TOOBA AMENA

Recent graduate with excellent research, technical, and problem-solving skills. Detail- oriented and able to learn new concepts quickly. And an outgoing student pursuing full time employment.

MASTER's IN COMPUTER SCIENCE

AVILA UNIVERSITY

JANUARY 2024- DECEMBER 2025

BACHELOR OF TECHNOLOGY

ELECTRICAL AND ELECTRONICS ENGINEERING

AUGUST 2019- JULY 2023

• Served as Chairperson for IEEE - Women in Engineering in BVRIT in final year of college

• Participated in 10 Model United Nations

• Received Merit certificate in 11th grade from Ministry of Ordnance Factory, Medak

• Received Merit certificate in 12th grade from Ministry of Ordnance Factory, Medak

• CREATED AMAZON CLONE WEBSITE THROUGH HTML,CSS USING VARIOUS LIBRARIES.

• This project was my first project with regards to EEE. Wanted to work on an easy project in order to know the basics first. Since, smart gates are everywhere from malls, airports, hospitals, we thought of starting it from there. Used IOT and IR censors. Made a hardware out of it.

• loT Based prepaid Smart Energy meter system consists of ADE7758 meter circuit, Atmega328p microcontroller and Wi-Fi module. This meter monitors the unit consumed and transfers the unit as well as cost over the internet. It gives alarm to user if consumption reaching near to set point. If consumption is going beyond the set point system will cut power. Also, it detects demand theft using balance current method.

• The California housing market is one of the most dynamic and competitive in the United States, making accurate housing price predictions a crucial task for both homebuyers and sellers. This data science project aims to develop a robust predictive model for California housing prices using machine learning and data analysis techniques.

hereby declare that the information in this document is correct up to my knowledge and I bear the responsibility for the correctness of the above-mentioned particulars.