Harshpreet Kaur

Operations Associate

Hyderabad, Telangana, India1 yr 9 mos experience

Key Highlights

Selected for Amazon ML Summer School with 5% acceptance rate.
Strong foundation in data structures and algorithms.
Proficient in multiple programming languages and frameworks.

Stackforce AI infers this person is a proficient candidate in AI/ML and software engineering.

Contact

Skills

Core Skills

Machine Learning

Other Skills

Deep LearningDatabase Management System (DBMS)Operating SystemsObject-Oriented Programming (OOP)Software Engineering PracticesComputer NetworkingJavaMERN StackSQLC++Cascading Style Sheets (CSS)TypeScriptCypressMongoDBTailwind CSS

About

I am currently a Seasonal Analyst at Goldman Sachs. Languages & Databases : Python, Java, C++, JavaScript, TypeScript, HTML/CSS, MySQL, MongoDB Frameworks and Tools: React.js, Node.js, Express.js, Springboot, TailwindCSS, Git, GitHub, Postman, AWS Relevant Courses: Data Structures, Algorithms Analysis, Operating Systems, Database Systems, OOPS in Java, Computer Networks, Software Engineering. I am currently on the lookout for ways to utilize, and improve my technical expertise and skills.

Experience

1 yr 9 mos

Total Experience

1 yr 1 mo

Average Tenure

5 mos

Current Experience

Goldman sachs

Seasonal Analyst

Jan 2026 – Present · 5 mos · Hyderabad, Telangana, India · On-site

Global Banking and Markets

Amazon

Amazon ML Summer School 2025

Aug 2025 – Aug 2025 · 0 mo · India · Remote

Selected for the Amazon ML Summer School 2025 (~ 5% acceptance rate), an immersive program focused on linking fundamental machine learning concepts to practical industry applications. The curriculum covers advanced topics, including Deep Neural Networks, Generative AI, and LLMs.

Deep LearningMachine Learning