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Data Analyst with 1+ years in Geospatial Data & Reporting
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with experience in data validation, data quality analysis, reporting, and process improvement within geospatial projects at TCS. Adept at problem-solving, identifying data inconsistencies, and collaborating with cross-functional teams to deliver accurate business insights.
Zenex Vision Degree College, Nellore, VSU
Bachelor of Science · Statistics
August 1, 2021 – June 30, 2024
Sri Chaitanya Jr. College, Nellore, BIEAP
Intermediate (M.P.C)
June 1, 2019 – May 31, 2021
Tata Consultancy Services
Data Analyst
January 1, 2025 – Present
Hyderābād, Telangana, India
Completed training in Core Python fundamentals, including variable, loops, function and OOP concepts, with hands-on experience in developing basic Python programs.
Unknown
June 1, 2026 – Present
Completed TCS ION courses on communication skills, email etiquette, presentation skills, and professional development.
TCS ION
June 1, 2026 – Present
Secured 3rd prize in group quiz competition conducted by National statistics Office.
National Statistics Office
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services, a large service-based organization, suggests an ability to work in structured environments and collaborate across teams. The mention of participating in continuous learning and upskilling, along with certifications in communication and professional development, indicates a proactive attitude towards growth and a potential fit for a culture that values continuous improvement and professional conduct. The project diversity is limited to geospatial data, but the foundational skills are transferable.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as communication, problem-solving, time management, quick learning, team collaboration, and adaptability. These are crucial for operational efficiency and working within a team-oriented data analysis environment. The experience description also highlights collaboration and process improvement, indicating a good operational fit.