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Senior Data Analysis with 4+ years in Machine Learning & Cloud
Data & AI Analyst with experience engaging clients to understand business problems and developing analytics and data science solutions that deliver measurable outcomes. Skilled at articulating complex Machine Learning and analytical solutions to both technical and non-technical clients. Hands-on experience building Machine Learning models in Python, collecting, cleaning, and engineering large datasets using SQL and PySpark, and applying statistical and data mining techniques to surface actionable insights. Proficient in data analysis and visualization using Power BI and Google Looker Studio. Experienced working on GCP cloud platform with working knowledge of Gen AI and Large Language Models (LLMs). Proven ability to guide and mentor junior team members while working independently and collaboratively in fast-paced, dynamic environments.
University of Madras
M.Sc. Information Technology · Information Technology
N/A – June 30, 2023
MGR Janaki College
B.Sc. Computer Science · Computer Science
N/A – June 30, 2021
Cognizant Technology Solutions
Senior Data & AI Analyst
November 1, 2023 – April 1, 2026
India
Thryve Digital LLP
Business Analyst - Data & Reporting
January 1, 2021 – June 1, 2023
India
Cultural Fit Analysis
The candidate's experience across two companies, including a Senior Data & AI Analyst role at Cognizant, indicates adaptability and a breadth of exposure to different organizational cultures. Their involvement in mentoring junior analysts and working with diverse datasets (healthcare claims, provider data) suggests a collaborative and versatile approach. The blend of technical skills (ML, Python, SQL, Cloud) with client engagement and problem-solving aligns well with a dynamic, results-oriented environment. The candidate's educational background in Information Technology and Computer Science provides a solid foundation for continuous learning and growth.
Soft Skills & Operational Fit
The candidate demonstrates strong client engagement and problem-solving skills, evidenced by their ability to translate business requirements into analytical solutions. Their experience in mentoring junior analysts suggests leadership potential and a collaborative work attitude. The focus on delivering data-driven insights and articulating complex findings to non-technical stakeholders indicates good communication and operational fit for roles requiring cross-functional collaboration.