Hello, my name is Mayank Rathi
I'm a Researcher
Young, Dynamic and Dedicated Mathematician, Researcher, Analyst and many more....
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Young, Dynamic and Dedicated Mathematician, Researcher, Analyst and many more....
He's a multi-talented individual who excels in various fields, making a significant impact in each one. As the President of SPIE, he leads with a vision to promote innovation and advancements in the various fields. Beyond his leadership role, he is also an exceptional graphic designer, bringing ideas to life through visually stunning creations. His mastery extends to web design as well, crafting immersive digital experiences that captivate audiences. With a keen eye for aesthetics and a passion for technology, Mayank Rathi leaves an indelible mark through his creativity and dedication, shaping the future of both the scientific community and the design world.
Birthday: 25 Nov, 2002
Age: 22
Role: Researcher & Designer
Degree: PGD in Data Science & AI
City: New Delhi || Kolkata
Freelance: Available
Position:Student Ambassador @ Wolfram, U.S.
Institution: Univ. of Delhi
Mayank has achieved numerous accomplishments throughout his career, showcasing his exceptional skills. Some of them are as follows:
Pursuing Post Graduate Diploma in Data Science and Artificial Intelligence from IISDT.
Graduated in Bachelors of Mathematics (Hons.) from University of Delhi with a grade of 8.162.
Passed Acturial Common Entrance Test conducted by Institute of Actuaries of India in July, 2021 in first attempt with an aggregate of 75%.
Passed out Senior Secondary School from H.M. Education Center, Hooghly, West Bengal in 2021 with an aggregate of 95.8% in the field of Commerce with Accounts, Economics & Mathematics as Majors.
Passed out Secondary School from H.M. Education Center, Hooghly, West Bengal in 2019 with an aggregate of 94.75%.
Developed technical and leadership skills through global projects. Publishing research papers and created opportunities in technology.
Taught secondary and higher-secondary mathematics and sciences. Guided students in Olympiads, Aryabhatta National Maths Competition.
Led a team of 135+ members, organizing 25+ successful events. Maximum Impressions generated on social media platforms.
Developed and maintained the organizations' visual identity. Designed and developed marketing materials, such as brochures, flyers, and social media graphics.
Elected as Treasurer of MATRIX Society, ANDC for the tenure 2022-24 and also worked as a graphic designer and social media head.
The project involves analyzing Netflix user data using Excel for initial data cleaning, Python for advanced analysis and visualizations, Power BI for interactive dashboards, and MySQL for database management. The aim is to uncover viewing patterns, user behavior, and content trends to drive data-driven business insights.
This project focuses on developing an innovative teaching methodology for Ray Optics, enhancing student engagement through interactive demonstrations and visual aids. The approach was tested in classrooms, showing a 65% improvement in students' understanding and retention of key concepts. The article can be accessed here.
It explores the chaotic behavior of climate change's impact on insurance models, using chaos theory and statistical methods to analyze unpredictability in risk assessment. The goal is to develop predictive models that account for climate-induced volatility, helping insurers better manage long-term risks.
This project applies principles of coordinate geometry to 2D design, leveraging geometric equations to create precise and visually appealing structures. The focus is on using algebraic techniques to model and render designs, offering a mathematical foundation for graphic and architectural applications.
Modeling chaotic systems using Wolfram Mathematica to analyze their dynamic behavior. The research contributes to understanding how chaotic circuits can be synchronized, with potential applications in secure communications and signal processing.
UsedPython and Mathematica for data analysis of improvements based on pre-test, post-test, and feedback data. Our findings inform policies for officials in the sector.
Analyzed gut bacteria extinction in urban populations compared to tribal communities, focusing on sustainable development and 16S ribosomal RNA Sequence Clusters.
Applied subsets & Naive Bayes, utilizing probability theory to classify emails based on word frequencies and patterns. The model improves the accuracy of filtering spam by identifying key features, making it a robust tool for automated email categorization.
Created one model that visualizes trigonometry, height, distance, and Pythagoras’ Theorem using Sonar and Tilt Sensors integrated with Arduino. The other model detects coordinates for items in the plane using a sonar and a rolling gear.
+91 93339 96277
Kalkaji, New Delhi - 110019
themayankrathi@gmail.com