Pranav Kharat

Boston,MA

Summary

Computer Engineering graduate with a strong foundation in software development, machine learning, and blockchain technology. Proven ability to apply technical skills in developing real-world applications, demonstrated through academic projects and internships. Eager to contribute to innovative projects in a dynamic and collaborative environment.

Work History

Intern

M/s. Vasu Chemicals LLP

Mumbai, India

05.2021 - 08.2021

Spearheaded the development of a sophisticated software suite for the automation of chemical dosing processes, significantly augmenting operational efficiency by 30%
Engineered a state-of-the-art online monitoring system for precise quantification and analysis of water quality parameters
Implemented advanced algorithms that optimized the chemical dosing system, achieving a remarkable reduction in resource waste.

Education

Master of Science in Information Systems -

Northeastern University

Boston, MA

05.2025

Bachelor of Engineering in Computer Engineering -

RamRao Adik Institute of Technology

05.2022

Skills

Languages: Java, python,
Web Development: HTML, CSS

Tools & Technologies: deep learning, Data Wrangling, Machine Learning Algorithms, Data Visualization, statistics and mathematics
Certificates: Deep Learning A-Z, Python for Data Science

Academic Projects

KYC using De-centralized Private Blockchain Network

Directed the architectural planning and execution of a cutting-edge KYC solution, leveraging a decentralized private blockchain network, which curtailed fraudulent activities by an impressive 25%.
Innovated a proprietary consensus algorithm to ensure unassailable security and integrity of personal identification data within the blockchain.
Collaborated with cross-functional teams to customize blockchain protocols, ensuring optimal compliance with regulatory standards.

Virtual Police Station with Chatbot

Orchestrated the development of a virtual police station interface, complete with an intuitive chatbot, to streamline the crime reporting process, thus elevating public service accessibility by 40%.
Implemented natural language processing techniques to enable the chatbot to understand and interact with users effectively.
Integrated a robust backend framework that facilitated the efficient logging and tracking of police reports, ensuring prompt and reliable service delivery.

Timeline