DIVYANSH SINGH
New Delhi,DL
Summary
Detail-oriented, organized, and meticulous employee with a proven track record of meeting tight deadlines. Thrives in fast-paced environments and consistently delivers high-quality work. Dedicated team player eager to contribute to company success.
Overview
1
1
year of professional experience
Work History
Quant Developer
Jarvis Labs
5 2024 - 7 2024
- Developed valuable metrics and charts from the blockchain data to deliver wide range of crypto trading insights
- Managed enormous volumes of blockchain data from different data providers (Ether-scan, Glass-node) using pandas
- Metrics developed- Velocity: Token exchanges, Liquidity ratio: Deals with locked liquidity, Gini: Wealth distribution
Reactor Analysis
Prof. Manjesh Kumar
02.2024 - 05.2024
- Developed Reactor Analyzer in Python to perform detailed reactor analysis, using linear regression and KNN algorithms
- Utilized Matplotlib for 200+ plots, NumPy for 10,000+ calculations, and Scikit-learn to enhance the overall data analysis
- Tested Analyzer with 200+ reactors, demonstrating a 97% accuracy in calculations and analysis of Chemical Reactor
Tryst 24 Web System
Prof. Manoj Ramteke
01.2024 - 04.2024
- Developed comprehensive web system, backend and frontend both components with seamless functionality across all devices
- Deployed system to AWS - EBS with auto-scaling (up to 10 instances) to handle traffic-load and boost its performance
- Created workflow storing dynamic registrations, 5,000+ entries in events, using Google Sheets API with Django models
- Implemented keyword optimization and metadata enhancement for improved SEO, resulting in 50% increase in site traffic
Machine Learning Applications
Prof. Andrew Ng
11.2023 - 12.2023
- Built recommender systems using collaborative filtering and content-based deep learning approaches with Python
- Implemented an Image compression model by training the unsupervised learning algorithm K-means clustering
- Built a housing price prediction model using Decision trees and Random Forest regression models from Scikit-learn
IIT Delhi Attendance System
Prof. Shouri Chatterjee & Prof. Subodh Sharma
09.2023 - 12.2023
- Implemented Timed QR code to mark attendance Visible and Hidden QR-code with 10 Hz frequency modulation
- Built a user-friendly ReactJS web portal and Flutter app for 500+ professors and 10,000+ students to track attendance
- Used Unique Device IDs in Mobiles, for single device seamless and secure login, also preventing multiple device logins
- Enhanced security with SHA private key encrypted transmission and JWT token authentication, to prevent data breaching
Cryptocurrency Model
Prof. Amitabha Bagchi
09.2023 - 11.2023
- Developed a cryptocurrency model named DS Coin using C++ on top of the encrypted blockchain architecture
- Designed and implemented a decentralized coin-mining procedure to incentivize transaction processing in network
- Integrated essential data structures including chains, Merkle trees, and queues, to mitigate malicious mining activities
- Implemented security using SHA-256 hashing and RSA digital signatures to ensure transaction integrity and confidentiality
Education
Bachelor of Technology - Computer Science
Indian Institute of Technology, Delhi
Delhi, India 04.2001 -
High School Diploma -
Delhi Public School, Agra
Agra, India 04.2001 -
Skills
Programming
Timeline
Reactor Analysis
Prof. Manjesh Kumar
02.2024 - 05.2024
Tryst 24 Web System
Prof. Manoj Ramteke
01.2024 - 04.2024
Machine Learning Applications
Prof. Andrew Ng
11.2023 - 12.2023
IIT Delhi Attendance System
Prof. Shouri Chatterjee & Prof. Subodh Sharma
09.2023 - 12.2023
Cryptocurrency Model
Prof. Amitabha Bagchi
09.2023 - 11.2023
Bachelor of Technology - Computer Science
Indian Institute of Technology, Delhi
04.2001 -
High School Diploma -
Delhi Public School, Agra
04.2001 -
Quant Developer
Jarvis Labs
5 2024 - 7 2024
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