Jagyanseni Sethi

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• Python & SQL Foundation: Candidate lists Python and SQL as languages, with Python used in personal projects involving data processing (Pandas) and machine learning models. MySQL is listed under software skills.
• IoT & Data Analytics Exposure: Projects demonstrate practical application of IoT sensors, real-time data acquisition, and data visualization (Power BI), aligning with data-intensive roles.
• Machine Learning Application: Experience in building and testing ML models for predictive maintenance and adaptive traffic management, showcasing an ability to apply AI concepts.
• Industrial Exposure: Vocational training at Rourkela Steel Plant provided exposure to industrial instrumentation, automation, SCADA, and DCS systems, offering a practical understanding of industrial environments.
• Problem-Solving Aptitude: Project descriptions indicate an ability to identify problems (predictive maintenance, traffic congestion) and propose technical solutions.
• Internship Alignment: The candidate's academic stage, project work, and vocational training are consistent with the profile of an intern seeking a Python/SQL-focused role.