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Data Science with 2+ years in Data Collection & Annotation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Operations Professional with over two years of experience at Amazon specializing in workflow optimization, data integrity, and high-impact task execution. Adept at analyzing operational data to eliminate inefficiencies, coordinating cross-functional processes, and maintaining precise standards under strict timelines. Proven track record of boosting task efficiency by up to 20% and training team members to maintain high accuracy and quality across large-scale projects.
Lovely Professional University
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2020
NRI Junior College
Intermediate (M.P.C)
N/A – May 31, 2016
St. Alphonsa Convent High School
High School
N/A – May 31, 2014
Amazon
ML Data Associate (Operations, Data Collection & Annotation)
March 1, 2024 – Present
Hyderābād, Telangana, India
Online Food Delivery Application (Qt)
June 19, 2026 – Present
Led the user interface design and structural workflow implementation for a multi-user food delivery application, managing a 5-member team to deliver seamless software usability.
Smart Street Light System & Smart Helmet (IoT)
June 19, 2026 – Present
Developed prototype Internet-of-Things (IoT) systems utilizing smart sensors to minimize city energy consumption and automate protective safety monitoring for riders.
Cybersecurity Analyst Professional Certificate
IBM
October 1, 2024 – Present
Journey 2 Salesforce Certificate
Salesforce
September 1, 2023 – Present
Oracle Certified Foundations Associate
Oracle
August 1, 2023 – Present
Google IT Support Professional Certificate
September 1, 2020 – Present
Excel Skills for Business: Advanced
Coursera
September 1, 2020 – Present
Certified Cyber Security Expert (Grade 1)
Safe Security
April 1, 2017 – Present
Cultural Fit Analysis
The candidate's experience at Amazon as an ML Data Associate, while not a pure Data Science role, involves critical data handling and operational aspects relevant to the field. Their academic projects, though not directly data science-focused, show an interest in technology and problem-solving. The diverse range of certifications, from IT support to cybersecurity and Salesforce, indicates a broad interest in technology and a commitment to continuous learning. However, the lack of specific data science projects or roles might indicate a gap in direct cultural alignment with a specialized Data Science team, requiring a significant transition.
Soft Skills & Operational Fit
The candidate demonstrates strong operational skills, including process optimization, workflow mapping, and project coordination. Their experience at Amazon highlights an ability to maintain rigorous data quality, achieve high processing accuracy, and collaborate effectively within multi-functional teams. The role also involved training new team members and creating detailed documentation, indicating good communication and mentoring abilities. The psychometric test score of 246/500 suggests potential areas for development in logical reasoning, work attitude, or stress handling, which could impact operational fit in high-pressure data science environments.