
IoT | Programming | Development
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SmartAssist_Vision_Data_Analysis
June 14, 2026 – Present
AI-powered mobility aid analytics dashboard featuring object detection performance evaluation, AI confidence analysis, safety metrics, and interactive data visualization using Python and Raspberry Pi.
View ProjectSmartAssistVisionMobilityAid
June 13, 2026 – Present
AI-powered wearable mobility aid for visually impaired individuals using MobileNet-SSD, Raspberry Pi 4, OpenCV, Ultrasonic Sensing, and Voice-Guided Navigation.
View ProjectAgriConnect-SmartFarming
December 3, 2025 – December 3, 2025
The project develops an IoT-based Smart Agriculture System using ESP32 to monitor soil moisture, temperature, and humidity in real time. It automates irrigation via a water pump and uses MQTT and ThingSpeak for communication and cloud monitoring, with a Raspberry Pi Node-RED dashboard for live data and pump control.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards practical, hands-on development, particularly in IoT and AI. The diversity of projects (Smart Farming, Mobility Aid) indicates a problem-solving mindset. However, the projects are primarily personal and lack team collaboration context. The target role is 'Data Scientist', and while Python and data analysis are present, there's no explicit experience in advanced statistical modeling, machine learning pipelines, or big data technologies typically expected for a senior data scientist. This suggests a potential mismatch in the depth of data science specific skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.