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IoT Engineer with less than a year in Python Development & System Integration
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Science Engineering professional with a strong foundation in Python development, Data Science, and IoT system integration. Experienced in building automated hardware solutions and managing data pipelines. Proven ability to translate complex technical requirements into functional software and embedded architectures.
[Name of Institution]
Diploma in Computer Science Engineering · Computer Science Engineering
N/A – June 30, 2024
Noorul Islam Centre for Higher Education
B.E. in Computer Science Engineering · Computer Science Engineering
N/A – June 30, 2027
SST Cloud
Data Science & IoT Intern
September 1, 2025 – June 1, 2026
Coimbatore, Tamil Nadu, India
Next Gen Delivery System
January 1, 2024 – December 31, 2024
• Designed and built an automated, IoT-enabled robotic cart utilizing line-following IR sensors and an ESP32-CAM module for real-time QR code detection and destination routing. • Integrated an L298N motor driver to control hardware mechanics, optimizing power distribution and motion accuracy. • Wrote clean, modular firmware to handle concurrent sensor data streams and vision-processing tasks.
Smart Zebra Crossing
January 1, 2024 – December 31, 2024
• Developed an intelligent traffic management prototype aimed at enhancing pedestrian safety through automated sensor networks. • Programmed microcontroller logic to sync pedestrian indicators with real-time vehicular flow data.
F1 Lakehouse
January 1, 2023 – December 31, 2023
• Developed an end-to-end data analytics platform to process, clean, and model complex Formula 1 datasets. • Utilized Pandas for data manipulation and engineered features to train predictive models using Scikit-learn. • Created comprehensive data visualizations with Matplotlib and Seaborn to communicate performance insights.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive and innovative approach to problem-solving, particularly in IoT and data science domains. The 'Next Gen Delivery System' and 'Smart Zebra Crossing' projects show an interest in practical, real-world applications and automation, which aligns well with an IoT Engineer role. The 'F1 Lakehouse' project indicates a breadth of interest in data analytics. The internship experience, though short, suggests an openness to learning and collaboration in a professional setting. The candidate's profile indicates a focus on practical application and continuous learning, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex technical requirements into functional solutions, suggesting strong problem-solving and practical application skills. Collaboration with engineering peers during the internship points to teamwork capabilities. However, without specific behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.