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Q&A With Manoj Nath Yogi

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Manoj Nath Yogi
Undergraduate Research Student, Howard University
Location: Washington, DC United States
Joined: Mar 10th, 2024
About   (request update)
Manoj Nath Yogi is a highly motivated and accomplished Computer Science undergraduate at Howard University, with a 3.97 GPA and minors in Economics and Mathematics. With extensive experience in software engineering and machine learning, he has studied at Break Through Tech AI and interned at the National Renewable Energy Laboratory, where he developed innovative tools and predictive models. Proficient in Python, React, Django, and various ML frameworks, Manoj has led impactful projects, including an AI-enabled chatbot and a real-time data collection system. A recipient of multiple accolades, he is also active in leadership roles, driving community engagement and mentoring students.
Current Whereabouts:
I am interested in computer science and its applications to create valuable services and products that assist people.
Life & Professional Aspirations:
Machine Learning Engineer and Software Engineering
Website:
http://manojnathyogi.com.np
Education   (request update)
Howard University class of 2026
Undergrad Major: Computer and Information Science
Campus Organization:
Tau Beta Sigma
Claim To Fame:
- Runner Up, 46th Financial Services, Insurance and Risk Management (FIRM) Symposium 2024 - College of Engineering and Architecture Dean's List, Spring/ Fall 2023 - Howard University - The Google Capacity Fund Scholarship - Spring 2024 - Student Innovator Award 2023, The Institute of Electrical and Electronics Engineering Communication, Quality, and Reliability (CQR) Workshop 2023 - Washington, DC - Meritious Scholarship - Howard University Leadership Awardee - Bronze - International Economics Olympiad 2020
Most Memorable Moment:
Howard University Alternative Spring Break 2024 - One of the Biggest Spring Break to serve the communities
Experience
I currently work with Howard University as Undergraduate Research Student
I have years of experience working in the Computers, Software industry.
Fellow | Break Through Tech AI, Cornell Tech
From May 2024 to Current • 2 year(s)
 • Partnering with Anote Company in “Multimodal RAG System” project to update their text-based Chatbot to understand and interpret Multimodal data using React-based frontend, Python, OpenAI API, Whisper, OpenCV & Torchvision. • Developed predictive Machine Learning models using Python and Airbnb NYC Data and achieved a 43.6% improvement in R² score with Gradient Boosting over Linear Regression, enabling more accurate pricing strategies for hosts.
STAR Research Intern | National Renewable Energy Laboratory
From May 2023 to May 2024 • 1 year(s)
 • Engineered an automated real-time data collection system using Raspberry Pi and Python, capturing 10 key parameters for Anaerobic Digestion experiments, which convert biomass into biogas, biofuel, and biopolymers. • Achieved an R² score of 0.83 using Random Forest models combined with cross-validation techniques to predict and boost Volatile Fatty Acids (VFA) production, improving prediction accuracy by 25% over the previous model.
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Guestbook Comments
It's my pleasure to have you join, us as a new or seasoned member. May you have an amazing, blessed and marvelous day
Tagged by Ralph White on 03/11/2024  
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