FATHIMA N
-, Dubai, UAE-https://www.linkedin.com/in/fathima-nizam-84a0a520b/
PROFILE
A highly motivated employee who possesses exceptional interpersonal skills, a strong work ethic,
adaptability, and the capability to quickly master new skills. I am confident in my ability to work
effectively and always welcome new challenges.
EDUCATION
•
•
•
BTech in Electronics and Communication Engineering with a CGPA of 7.11
(APJ Abdul Kalam University) |-
Class XII – Bioscience
(Government of Kerala Board of Higher Secondary Examinations) |-
Class X – Science
(Council for the Indian School Certificate Examination) |-
PROJECTS
Major Project – Underwater Data and Audio Transmission using Li-Fi Technology
•
•
•
•
•
Li-Fi can provide high data transfer rates, much faster than traditional acoustic
communication methods used underwater.
Li-Fi communication is generally considered more secure than radio frequency-based
communication.
Li-Fi uses the visible light spectrum, which is unregulated and has much more available
bandwidth compared to the radio frequency spectrum.
Li-Fi can be more energy-efficient than traditional underwater communication methods. LEDs,
which are often used in Li-Fi systems, are energy-efficient light sources.
The integration of Li-Fi with underwater IoT devices could enable the creation of smart
underwater environments.
Mini Project – Climate-Controlled Greenhouse Using Arduino
•
•
•
•
•
•
Arduino systems can be integrated with sensors and actuators to enable remote monitoring
and control.
Machine learning models are used to analyse historical data from sensors to predict future
environmental conditions.
Machine learning models can make decisions about when to activate or deactivate specific
climate control mechanisms based on the predicted environmental conditions.
Machine learning algorithms can be employed to detect anomalies or faults in the greenhouse
environment.
ML models can optimize various factors simultaneously. For instance, balancing temperature,
humidity, and light levels to create an environment that maximizes plant growth.
The greenhouse is equipped with communication modules, and machine learning can assist in
analyzing data remotely.
SKILLS
•
•
•
•
•
•
•
•
Knowledge of Analog Electronics - Filters, Amplifiers, ADC, Transistors and signal
processing.
Knowledge in Digital Electronics – Digital signal, Binary systems, Microcontrollers,
microprocessors, multiplexers, demultiplexers.
Familiar with the working Wireless Communication Systems.
Knowledge of HTML, CSS, Python, and C programming Languages.
Proficient in MS Office platforms-word, Excel, PowerPoint.
Familiar working experience with Git and GitHub.
Interpersonal and Communication skills.
Team Coordination, Time Management and Problem-solving skills.
CERTIFICATIONS
•
•
•
•
Deep Learning – NPTEL
Python For Machine Learning.
VLSI SoC Design
Google Cloud Facilitator Program (GCP)
CURRICULAR ACTIVITIES
•
•
•
Hackathon Volunteer – 2020
Kerala Economy Mission Job Fair Volunteer – 2022
Sports Representative – 2023
PERSONAL DETAILS
Date of Birth
Nationality
Address
Alternate mail
Visa Status
Marital Status
Languages
: July 4, 2001
: Indian
: Dubai, UAE
:-: Visit visa/ Available immediately
: Single
: Fluent: English, Malayalam
Beginner: Tamil, Hindi
DECLARATION
I hereby declare that all the information furnished above is true and correct to the best of my
knowledge
FATHIMA N
