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Principal Data Scientist Resume

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Plano, TX

PROFESSIONAL SUMMARY:

  • Accomplished data scientist with experience in driving business value leveraging machine learning and AI. Responsible for (or Key stakeholder) in building FOAK (first of a Kind) real time transaction processing system resulting in $6M savings to the company in a given year and $ 15 M going forward.
  • Responsible for leading and developing team of Data Scientists and Data Engineers, including interviewing and mentoring resources.
  • Responsible for managing client relationships including building credibility, establish rapport, and maintain communication with stakeholders Confidential multiple levels.
  • Excel in thinking strategically and solving business problems/challenges by covering concepts into business models
  • Passion for excellence in each piece of work being performed and commitment to continuous skills development by learning new technologies.

TECHNICAL SKILLS:

Supervised and Unsupervised Machine learning techniques such as Regression, Random Forest, Reinforcement Learning, Neural Networks, Deep Learning, Clustering, Market basket Analysis and Optimization techniques.R, Java, Hive, C, C++, Spark and PySpark, Horton Works Spark, Hadoop and Hive .

PROFESSIONAL EXPERIENCE:

Confidential, Plano, TX

Principal Data Scientist

Responsibilities:

  • Accountable for execution and on - time delivery of planned Data science milestones for different projects
  • Develop and sustain strong relationships between internal stakeholders, external vendors, cross-functional peers, and senior management
  • Lead a team of data scientists to explore & process data from disparate sources and generate actionable insights and evaluate tools & cutting-edge AI/ML/DL techniques to build predictive modeling solutions that improve business outcomes
  • Interface with data engineering teams to integrate data collection, data quality and core model output into production systems
  • Build, motivate & mentor a team of data scientists to grow their skills and careers
  • Automating Real Time End to End Incident Management Solution
  • Leading the development, deployment and operationalization of End To End Incident management Solution using Real Time Streaming Data.
  • Using Machine Learning to learn Alarm Patterns, behaviors and relationship with associated events to predict future events and proactively fix issues before a customer files a ticket.
  • Model deployed using Lambda architecture with continuous Reinforcement learning to improve Model’s accuracy.
  • Using Optimization Techniques to optimize Carrier Switching and Server Utilization across Confidential & Confidential
  • Using Deep Generative Models to Predict Failures across Logs Generated from IT Infrastructure

Confidential, Plano, TX

Senior Data Scientist

Responsibilities:

  • Drove significant business value and reduced the cost ( ~$5M) of healthcare by using data Mining Techniques to Identify Low Cost Vendors within Certain Radius to help company negotiate prices with Existing vendors.
  • Developed Predictive models using ML to identify Traits of high performers using their Employee engagement and collaboration data like outlook, Email, Ole etc.
  • Use Big Data to Identify Best Practices in Internal Collaboration.
  • Developed Machine Learning Models using Random Forest, Unsupervised Clustering techniques, market basket Analysis to Predict the Patterns of Daily Living of Seniors living in their Houses using Streaming Data Collected through Sensors Placed in the house.

Confidential, Richardson, TX

Senior Software Engineer

Responsibilities:

  • Used statistical models to predict factors causing yield loss in semiconductor fabrication process.
  • Implemented complex Statistical Algorithms in Java such as Random Forest, Regression, Step Wise Regression
  • Implemented and tested an enhancement feature requests to improve product functionality.
  • Resolved customer issues by establishing workarounds and solutions and by debugging and creating defect fixes.
  • Highly respected by customers for providing excellent support and user .
  • Experienced in delivering a quality software product and Bug Fixes under tight time constraints.
  • Lead contributor in the deployment of 2 major Software prototypes into finished Product that resulted in a major selling point for Software Sales.

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