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Data Analyst with 1+ years in government data examination and real-world analytics projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in government data examination and real-world analytics projects. Strong expertise in data cleaning, analysis, visualization, and dashboard development using SQL, Python, Excel, Power BI, and Tableau. Proven ability to translate complex datasets into actionable insights, improving decision-making accuracy and operational outcomes. Seeking data-driven roles in analytics, consulting, or business intelligence environments.
Bharati Vidyapeeth College of Engineering, Pune
Bachelor of Technology · Mechanical Engineering
August 1, 2020 – June 30, 2024
National Sample Survey Office (NSSO)
Data Examiner
July 1, 2025 – Present
India
Labmentix
Data Analyst Intern
June 1, 2025 – December 31, 2025
India
Data Analytics and Visualization Job Simulation
Accenture
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Visualization Job Simulation
TATA
June 1, 2026 – Present
Microsoft Excel by Kyle Pew
Udemy
June 1, 2026 – Present
Microsoft Power BI for Business Intelligence by Maven Analytics
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with government survey datasets (NSSO) and real-world analytics projects (Labmentix) shows a breadth of exposure to different data environments. The numerous job simulation certifications (Deloitte, Accenture, TATA) indicate a proactive approach to learning and a desire to align with industry best practices, which suggests a good cultural fit for a data-driven organization. The Mechanical Engineering background, while not directly related, shows a structured problem-solving mindset.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail and a focus on data accuracy, which are critical for a Data Analyst role. Their experience in collaborating with senior officials and ensuring compliance with data quality standards suggests good teamwork and adherence to operational guidelines. The remote internship experience indicates adaptability and self-management.