Pranav C

Eager cybersecurity enthusiast with hands-on experience at CYIENT LTD, mastering tools like Kali Linux and PostgreSQL. Excelled in identifying vulnerabilities and enhancing eSim architecture security. Demonstrated innovative problem-solving in material durability projects at GTRE-DRDO, showcasing strong analytical skills and a knack for applying cybersecurity frameworks effectively.

Garden Monitoring System, 10/01/21, 01/31/22, This system monitors various ambient parameters along with the approximate moisture content in soil. Arduino UNO is used as a microcontroller to implement the control unit. The setup uses the temperature sensor, humidity sensor, soil moisture sensor and LDR sensor which measure the ambient temperature, humidity, light intensity and moisture in the soil. Plant monitoring system is a tool used for live monitoring of plants. We provide an Arduino and IoT based monitoring system to take care of these plants remotely cutting off any human intervention. Stock Price Prediction, 09/01/22, 10/31/22, Utilized a Keras LSTM model to forecast stock market trends. Used the data of Tata Global Beverages' past stock prices, normalized them. Developed the LSTM by initializing neural networks using the Keras library.

• MATLAB and SIMULINK Onramp (08/2021 - 08/2021)
• Data Driven Astronomy - (Coursera) (10/2022 - 10/2022)
• Data Analysis With R - Google Analytics (10/2022 - 10/2022)
• Deep Learning A-Z : Hands On Artificial Neural Networks (10/2022 )
• Introduction to Tensorflow (09/2022 - 09/2022)
• Convolutional Neural Networks Using Tensorflow (10/2022 - 10/2022)
• Google Cybersecurity specialization (Coursera)