At Imperial College London, Business School, I served as part of Prof. Sassi's STOP research project (Science & Technology in childhood Obesity Policy). It is worth mentioning that I designed and managed clinical trial in co- ordination with various parties to evaluate effectiveness of FlavorID. One of my key tasks was to recommend ingredient choices for users in meals through a recipe platform known as HappyPlate. Collaborated with recruitment agency to recruit participants. Not only this but I also assist with data analysis for the SHIFT project, run as part of STOP. My achievements are as follows: • Achieved 100% participation rate using multiple touchpoints. • Obtained ethics approval to drive trial by preparing all required documents. • Maintained contact with participants throughout trial and ensured everything completed on time. • Utilised R to create programmes for checking participant questionnaire completion rate in timely manner. • Conducted 15 semi-structured interviews with randomly selected participants to gather data on experiences during trial.

Imperial College London | Jan 2018 - Mar 2022

Research Assistant

During this tenure, I analysed data from Airwave Health Monitoring Study (a longitudinal observational study of members of the police force in Great Britain). I established a strong foundation for success by leveraging data analysis, R programming language, and different statistical methods skills in public health research. I was entrusted with performing independently and within team whilst showing consumption of ultra-processed foods associated with CMR. I was also involved in other parts of research, such as coding food diaries. Supported running the iPrevent clinical trial. My accomplishments within this role are the following: • Facilitated team in managing data by writing VBA macro aimed at saving time. • Promoted overall nutritional health by gaining in-depth knowledge regarding importance of nutrition in public health. • Spearheaded research on ultra-processed foods classification, resulting in publishing paper. • Collaborated with colleagues to examine ultra-processed food consumption, diet quality, and cardiometabolic risk (CMR) within the Airwave population.

Imperial College London | Jan 2018 - Jan 2018

Research Assistant

o Prepared and analysed samples using GC-MS and 1H-NMR o Analysed data using Agilent Mass Hunter and SIMCA o Collaborated with university staff

Imperial College London | Oct 2016 - Jan 2018

Investigating Dietary Habits of Obese Patients Before and After Bariatric Surgery

- Facilitated nutrimetabolomic research by cultivating laboratory skills. - Used 1NMR, LC-MS, and GC-MS to validate food diaries from patients before and after bariatric surgery. - Analysed human biofluids and showed that people with high BMI tend to misreport a lot, one of the major limitations in nutritional research. - Analysed statistical data using MATLAB, SPSS, and Excel.

RETVAS LIMITED | Jan 2017 - Nov 2017

self-employed Data Analyst

As a part of this job role, I mastered attention to detail by checking and validating retinal images analysed by novel software aimed at measuring tortuosity and dilation of retinal vessels in babies with retinopathy of prematurity. My key success for this role is: • Provided assistance with statistical analysis of research data.

Umeå University | Jan 2015 - Mar 2015

Working with cancer cells

- Investigated effectiveness of new potential drugs for cancer therapy, using FACS analysis. - Presented experiment results, giving final presentation in front of the university staff and students.

My Education

Take a look at my formal education

Master of Research (MRes) | Specialization in Human Nutrition, Clinical Research: Human NutritionImperial College London | 2018

Bachelor of Science in Genetics and Biochemistry | GRADE I, Genetics and BiochemistryAberystwyth University | 2016

Bachelor of Science in Genetics and Biochemistry – Erasmus Exchange, Genetics and BiochemistryUmeå University | 2015

ChemistryJagiellonian University | 2013

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