VARSHA PANICKER

Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level positions. Ready to help team achieve company goals.

• Academic Excellence Awardee, GCE "A": Standard 12 Boards
• Grade A for Music in Inter school Festival - 5 years in a row.

NTU College of Engineering, Student Ambassador, 09/2021 - 06/2024,

• Assumed role as School (CoE) Representative to relay information about the university from student perspective,
• Experienced satisfaction of helping young people to develop and achieve their goals.,
• Developed good appreciation of how class, gender, and ethnicity impact educational performance.

NTU Sing and Strum, Sub-Committee Member, 09/2021 - 05/2022

NTU Enitio 2021, Chief Programme & Group Leader, 03/2021 - 08/2021,

• Led 6 team members to plan, organize and execute social activities for freshmen;
• helped latter to adapt to campus life readily.

NTU Indian Dance Club, Sub-Committee Member, 12/2020 - 08/2021

Student Council, Head Prefect, 05/2019 - 05/2020

NTU FYP: 2D material based high performance photodetectors, 09/2023 - 05/2024, 

• Research and experimented on the various kinds and types of 2-D materials within the mid infrared range suitable for the fabrication of the graphene-based FET and on their sensor characteristics.
• Investigated the factors which influence the sensor performance.
• Followed optical lithography to fabricate graphene-based field-effect transistor.

NTU Design and Innovation of Project: Sustainable Robotics and Computational Thinking (UAVIONICS), 08/2022 - 12/2022,

• Expected to overcome challenges to innovate and address issues pertinent to education and sustainability.
• Involve actively in hardware prototype designing and building with software application development.

NTU-EEE Module: Introduction to EEE Design and Project, 01/2022 - 05/2022, 

Module Project: Automatic Volume Control for Audio Amplifier System (Team of 2 Members). 

• Utilized software "LabVIEW" with hardware "NIE-ELVIS" to design, build, simulate and evaluate automatic volume controller for audio amplifier assembling 3 subsystems (i.e. Volume Unit Meter, Voltage Amplifier, Power Control Amplifier).

NTU-EEE Module: Introduction to Data Science and Artificial Intelligence, 08/2021 - 11/2021, 

NTU Module Project: Cardiovascular Disease Prediction (Team of 3 Members). 

• Applied Python Programming with 3 Machine Learning Models (i.e. Linear Regression, Random Forest, Decision Tree) to clean and train Kaggle Dataset to search which demographic of people were most likely to have cardiovascular disease.
• Concluded that Decision Tree was the ideal model with 79% prediction accuracy that was significantly correlated with influencing factors (e.g. Weight, Age, Cholesterol, Lifestyle, Smoking).