Arshia Sharma

Impact Projects

Conducted an independent research study on the effects of varying lithium-ion concentrations on plant growth. The project involved designing controlled experiments to analyse how different levels of lithium exposure influenced germination rate, leaf development, and overall plant health.
Meticulous data collection and statistical evaluation demonstrated strong analytical and scientific inquiry skills, drawing meaningful conclusions about the environmental impact of lithium contamination.
This research reflected my curiosity about the intersection of chemistry, biology and environmental science, as well as a commitment to addressing emerging ecological challenges through evidence-based investigation.

Designed and constructed an innovative scientific model showcasing creativity and advanced problem-solving skills through the development of an Autonomous Vacuum Cleaner.
The project featured a detachable vacuum component engineered for multifunctional use—capable of operating independently or autonomously for comprehensive home cleaning.

Conducted IB research project titled “To What Extent Does Varying Surface Friction Impact the Upright Stability of a Spinning Top as Inferred Through Angular Velocity Decay Modelling and Its Total Time of Spin.”
The study explored how different surface textures influence the stability and duration of a spinning top’s motion by analysing changes in angular velocity and frictional torque over time.
Using experimental observation, data modelling, and theoretical analysis investigated the relationship between rotational dynamics and surface interaction, aiming to quantify the role of friction in gyroscopic stability. This project reflects strong interest in applied physics, mathematical modelling, and real-world problem-solving, combining analytical thinking with experimental design.

Investigating the Effect of Elevation Difference on the Flow Rate of Water in a U-Shaped Siphon - Explored how changes in elevation impact the flow rate of water through a 6mm diameter U-shaped siphon.
Experimenting with varying height differences between the water surface and outlet led to analyse the relationship between gravitational potential energy and fluid flow.

Modelling the Root Mean Square (RMS) of sEMG Signals to Optimize Bicep Curl Performance: Conducted a research-driven project that analyzed surface electromyography (sEMG) signals to study muscle activation during bicep curls.
Through modelling the Root Mean Square (RMS) values of sEMG data, determined the optimal number of repetitions for maximizing muscle efficiency while minimizing fatigue.

Led the marketing strategy and brand development for Weave, a student-run company that transforms farm stubble into sustainable products.
Campaigns were designed, a brand identity was developed, and sales strategies were created, providing practical experience in entrepreneurship, sustainability, and business management while addressing real-world environmental challenges..