Help & Supportcareers@gravityer.com
Data Science with 2+ years in data analysis & 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
Ability to analyze pattern and trends in huge datasets. 24 months of experience in data analysis, skilled in SQL, Python, and Excel for data extraction and transformation in Product and Non-Product types i.e. manufacturer and retailer. The validation which I took ownership I ensured all the data are accuracy, reliable for the clients. Identify and solve customer issues efficiently. Coordinating with team in all critical situations by following up all regulation of the organization and matching up with goals.
ST Joseph College, Trichy
M.Sc. · Data Science
August 1, 2020 – June 30, 2022
Pope John Paul II College of Education, Pondicherry
B.Sc., B.Ed. · Mathematics
August 1, 2015 – June 30, 2019
Nielsen IQ
Data Analyst
October 1, 2022 – November 1, 2024
Chennai, Tamil Nadu, India
Machine Learning with Python
Unknown
June 1, 2026 – Present
Generative AI: Introduction & Applications
Unknown
June 1, 2026 – Present
Block chain with Cybersecurity
Unknown
June 1, 2026 – Present
Python for Data Analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Nielsen IQ, a global data and analytics company, suggests exposure to diverse data challenges and client requirements. The mention of creating SOPs and working on automation indicates a proactive and efficiency-driven approach. The awards listed (Most Valuable Team play, NOC star award) suggest a collaborative and high-performing individual. The breadth of skills from traditional data analysis to modern AI/ML indicates adaptability and a willingness to learn new technologies, which aligns well with dynamic team environments.
Soft Skills & Operational Fit
The candidate demonstrates strong ownership for client deliverables, effective communication with clients and onshore teams, and a proactive approach to process improvement (SOP creation, automation). Experience in UAT testing and root cause analysis indicates a methodical and quality-focused operational fit. The candidate's ability to extract practical implementation information from academic papers suggests a continuous learning mindset.