pushpa sharma
Data Executive (SQL)AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 Executive (SQL) with 1+ years in Data Analysis, MIS Reporting & Dashboard Development
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, Prayagraj
Master of Science · Statistics
August 1, 2022 – June 30, 2024
Udai Pratap College, Varanasi
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 and reporting roles, aligning well with a 'Data Executive (SQL)' target role. The educational background in Statistics further strengthens this fit. The experience at Sparkl Edventure Pvt. Ltd. (internship and full-time) shows some loyalty and progression within a company. However, the project diversity is not explicitly detailed, and the breadth of skills, while relevant, could be expanded with more advanced data engineering or machine learning concepts for broader cultural adaptability in diverse data environments.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight a focus on data accuracy, consistency, and efficiency, which are crucial for operational roles. The emphasis on automating reports and streamlining processes suggests a proactive approach to improving operational workflows. However, the psychometric test score is 0, which indicates insufficient data to assess logical reasoning, work attitude, stress handling, and team collaboration. This is a significant gap in evaluating soft skills and operational fit.