Entry-level IoT Developer with a focus on Python and embedded systems.
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Assessing your cultural and operational fit
Dharmendra Prajapati is an aspiring IoT Developer pursuing a B.Tech in Computer Science and Engineering. He possesses a strong foundation in programming languages like C++, Java, and Python, coupled with practical experience in IoT system development using Raspberry Pi and various sensors. His academic background includes relevant coursework in Data Structures, OOP, Operating Systems, and Computer Networks, complemented by hands-on project work in engineering a water-control system. He is also an Oracle Certified Foundation Associate, demonstrating a commitment to skill enhancement and professional growth.
IES IPS ACADEMY
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
The New Era Public School
12th Secondary School Examination
N/A – May 31, 2022
Shri-G International School
10th Senior School Examination
N/A – May 31, 2020
Water-Control System
March 1, 2025 – May 1, 2025
Engineered IoT monitoring system using ultrasonic sensors achieving 96% accuracy across 75+ test cycles. Programmed Raspberry Pi GPIO controlling solenoid valves with 1.8s response time at 99.9% reliability. Integrated LED indicators delivering status updates with 0.08s refresh rate for automated alerts. Deployed system supporting 24/7 operation processing 180+ sensor readings per minute.
Oracle Certified Foundation Associate
Oracle
June 1, 2026 – Present
Amstack Incorporatin Private Limited
Amstack Incorporatin Private Limited
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's single academic project demonstrates initiative in a specific domain (IoT). However, the lack of diverse project experience, professional work history, or community involvement makes it difficult to fully assess cultural fit, adaptability, or alignment with a dynamic team environment. The focus is primarily on technical execution within a defined scope.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to execute technical tasks and focus on performance metrics. However, there is insufficient data to assess broader soft skills such as teamwork, leadership, or complex problem-solving in a collaborative environment. The operational fit for a senior role is limited by the academic nature and scope of the single project.