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Data Analyst with 1+ years in Smart Metering & MIS Reporting
To leverage strong analytical abilities, effective communication skills, and technical expertise in documentation and data management, with a focus on structured document preparation, smart meter data compilation, validation, and detailed report generation, ensuring accuracy, consistency, and compliance with established documentation standards while supporting organizational goals in a collaborative, growth-oriented environment. Dedicated and detail-oriented MIS & Data Analytics Professional with 1 year of experience in AMI Smart Metering and Smart City projects. Skilled in smart meter data validation, NOMC operations, MIS reporting, documentation management, and operational performance monitoring. Proven ability to analyze large datasets, identify exceptions, generate actionable reports, and coordinate with cross-functional teams for timely issue resolution. Proficient in MS Excel, SQL, Python, and reporting tools with a strong commitment to accuracy, quality, and process compliance.
ITM College
M.C.A.
August 1, 2024 – June 30, 2024
Dream Valley College
B.Sc. in C.S. · C.S.
August 1, 2020 – June 30, 2020
Green Field Higher Secondary School
Class 12
June 1, 2016 – May 31, 2016
Green Field Higher Secondary School
Class 10
June 1, 2014 – May 31, 2014
Genus Power & Infrastructures Ltd.
Data Validation & Analytics Engineer-AMI Smart Meter Project (AMISP)
December 8, 2025 – Present
India
The Developer Arena
Internship
March 1, 2025 – August 31, 2025
India
HPL
Data Engineer-Gwalior Smart City Project
January 1, 2025 – March 31, 2025
India
Command Line Contact Book
March 1, 2025 – August 31, 2025
Programming Language use in Project: Python
Cultural Fit Analysis
The candidate's experience in both AMI Smart Metering and Smart City projects, along with academic projects, shows a breadth of exposure to different data-intensive environments. The roles involve coordination with various stakeholders, suggesting an ability to work in diverse teams. The stated objective aligns with roles requiring strong analytical abilities and a collaborative approach, indicating a good cultural fit for data-driven organizations.
Soft Skills & Operational Fit
The candidate's experience highlights strong coordination skills with internal teams, clients, and field service teams. The ability to manage incident lifecycles and ensure SLA compliance indicates a detail-oriented and responsible approach to operational tasks. The objective and summary also emphasize effective communication and a collaborative, growth-oriented mindset.