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Data Analyst with 2+ years in Industrial IoT Systems & Data Processing
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 a Computer Science Engineering background and hands-on experience in industrial IoT systems, data processing, dashboard development, and operational analytics. Skilled in SQL, Python, Pandas, NumPy, Excel, and Power BI. Experienced in transforming machine-generated data into actionable insights through reporting, visualization, and automation.
Unknown
B.E. · Computer Science Engineering
N/A – Present
Manufacturing Industry
IoT Support Engineer
January 1, 2024 – Present
India
PLC Real-Time Data Logging & Monitoring System
June 23, 2026 – Present
Built automated data pipelines using Python and Pandas with CSV/Parquet storage.
Real-Time Industrial Dashboard
June 23, 2026 – Present
Developed KPI dashboards and live monitoring reports using Power BI.
Industrial Data Analysis Project
June 23, 2026 – Present
Processed PLC/Kepware logs, performed cleaning, analysis, and reporting.
MySQL Certification
Unknown
June 1, 2026 – Present
Python Programming Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and experience are primarily focused on industrial IoT and manufacturing, indicating a strong alignment with roles requiring domain-specific data analysis. The breadth of skills is somewhat focused, but the project diversity within the industrial context is good. The candidate's current role and projects suggest a practical, results-oriented approach.
Soft Skills & Operational Fit
The candidate's experience as an IoT Support Engineer suggests an ability to troubleshoot and monitor systems, which implies problem-solving and attention to detail. The project descriptions indicate a focus on practical application of data analysis skills.