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Data Analyst with 1+ years in AI/ML Data Preparation & Analysis
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Results-driven Data Annotation Specialist with 1.2 years of experience in Data Validation, Quality Assurance, Data Labeling, Annotation, and Machine Learning Data Preparation. Currently working as an Associate Process Executive at Randstad, specializing in high-accuracy data annotation for AI/ML model development. Skilled in Data Quality Management, Workflow Optimization, Cross-functional Collaboration, and Process Improvement, with a strong commitment to delivering reliable and quality-assured data assets for business and technology solutions.
D.Y Patil university
MBA · Artificial Intelligence & Machine Learning
August 1, 2024 – June 30, 2026
Rashtrasant Tukadoji Maharaj Nagpur University
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2023
Randstad Private Limited
Associate Process Executive – Data Labeling & Annotation
April 1, 2026 – Present
Pune, Maharashtra, India
Wipro Technologies Limited
Associate Analyst – Data Management
June 1, 2024 – May 1, 2025
Pune, Maharashtra, India
Sales Data Analysis Dashboard
June 17, 2026 – Present
Analyzed sales datasets using Excel and SQL to identify revenue trends, customer behavior, and business performance metrics. Performed data cleaning, validation, and transformation to improve data quality and reporting accuracy. Developed an interactive Power BI dashboard with KPIs, charts, and visualizations to support data-driven decision-making. Generated actionable insights through data analysis and reporting, helping track sales performance and operational trends.
AWS Cloud Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an academic project in sales data analysis and professional experience in data labeling/annotation and data management, indicates a broad interest in data-related fields. The pursuit of an MBA in AI & Machine Learning further demonstrates an ambition to grow within the data science ecosystem. The roles at Randstad and Wipro, while not strictly 'Data Analyst' positions, involve core data handling and quality assurance tasks that align with the foundational requirements of a Data Analyst. The candidate appears to be a good cultural fit for organizations that value data integrity, continuous learning, and cross-functional collaboration.
Soft Skills & Operational Fit
The candidate's resume highlights professional skills such as Attention to Detail, Analytical Thinking, Problem Solving, Communication, and Team Collaboration. These soft skills are highly valuable for a Data Analyst role, where precision, critical thinking, and effective communication of insights are paramount. The experience in data quality audits and adherence to strict quality standards suggests a strong operational fit for roles requiring meticulous data handling and process adherence.