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Aayush Gambhir

About me:

TECHNICAL SKILLS
Proficient in various programming languages including Python, MATLAB, SQL, VBA, R, and Java. Experienced in utilizing tools such as NumPy, Pandas, Matplotlib, Scikit-learn, and Tableau for data analysis and visualization. Skilled in database management systems like PostgreSQL and MongoDB. Familiar with Microsoft Office tools, Git version control, and collaborative development platforms like GitHub.

PROJECTS
In the realm of data engineering, I have undertaken projects to analyze Medicaid drug spending patterns and comprehensive budgeting data for programs in the City of Toronto. Through these projects, I gained expertise in data manipulation using Pandas, data visualization with Matplotlib, and database management with PostgreSQL. As the sole author of these projects, I successfully employed various analytical techniques to derive actionable insights for healthcare economics and financial planning.

RESEARCH EXPERIENCE
As a Research Assistant at York University, I contributed to a study on habit formation and neuroplasticity, conducting comprehensive data analysis on young adults. I developed and implemented efficient data processing methods using R and specialized in formatting raw data for growth curve analysis. Additionally, I co-authored a research paper slated for submission to the Journal of Neuroscience, showcasing my proficiency in data analysis and research methodology.

WORK EXPERIENCE
In my role as a Scientific Data Analyst at R.A.Y, I engineered Python scripts to enhance the accuracy of remote sensing data for climate research. I collaborated closely with a distinguished atmospheric physics professor, presenting our research findings at the Canadian Undergraduate Physics Conference. My experience also includes a stint as a Sales Associate at PetValu, where I excelled in customer service and inventory management, demonstrating strong analytical skills and a team-oriented approach.

EDUCATION
I am currently pursuing a Certificate in Data Analytics from the University of Toronto, augmenting my technical skills in Excel, Python, SQL databases, and machine learning. I hold a Bachelor of Science in Physics from York University, where I developed a solid foundation in scientific principles and analytical thinking. My educational background, coupled with my hands-on experience in data analysis and research, positions me as a versatile professional capable of tackling complex challenges in data-driven environments.

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