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Entry-level Data Science & IoT Engineer with academic project experience
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a B.Tech student in Electronics and Communication Engineering, Embadi Akash is developing a strong foundation in Data Analytics and IoT systems. With expertise in Python, SQL, and various data visualization tools, Akash has successfully engineered data pipelines, conducted extensive data analysis, and implemented real-time monitoring solutions in healthcare and environmental contexts. Demonstrating strong analytical abilities and leadership skills, Akash is poised to contribute to data-driven and IoT-focused engineering roles.
Indian Institute of Information Technology, Sri City
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Data Analytics on Gas Sensors for Healthcare Applications
June 1, 2025 – June 1, 2026
Engineered a structural data pipeline to clean, preprocess, and analyze raw sensor telemetry logs captured via hardware gas sensors stored in CSV format. Conducted Exploratory Data Analysis (EDA) using Python/Excel to isolate noise anomalies and visualize trend lines for environmental health tracking. Created clear visual reporting documentation to translate sensor thresholds into readable health alerts.
IoT Water Quality Monitoring & Data Pipeline
June 1, 2025 – June 1, 2026
Configured and calibrated pH and turbidity sensors on a NodeMCU microchip to collect live, real-time environment metrics. Implemented direct API streaming protocols to pipe unstructured sensor telemetry data into a structured Firebase Realtime Database. Map database outputs to live web endpoints to visualize metrics cleanly for monitoring.
Digital Twin Bridge Monitoring Framework
June 1, 2025 – June 1, 2026
Managed data transmission configurations using MQTT protocols to route sensor logs securely from hardware assets to cloud databases. Structured raw sensor logs into normalized tables to facilitate predictive modeling datasets.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analytics, IoT, and sensor-based applications, which aligns well with a data science role focused on real-world data. The diversity of projects (water quality, bridge monitoring, gas sensors for healthcare) shows a broad application interest. The 'Aptitude Excellence' suggests a strong analytical mindset, which is crucial for cultural fit in a data-driven environment. However, the candidate is still pursuing a bachelor's degree, indicating a junior profile for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical data into actionable insights (e.g., health alerts), suggesting good problem-solving and communication skills. The 'Technical Media Management' achievement points to organizational and leadership potential. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.