUMMARY:

  • Strong statistics, math, physics, computational and programming skills backed by multi - disciplinary education
  • Core courses taken include Biostatistics, Advanced statistics, computational statistics, machine learning using R and Python, Big data analysis (Hadoop, MapReduce and CDH ecosystem), SAS, Stochastic processes, physics, advanced calculus, linear algebra, ArcGIS, Java and C++ programming, SQL, NoSQL
  • Experience in handling both structured and unstructured data
  • Machine learning using Hadoop and MapReduce to characterize state wide geospatial data

COMPUTER SKILLS:

MS SQL 2008, SSRS, SSIS, Linux, Hadoop, MapReduce, SSMS, SSIS, SSRS, Access, R, Python, SQL, SAS, C++, SPSS, VB, Tableau, Perl

WORK AND RESEARCH EXPERIENCE:

Data Scientist

Confidential

Responsibilities:

  • Writing optimization codes using python to derive rules for deciding optimal sampling and survey methods.
  • Building tables in SSMS and writing SQL code to run quarries. Developed a VBA automation tool with an updated feature to generate adhoc and monthly analytical reports and presented result summary using Tableau.
  • Experience with SSMS, SSRS, SSIS. Providing Data science driven solutions based on client’s inquiry. Conducting Data mining and Machine learning on large data using python and R software.
  • Developing complex multivariate statistical models using different weighting methodologies. Conducting trend, risk and uncertainty analysis using SAS and SPSS.
  • Played major role in the research, design and implementation of new geophysical methodology and software application.
  • Review recent advances in Data science methodologies and adopting new techniques to increase capabilities and facilitate existing workflows.

Data scientist

Confidential

Responsibilities:

  • Statistical risk analysis using logistic regression in SAS, GIS and R for sinkhole hazard prediction
  • Writing python scripts to extract useful information from unstructured data and prepare input data
  • Statistical analysis of the correlation between geophysical and geotechnical data using SAS, conducting MANOVA and ANOVA hypothesis testing using data from several sinkholes affected sites in Florida

Project Team Leader

Confidential

Responsibilities:

  • Project team leader of a multi-disciplinary task force involved in risk analysis and problem solving of complex geohazard problems in dam foundations, reservoirs, unstable slopes and active fault areas
  • Using statistical risk analysis and numerical modeling to design and implement mitigation measures

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