
Hotu Ram
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Hotu Ram
- Bis heute 3 Jahre und 1 Monat, seit Juni 2022
Research Intern
Government of Rajasthan
Project: Computer Vision Project • Building Seat Allotment System at Incubation center for startups. • Automate excel using pandas, give color code to Tech, Non-tech, and Vacant sheets. • find a position (Coordinate) of each sheet on every floor layout. • Tech Stack: Python, Pandas, OpenCV, Jupyter Notebook, PyCharm
- 3 Monate, Okt. 2021 - Dez. 2021
Machine Learning Engineer Intern
Feynn Labs
Project 1. AI Product/Service Prototyping Project 2. Market Segmentation using Machine Learning and Data Analysis • Trained a Machine learning model to predict Vitamin Deficiency Problem in India. • EDA has been done for the project to understand the final result and submitted a detailed report using LATEX. • Applied ML algorithms - K-means algorithm by using Elbow methods.
- 1 Jahr und 6 Monate, Juli 2017 - Dez. 2018
Volunteer teacher | Motivator
SHREE MARWAR VIKAS SAMITI CHOHTAN (NGO)
• Motivate Below Poverty Line (BPL) families for the schooling of the children. • Worked as a full-time volunteer teacher & involved in promoting quality education to underprivileged children of villages around Chohtan (Barmer), Rajasthan. • Designed lesson plans and taught sixth & eighth-grade Mathematics & Science students.
Ausbildung von Hotu Ram
- 2 Jahre, Juli 2019 - Juni 2021
Physics
Indian Institute of Technology, Patna (IIT Patna)
Activities and societies: Physics Society (IIT Patna)Activities and societies: Physics Society (IIT Patna) Focusing on Statistics and Mathematics Relevant Course: • Mathematical Physics • Numerical Techniques(C/C++) • Practical exam in Numerical Techniques(C/C++) • Statistical Physics • Computational Physics (C/C++) (Grade - AB) • Practical exam in Computational Physics (C/C++) • Quantum Optics And Quantum Information
- 3 Jahre, Juli 2014 - Juni 2017
Physics, Mathematics
University of Delhi
Focusing on Computer Programming, Statistics, Mathematics, and Mathematical Physics Relevant Course: • Mathematics-I • Mathematics-II (Analysis and Statistics) • Mathematical Physics( I to V ) (Five semesters) • Numerical Techniques(C/C++) • Statistical Physics • Microprocessor and Computer Programming (C/C++) (Score - 85%) • Computer Programming Practical exam (C/C++) (Score - 82%) • Numerical Techniques Practical exam (C/C++)
Sprachen
Englisch
Fließend
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