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data scientist (project intern)

  • Dive in and work with our data science team to develop new data-centric products involving new and innovative algorithms
  • Perform analysis and develop analytical models
  • Process Optimization – Propose potential research-on-research tests to improve current  methodologies, improve response and compliance
  • Identifying opportunities for improvement within existing software applications and frameworks
  • Using current programming languages and technologies, writes code, completes programming, and performs testing and debugging of applications
  • Participating in development of analytical models using Machine Learning

data scientist

  • Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources.
  • Developed data-gathering and reporting structures from ground up and strategized methods capitalizing on system features.
  • Developed predictive regression models on telematics data and deployed on edge devices like android.
  • Created machine learning models for vehicle movement trajectory detection, anomaly detection and filtration of data using Low/high pass filter, Lane changing assistance. 

data scientist

  • Exploit the company’s databases in order to calculate different KPIs, which I then show through different dashboards, supporting the different Business Units in the decision-making process.
  • Implement simple predictive models to forecast core metrics.
  • Project leader in different initiatives and worked side-by-side with various managers and directors.
  • Dictated several SQL courses and instructed many of my colleagues in the correct use of database engines and Teradata best practices

data scientist

  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets. 
  • Assign and oversee the daily tasks of technical personnel while ensuring all subordinates are actively working toward established milestones
  • Hold regular technical team meetings to determine progress and address any questions or challenges regarding projects
  • Determine and define clear deliverables, roles, and responsibilities for staff members required for specific projects or initiatives
  • Research and evaluate hardware and software technology options and weigh the cost/benefit analysis when making large purchases on behalf of the company 

data scientist

  • Coordinate the on-boarding process of several clients
  • Assure the integrity of project data, including data extraction, storage, manipulation, analysis and visualization in a concise and actionable format 
  • Prepare daily, weekly and monthly reports to monitor and gain insights into financial performance
  • Provide quick responses to ad-hoc client queries
  • Design and implement user interface for web applications that meet project goals and client needs, providing the back-end and front-end layers as well as code optimization