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Data Science Consultant Resume

Philadelphia, PA

PROFILE:

Data Scientist & Engineer applying big data analytics solutions for over 13 years in healthcare, life science, nonprofit industries

SKILLS

Cloud: Amazon Web Services(AWS), Google Cloud, Microsoft Azure, IBM Cloud, Unix, Linux, MacOS, Windows

Database: MySQL, Oracle, Postgres, DynamoDB, MongoDB, Hadoop

Analytics: Python(Numpy, Pandas), R, Anaconda, Jupyter, TensorFlow, Spark, Tableau, D3.js, PowerBI

Programming: Unix, R(Shiny), Perl, Ruby/Rails, JavaScript (Node, Angular, React), SQL, Python(ScyPy,Numpy,Pandas)

Software: Git, SunGridEngine(SGE), HPC, MS Excel, MS Office

EXPERIENCE:

Confidential, Philadelphia, PA

Data Science Consultant

Responsibilities:

  • Provide big data analytics solutions including cloud architecture, data science, application development for clients in multiple verticals including biotechnology, pharmaceutical, healthcare and nonprofit industries
  • Orthopedic Care Platform: As Data Scientist, utilized payor claims data set of 3,000,000 patients to develop and implement a strategy for identifying high - value providers and optimal care plans using expert rules-engine & statistical analysis
  • Wound Care Software platform: As Technical Lead & Data Scientist, developed methods for clinical decision support implementing machine learning methods to predict wound time to heal & deep learning methods (Neural Network) to predict wound size based on wound images
  • Job Recruiting Platform: As Technical Lead & Data Scientist, led offshore team of developers to develop platform for automated evaluation of job candidates through supervised learning algorithms to predict top job applicants
  • Medication Adherence Platform: As Data Scientist, provided data analysis to measure performance of medication adherence software platform and reported results directly to pharmaceutical clients on a weekly basis; demonstrated using statistical and predictive methods that the platform enhances patient medication adherence benchmarks for key demographics
  • Forensic Genomics Platform: Operated as data scientist & engineer implementing an automated analysis and reporting pipeline for cold case DNA which accurately predicted, in silico, forensic phenotypes (gender, eye/hair color, ancestry)

Confidential, Philadelphia, PA

Bioinformatics Analyst

Responsibilities:

  • Worked with interdisciplinary team including Data Scientists, Clinicians, Biologists & Developers to develop a comprehensive platform for personalized medicine research in Organ Transplant Genomics
  • Implemented predictive analytics platform for organ transplant clinical & translational research using BigData tools including Python, Spark, Hadoop, Kafka
  • Coordinated and managed over 50000 patient genotype, phenotype and sample data for iGeneTRAiN(igenetrain.org), an international, multicenter consortium for Organ Transplant genetics research
  • Applied various statistical models and machine learning based algorithms to for DNA sequencing quality control, alignment and mapping, and variant calling

Confidential, Philadelphia, PA

Bioinformatics Analyst

Responsibilities:

  • Performed comparative genomic analysis using second-generation sequencing ( Confidential ) data from various cohorts including rejection in Hematopoietic Stem cell transplantation and Solid-Organ Transplantation (Heart, Liver, Lung and Kidney) in a large-scale Confidential funded clinical study
  • Applied various statistical models and machine learning based algorithms to determine optimal DNA sequence alignments and identify genomic variation within whole exome DNA sequencing data
  • Facilitated collaboration with global academic and industry partners through reporting of results data analysis and sharing of large data sets
  • Developed components of a computational pipeline for mapping & variant analysis of Confidential data using Python, Ruby, R
  • Utilized latest analysis software including BWA, GATK, SAMTools, VAAST, Annovar on high performance computing environment

Confidential, Glassboro, NJ

Adjunct Professor

Responsibilities:

  • Lectured and developed course material for Bioinformatics algorithms course for a class of 24 undergraduate and graduate Electrical and Computer Engineering students

Confidential, Pine Brook, NJ

Bioinformatics Analyst, Research & Development

Responsibilities:

  • Spearheaded the requirements definition, design and implementation of Confidential LIMS system for managing sample data and experimental workflows
  • Developed and implemented workflow and algorithm methods for proprietary GlycanMap software for glycan analysis and glycan quantification
  • Designed and built a Rails web application Rails for the generation and management of glycan and protein sequencing
  • Drafted and implemented operational SOPs to standardize processes for acceptance and management of client samples
  • Collaborated directly with domestic and international clients to present data analysis results and data visualization

Confidential, Philadelphia, PA

Programmer Analyst

Responsibilities:

  • Led requirements definition, design and implementation of a multi-component LIMS system for Complex Genetics Initiative, a large-scale biobank focused on cardiovascular and metabolic disease phenotypes.
  • Provided data mining and analysis for gene prediction and gene variation calling utilizing established machine learning methodologies
  • Developed and implemented, in collaboration with internal partners and clients, a genetic data workflow for storage, retrieval and analysis of DNA SNP Microarray data

Programmer Analyst

Confidential

Responsibilities:

  • Designed, developed and implemented web application for analysis & management of genomic data for a large-scale Cardiovascular Disease SNP-based array which was used to analyze over 220,000 individuals’ DNA and resulted in hundreds of new gene discoveries across dozens of phenotypes
  • Collaborated with internal and global partners to facilitate data reporting, data management and general troubleshooting
  • Project involved automated data extraction, transformation, and loading of data from public & internal sources into custom MySQL database. Utilized open source tools such as PHP, MySQL, HTML, CSS, Apache, Linux to contribute to additional web programming projects

Confidential, Collegeville, PA

Biomedical Data Specialist

Responsibilities:

  • Gathered & curated molecular information on marketed pharmaceuticals for TOP500 project
  • Developed Perl scripts to extract datasets derived from various pharmaceutical and bioinformatics databases
  • Utilized Confidential eUtilities interface to automate the extraction of data from Pubmed & protein database

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