Parteek Gupta

Parteek Gupta 50, kirtinagar- Linkedin - www.linkedin.com/in/parteek-gupta-8b64b3298 OBJECTIVE Hands-on experience in Data Analytics, Machine Learning, and Cloud Computing, with a strong grasp of analyzing large datasets, building predictive models, and deploying scalable solutions using Google Cloud Platform (GCP) and Microsoft Azure. Familiar in Python, SQL, and core data science libraries. Demonstrated ability to apply technical knowledge through academic projects and internships. EDUCATION Bachelor Of Technology in Computer Science | CGPA -) 12th DCM Group of Schools Percentage71%| P.C.M-) 10th DCM Group of Schools Percentage76% |-) TECHNICAL SKILLS Python : Numpy,Pandas,Matplotlib, C++ :Oops DB :MySQL, OS : Linux , Windows Tools: Excel, Jupyter Notebook Cloud: Azure,GCP Soft Skills: Analytical Thinking, Problem-Solving, Communication PROJECTS AND EXPERIENCE • SISLINFOTECH (INTERNSHIP) (March,2025) Billing Management Module for Smart Metering Infrastructure (MSPDCL) – Cloud Deployment Working on the end-to-end cloud infrastructure setup for a billing management system supporting smart meters across Mizoram. The solution involves implementing a secure, redundant, and highly available architecture on Jio Azure, incorporating services like Virtual Machines, Azure VPN, Azure Firewall, WAF, Backup, and Site Recovery. Also involved in the deployment of IAM, data processing, inventory, and analytics stacks in a cloud-native two-tier application. • GUDSKY RESEARCH FOUNDATION (INTERNSHIP) (January,2025) Work on research-based projects in machine learning by conducting in-depth research, designing experiments, and analyzing data to derive meaningful insights. Explore advanced algorithms, optimize models, and evaluate performance to drive innovation. Contribute to cutting-edge developments by applying theoretical knowledge to real-world applications, enhancing efficiency and accuracy • Human Face and Emotion Detection (MINOR PROJECT) Developed a system capable of detecting human faces and recognizing emotional expressions such as happiness, sadness, anger, and surprise. The goal was to create a basic yet effective tool to interpret user emotions in real-time. Focused on enhancing the accuracy of detection across different face types and lighting conditions. CERTIFICATIONS • GCP (ASSOCIATE GLOUD ENGINEER) ID- e16ade6bf0b24ef6a34950e-f0