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Data Executive with 1+ years in data analysis, visualization, and MIS 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-driven Analytics Professional with 1.5+ years of experience in data analysis, MIS reporting, dashboard development, and business performance monitoring. Proficient in Excel, SQL, Python, Power Bi for data extraction, analysis, visualization, and reporting. Skilled in managing large datasets, tracking KPIs, identifying trends, improving data quality, and delivering actionable insights to support strategic decision-making. Experienced in reporting automation using API scripts, process optimization, and cross-functional collaboration to drive operational efficiency and business growth.
University of Allahabad
Master of Science · Statistics
August 1, 2022 – June 30, 2024
Udai Pratap College
Bachelor of Science · Maths, Physics & Statistics
August 1, 2019 – June 30, 2022
Sparkl Edventure Pvt. Ltd.
Data Executive
February 1, 2025 – Present
Gurgaon, Haryana, India
Sparkl Edventure Pvt. Ltd.
Analytics & Operations Intern
October 1, 2024 – February 1, 2025
Gurgaon, Haryana, India
MedTourEasy
Data Analytics Trainee
July 1, 2024 – July 28, 2024
New Delhi, Delhi, India
Analytics & Operations Intern
Unknown
June 1, 2026 – Present
Data Analytics Trainee
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience in data analysis roles within two companies, including an internship and a full-time position at Sparkl Edventure Pvt. Ltd. This shows some stability and growth within one organization. The projects and roles align well with a 'Data Executive (SQL)' position, demonstrating a clear career path in data analytics. However, the diversity of industries or project types is limited to education technology and medical tourism, which might suggest a narrower exposure to different business contexts.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight a focus on data accuracy, consistency, and reliability, indicating attention to detail. Their work on optimizing reporting workflows and automating reports suggests a proactive approach to efficiency. The role involves cross-functional collaboration, which implies good teamwork and communication skills, though these are not explicitly detailed.