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Data Analyst with 1+ years in Data Analytics & PySpark
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 1.5 years of experience in data analytics, SQL querying, Python development, PySpark processing, and business intelligence reporting. Skilled in transforming large datasets into actionable insights, automating reporting work-flows, improving data quality, and supporting data-driven business decisions. Strong expertise in data analysis, dashboard development, ETL processes, and stakeholder reporting.
M.S.S. College of Engineering and Technology, Jalna
Bachelor of Technology · Computer Science
N/A – June 30, 2024
Shri Chakradhar Swami College, Jalna
Higher Secondary Certificate · Science
N/A – May 31, 2020
Capgemini
Data Analyst
January 1, 2025 – Present
India
Databricks Certified Data Analyst Associate
Databricks
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a Data Analyst at Capgemini, a large consulting firm, suggests an ability to work in structured environments and collaborate with diverse teams. The listed skills and achievements align well with typical data-driven organizational cultures. The Databricks certification further indicates a commitment to continuous learning and staying current with industry tools. The candidate's education in Computer Science provides a strong technical foundation.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with business stakeholders to gather requirements and deliver analytical solutions, indicating good communication and teamwork skills. Automation of reporting workflows suggests a proactive approach to improving efficiency. The focus on quality checks and validation frameworks points to an attention to detail and commitment to data reliability.