Jagyanseni Sethi

Python / SQL – CrateDB Intern

https://www.opentalent.in/jagyanseni-sethi

Bhubaneswar, indiaMember since October 28, 2025

Key Strengths

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.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score is 0, providing no objective data to assess cultural fit. While 'Teamwork' is self-reported, there is insufficient objective information to draw conclusions regarding the candidate's cultural alignment.

Soft Skills & Operational Fit

The candidate self-reports soft skills such as Teamwork, Problem-solving, Time-management, and Communication. Project work implies problem-solving capabilities. The vocational training suggests exposure to structured industrial environments. However, without objective psychometric test results (score 0), a comprehensive assessment of these attributes is not possible.

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Assessing your cultural and operational fit

Key Strengths

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.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Jagyanseni Sethi

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit