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Data Scientist Resume

New York, NY

SUMMARY:

  • Data science, Predictive models with Machine learning algorithms and traditional statistical models, Cloud computing in Neuroscience, Neuroimaging, medical imaging and healthcare domain, Medical image processing, computational Neuroscience, Precision medicine, Personalized Medicine (predicting people at risk of diseases, re/hospitalization, cost of care, medication for each individual using advanced Data Science techniques)
  • With more than 15 - years professional experience using traditional and modern statistical methodologies and analyses, machine learning algorithms, computer programming, system analysis, design and delivery

INDUSTRIAL AND RESEARCH EXPERIENCE:

Confidential, New York, NY

Data Scientist

Responsibilities:

  • Reducing total medical cost and out of network utilization by identifying the opportunities in Hip surgery.
  • Pattern mining of different procedures that ends up to Hip surgery using Association rules.
  • Improved prediction of the likelihood of patients with congestive heart failure ( Confidential ) who are at risk of re-hospitalization within 30 days using logistic regression algorithms in order to outreach them and reduce cost of care.
  • Analyzed Confidential 's unstructured data from e-Prescription and surveys collected from Confidential Health insurance Customer Experience (call survey), IVR, Web, Chat, MyCigna Mobile, Claims, Home delivery pharmacy, Benefits using supervised and unsupervised algorithms and different text mining packages such as NLTK, Panda, Scikit, tm, qdap, caret, etc in R and Python
  • Built predictive models using clustering, SVM, Bayes, Elastic Net with evaluation of their performance for automatic classification of comments based on business-defined attributes
  • Built visualization reports using R, ggplot, Tableau and Looker
  • Published on GitLab and provided training support for other data analysts to use it
  • Ingested and operationalized datasets and codes on Hadoop using Hive, oozie, scoop, Hue, Cirro, Impala, sandbox, virtual environment, etc
  • Provided technical and training support for Confidential users for access and programming on Hadoop
  • Designed architecture for Confidential health care corpus: a lexical domain covering topics related to healthcare, including but not limited to treatment procedures, drug formularies, patient experience, medical terminologies, abbreviations, and Confidential specific words. This data can aid data mining initiatives, help interpret customer reaction, and even help improve Confidential utilization of evidence-based medicine.

Confidential, NYC

Research scientist, Postdoctoral Fellow

Responsibilities:

  • Acquired data by in-person acquiring MRI data from patients
  • Accelerated image processing speed by writing programs and building pipeline for automatic processing
  • Applied different machine learning algorithms to classify chronic lesions
  • Reduced manual intervention in data analysis by scripts and batch programming of preprocessing steps
  • Improved data analysis by designing strategic data analysis methodologies
  • Improved and automated quality control of data by writing scripts
  • Designed traditional statistical predictive models for analysis of longitudinal data
  • Prepared statistical graphs and presentation for conferences, wrote manuscript for journal submission
  • Trained graduate and undergraduate students, taught them MRI data analysis choosing statistical tests

Tools: SPM, VBM, FSL, T1w, T2w, DTI images acquired on 3T scanner

Confidential

Research Scientist in epidemiology and biostatistics

Responsibilities:

  • Project: Assessing the extent to which preeclampsia and other hypertensive disorders of pregnancy are related to maternal and infant outcomes such as preterm birth and perinatal mortality in Canadians (SAS programming)
  • Analyzed patient Hospitalization data from a large dataset (2006 -2014) using SAS
  • Created datasets and exposure variables
  • Provided outputs and results by computing descriptive statistics
  • Performed statistical analysis and prepared timely ad-hoc summary tables and graphs to answer questions

Confidential

Research scientist & PhD student in image analysis

Responsibilities:

  • Applied different machine learning algorithms to classify Orbital fat (fat around eyes) on T1w MRI (K-means clustering and Bayesian)
  • Decided, designed and performed statistical analysis of cross-sectional and longitudinal data
  • Presented results (oral and poster) at international conferences
  • Published peer reviewed papers

Confidential

Research Scientist in image analysis

Responsibilities:

  • Managed, coordinated and analyzed a multi-center MRI-based longitudinal study of pediatric MS
  • Conducted original scientific research and published these findings in high quality journals
  • Resolved problem of data standardization by proposing and developing a novel normalization algorithm
  • Applied different machine learning algorithms to classify CIS vs MS lesions
  • Decided, designed and performed statistical analysis of cross-sectional and longitudinal data
  • Presented results (oral and poster) at international conferences
  • Prepared reports for site managers and principal investigators
  • Worked with principal investigators, collaborators and site managers in 24 brain imaging centers
  • Contributed in different MRI studies in children with CIS and children with MS in a longitudinal multidisciplinary study. The projects and their results are published in peer reviewed manuscripts and presented in national and international conferences. List of them can be find in Publication section of this resume.

Confidential

System analyst and database programmer

Responsibilities:

  • Designed internet cards with automatic userID and password creation for dialup internet connection
  • Developed a database for collecting userID and password and other information
  • Programmed a web-based administrative site to maintain user access to internet

Confidential

Teaching assistant

Responsibilities:

  • Developed an interactive website for institute of operating Systems and computer networks
  • Created a dynamic website for students to register online, add, remove courses, checking grades, submitting assignments using PHP programming and javascript
  • Planned and implemented an administrative database for that website using MySQL

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