Machine Learning Data Analysis

Pune, India

+917********* *****************@*****.*** LinkedIn - https://www.linkedin.com/in/gourav-upadhayay- 9a2128211

Gourav Upadhayay

Profile Summary

Detail-oriented IT professional with 1.5 years of hands-on experience in IAM Solutions, data analysis and problem-solving, now transitioning into AI/ML and data-driven roles. Skilled in Python, SQL, and machine learning concepts with experience in building recommendation systems and applying NLP techniques. Strong analytical mindset with a commitment to continuous learning and leveraging data to drive insights and intelligent solutions.

Technical Skills

Python

SQL

Machine Learning

Saviynt

Data Analysis

Postman

Microsoft Azure

CSS

HTML

Experience

Ernst & Young Global Delivery Services (EY GDS) April 2024 - Present Client - GE Aerospace (March 2025 - Current) and Unilever Global (July 2024 - Feb 2025) Worked on Connected (Azure AD based groups) applications. Built JSONs, created dynamic attributes, roles, complex workflows and jobs from scratch for onboarding Connected Applications into Saviynt. Interacted with client for requirement gathering, Unit testing, UAT and gave demos on Access requests, approval workflows and access certification

Generated Data Reports for clients using SQL and Analytics in Saviynt. Prepared -

multiple use cases for testing request forms, dynamic attributes, workflows and approvals. unit test documents and design documents for multiple applications. Oasis Infobyte - Web Developer Intern

Created an online bookstore (Reader’s Gold) website from scratch using HTML, CSS, Javascript, PHP, Bootstrap and mysql.

Utilized Xampp server to host the application and connect to apache database. September 2023 - November 2023

Projects

Fashion Recommendation System Python CNN TensorFlow Keras Deep Learning Colab (In Progress) An interactive website which receives user input in the form of image and recommends similar products as output. Utilizes ResNet model and CNN methods.

Book Recommendation System Python Machine Learning Numpy Pandas Pickle Scikit-learn Flask A collaborative filtering based book recommendation system was developed to suggest personalized books by analyzing user ratings. The project features an interactive web application built with Flask, providing real-time recommendations and a modern, user-friendly interface for seamless book discovery. Music Recommendation System Python ML Numpy Pandas Scikit-learn NLP Jupyter Data Analysis A content based music recommendation system using NLP and Cosine Similarity to suggest songs based on song’s lyrics similarity. The system leverages text vectorization, stemming and stop word removal techniques to deliver personalized music recommendations from large datasets. Certifications

Microsoft Certified : Azure Fundamentals (AZ-900)

Microsoft Certified : Azure Data Fundamentals (DP-900) Microsoft Certified : Security, Compliance and Identity Fundamentals (SC-900) Microsoft Certified : Azure AI Fundamentals (AI-900) EY Artificial Intelligence - Bronze Learning

Education

Sinhgad Institutes, Pune

Bachelor of Engineering (BE) in Computer Science

CGPA :- 8.71

July 2023

Saviynt L100 and L200

Bootstrap

Foundations of AI and Machine Learning

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