Computer science
Resume examples

Tasked with transferring data into new formats to make the information more appropriate for analysis. Built analytical tools to automate the data collection process and decrease the amount of time for reporting and suggesting technological advancements and/or changes.

• Created and improved computer software and hardware under the direct supervision of the lead data scientist and computer engineers.
• Helped develop streamlined algorithms to reduce the amount of processing time and make computer tasks more efficient.
• Tested scalable schema designs, relational database, query performance, workflow optimization, and documentation.
• Developed significant and concise analytic objectives according to business goals and initiatives and under the guidance of department supervisors.
• Designed and built interactive dashboards, machine learning models, and innovative analytics tools using a variety of programming languages.

Determined computer and system requirement needs. Analyzed experimental results as directed by the senior computer scientist. Drafted, reviewed, and proofread reports and studies for publication. Implement innovative solutions to support lead scientists to problem solve complex situations.

• Supported senior computer scientist in generating research ideas and assisted in designing algorithms, software, and hardware.
• Interfaced with Information Technology Architects and Quality Assurance Leads in support of the senior computer scientist.
• Applied computer science principles and concepts in the research and development in the field of machine learning.
• Validated data and user acceptance testing (UAT), and scheduled and monitored processes for calculations.
• Collaborate with other departments and with all levels of management as directed by the senior computer scientist.

Collaborated with product managers in outlining data analytics challenges and developing sophisticated algorithms for enhanced accuracy in predictions. Assisted with data collection, cleaning, and pre-processing.

• Revitalized the data analytics function by developing an innovative analysis system that accelerated the extraction of insights from large data sets.
• Worked closely with peers in the creation and implementation of new machine learning algorithms and predictive models.
• Created an algorithm to analyze employee productivity, leading to 98% success in employee management and task allocation.

Searched through large data sets for useful information to assist in the business decision-making process as directed by the lead data analyst and other key stakeholders. Demonstrated persistence, statistical, and engineering capabilities necessary in understanding biases and inconsistencies in data.

• Tasked to establish methodologies to improve algorithms to allow advancements in machine learning and cloud computing systems.
• Helped design new computer architectures to improve performance, effectiveness, and efficiency in computer software and hardware.
• Executed and troubleshot analysis workflow while maintaining excellent and comprehensive written records of activities.
• Collaborated effectively between the business department and data groups, by paying meticulous attention to detail and differentiating communication and presentation skills.
• Performed data exploration to understand end-user behavior and identify opportunities for improving software features.