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Data Analyst with 2+ years in Data Analytics, Machine Learning & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am skilled in data analytics and have 2 years' experience working with large data sets for both manufacturer and retailer, with the goal of identifying trends and patterns. Experienced in monitoring data types from all data sources. Proven track record for giving quantitative information to colleagues and client side. Completed projects on predictive modeling and exploratory data analysis (EDA). Good communicator and have ability to work collaboratively with team.
ST Joseph College, Trichy
M.Sc. · Data Science
August 1, 2020 – June 30, 2022
Loyola College, Chennai
B.Sc. · Computer Science
August 1, 2017 – June 30, 2020
Nielsen IQ
Data Analyst
October 1, 2022 – November 1, 2024
Chennai, Tamil Nadu, India
Power BI
Unknown
June 1, 2026 – Present
Generative AI: Introduction & Applications
Unknown
June 1, 2026 – Present
Python for Machine Learning
Unknown
June 1, 2026 – Present
Basics of EDA
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Nielsen IQ, a global measurement and data analytics company, suggests exposure to a professional, data-driven culture. Their involvement in projects like 'Generative AI-Powered Data Insights Assistant' and 'Automated Data Validation and Reporting System' indicates an interest in innovation and efficiency. The awards received ('NOC Star award for Best Performer of the Month', 'Q3 Award for Most Valuable Team play') suggest a proactive and team-oriented approach. The breadth of skills and project diversity (EDA, stock market prediction, sentiment analysis) indicate adaptability and a willingness to explore different domains within data science.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in data validation, quality assurance, and process automation. Their collaboration with various teams and client-facing interactions suggest good teamwork and communication skills. The ability to conduct Root Cause Analysis indicates a problem-solving mindset. However, without specific psychometric or English test scores, a deeper assessment of soft skills like stress handling, logical reasoning, and communication clarity is limited.