Supervised Machine Learning: Regression and Classification

Introduction to programming with neutral atoms

Data Analysis with Python

Financial Analysis and Financial Modeling using MS Excel

IBM Quantum Challenge Fall 2022 Achievement - Foundational

2nd position in Investomenia

QBronze : Quantum computing and Programming

QMercury : Quantum Key Distribution

IBM Quantum Challenge: Spring 2023 Achievement

SolidWorks Masterclass: From Basic to Pro

Volunteer

Sponsership Coordinator

Diploma of Education

Bachelor of Technology - BTech

– Conducted an in-depth study of the Quantum Random Forest (QRF) algorithm, exploring its theoretical founda- tions and potential applications in quantum machine learning. – Implemented the QRF algorithm on various datasets, demonstrating its effectiveness and potential advantages over classical random forest algorithms. – Collaborated with a team of researchers to refine and enhance the algorithm, contributing to advancements in the field of quantum machine learning.

Quantum Research Intern

Marketing Intern

At initial days, we have to learn all  about FSAE and create a general report with team

Member

Data Analytics and ML intern

As Part of Chassis Department, we have to make CAD model of FSAE car chassis

Technical member (Chassis)

Contributed to ongoing research and development in algorithmic trading strategies My responsibilities included: - Supporting the development of quantitative models for forex market analysis - Backtesting and validating algorithmic strategies using historical trade data - Assisting the core team with market pattern recognition and statistical performance reviews - Contributing to internal documentation and workflow optimization for model deployment

Quant Analyst Intern

Selected for Liftoff Spark 5.1 Cohort by Wadhwani Foundation - Chosen as a high-potential entrepreneur for an intensive program focused on accelerating startup growth. -  This program helps early-stage and prototype startups prepare for grants and secure seed capital. The program offers guidance from industry experts to help startups refine their brand visibility, product roadmaps, and go-to-market strategies. The program also helps startups improve their pitching capabilities and learn how to grow their business.

Liftoff Spark 5.1 Cohort

AI Developer Intern

• Conducted in-depth research focused on the application of Wavelet Analysis to pressure signals in the context of two-phase flow within a pipe. • Utilized advanced signal processing techniques, with a specific emphasis on Wavelet Analysis, to extract meaningful information from pressure signals associated with two-phase flows. • Contributed to the understanding of the dynamic behavior of different flow regimes, enabling more precise characterization and identification. • Results of the research contribute to advancements in the field, offering insights into the distinct characteristics of various flow regimes, crucial for applications in pipeline systems and related industries.

Research Intern

Senior Technical Member (Chassis)

Software Engineer

medium

github

projects

Know about Mihirsinh Chauhan's work experience, education, bootcamps, certifications, and much more. Mihirsinh Chauhan