نبذة عني
PROFESSIONAL PROFILE- DATA ANOTATION SPECIALIST and DATA ANALYST
• Ability to learn & adapt quickly to challenges, & to handle difficult situations under pressure
• Exceptionally dedicated professional with keen inte…
PROFESSIONAL PROFILE- DATA ANOTATION SPECIALIST and DATA ANALYST
• Ability to learn & adapt quickly to challenges, & to handle difficult situations under pressure
• Exceptionally dedicated professional with keen interpersonal, communication, and
organizational skills for the diverse modern workplace.
• Results-focused team leader with advanced skills in data annotation and training
• Strategic mindset to orchestrate critical initiatives for success, partnering with cross-functional
teams and external stakeholders efficiently.
الخبرة
Senior Manager PV, DATA ANNOTATION SPECIALIST and TRANSCRIPTIONIST
• Oversee several functions ranging from AI training, data annotation, quality assurance
and oversight, and creative writing.
• Collaborate with other team members on project requirements and goals, and to communicate any issues or challenges related to data annotation.
• Utilize various annotation tools & software platforms to annotate data efficiently & accurately
• Carry out transcription and search engine evaluator duties.
• Monitor progress of data projects and provide timely updates to stakeholders
• Stay up-to-date on the latest developments in Machine Learning and NLP models
• Oversee the acquisition, & validation of data sets for use in training & validating ML models
• Analyze and evaluate data sets and provide sound recommendations to the clients
• Develop an understanding of data collection techniques, data cleaning, and data validation.
• Manage a team of data professionals and ensure data accuracy and quality
• Think creatively about how to acquire, annotate, and use data in a meaningful way
• Ensure compliance with all applicable laws and regulations
• Develop and maintain relationships with external vendors and partners
Senior Manager PV, DATA ANNOTATION SPECIALIST and TRANSCRIPTIONIST
<p>Oversee several functions ranging from AI training, data annotation, quality assurance and oversight, and creative writing.<br>
Collaborate with other team members on project requirements and goals, and to communicate any issues or challenges related to data annotation.<br>
Utilize various annotation tools & software platforms to annotate data efficiently & accurately.<br>
Carry out transcription and search engine evaluator duties.<br>
Monitor progress of data projects and provide timely updates to stakeholders.<br>
Stay up-to-date on the latest developments in Machine Learning and NLP models.<br>
Oversee the acquisition, & validation of data sets for use in training & validating ML models.<br>
Analyze and evaluate data sets and provide sound recommendations to the clients.<br>
Develop an understanding of data collection techniques, data cleaning, and data validation.<br>
Manage a team of data professionals and ensure data accuracy and quality.<br>
Think creatively about how to acquire, annotate, and use data in a meaningful way.<br>
Ensure compliance with all applicable laws and regulations.<br>
Develop and maintain relationships with external vendors and partners.</p>
Data ANALYST / Senior Clinical Research Associate
<p>RNA/DNA extraction and PCR analysis of Covid-19 samples.<br>
Create and implement policies and procedures to ensure the quality and accuracy of data sets.<br>
Gathering and collecting Covid-19 data.<br>
Analyzing data using Microsoft excel and Google sheets.<br>
Excellent analysis and correct interpretation of PCR results for all Covid-19 laboratories.<br>
Effectively discharging other duties as assigned by the team leads.<br>
Work with data managers and generate outputs to support data cleaning, enhance data integrity and ensure timely, targeted, and accurate deliverables.<br>
Ensure quality and timely delivery of clinical trial data in preparation for data review and statistical review.<br>
Address data issues identified by cross-functional team members.<br>
Ensure accuracy of clinical trial results for internal and external audiences (e.g., regulatory authorities).</p>