
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist Intern @Amazon || MS Data Science @Columbia University || Associate Data Scientist @Shell || Engineering Merit Rank Holder || Ex-SDE Intern @Contlo || Ex-Data Science Intern @JPL || Data Science Enthusiast
I am a Master’s student in Data Science at Columbia University, passionate about building impactful, end-to-end solutions that bridge cutting-edge research with real-world applications. At Shell, I leveraged Generative AI and Advanced Analytics using both open-source and proprietary large language models in Microsoft Azure to deliver data-driven solutions that improved operational safety, validated critical incident data, and provided measurable business outcomes. My industry experience has sharpened my ability to move beyond theory to create robust systems that solve complex challenges. Here is what I focus on: 🤖 Data Science for real-world impact: I have experience designing and implementing end-to-end Generative AI solutions, from an emergency response application that improved operational safety to a system that validated and enhanced critical incident data. 💡 Exploring the frontier of AI: Currently at Columbia, I am deepening my expertise in Natural Language Processing, Large Language Models, and Deep Learning to develop scalable, intelligent products. 🤝 Collaboration and innovation: I thrive in multidisciplinary teams, combining problem-solving, data analysis, and creativity to deliver solutions that matter. I am eager to connect with researchers, engineers, and innovators building the next generation of AI applications and to contribute to projects that drive meaningful impact.
Columbia University
Master of Science - MS, Data Science
August 1, 2025 – Present
Vellore Institute of Technology
Bachelor of Technology - BTech, Computer Science and Engineering with Specialization in Data Science
January 1, 2019 – January 1, 2023
Hiranandani Foundation School
ISC, Science
January 1, 2017 – January 1, 2019
Hiranandani Foundation School
ICSE, General Studies
January 1, 2004 – January 1, 2017
Amazon
Data Scientist Intern
May 1, 2026 – Present
Bellevue, Washington, United States · On-site
Columbia | SIPA
Data Science Consultant
March 1, 2026 – May 1, 2026
New York, New York, United States
Columbia University Irving Medical Center
Graduate Research Assistant
February 1, 2026 – May 1, 2026
New York, New York, United States
Columbia University Department of Computer Science
Graduate Teaching Assistant
January 1, 2026 – May 1, 2026
New York, New York, United States
Shell
Associate Data Scientist
August 1, 2023 – July 1, 2025
Bengaluru, Karnataka, India · Hybrid
Contlo
Software Engineer Intern
April 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India · On-site
Jio Platforms Limited (JPL)
Data Science Intern
December 1, 2022 – June 1, 2023
Remote
Schneider Electric
Application Developer
May 1, 2022 – July 1, 2022
Bengaluru, Karnataka, India · Hybrid
GlobalShala
Data Analyst Intern
February 1, 2022 – March 1, 2022
Vellore Institute of Technology
Program Representative
August 1, 2021 – April 1, 2023
ISA - VIT
Commitee Member
December 1, 2019 – January 1, 2021
IEEE Computer Society - VIT
Committee Member
December 1, 2019 – January 1, 2022
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 25, 2026 – Present
Machine Learning A-Z: Hands On Python and R in Data Science
Udemy
June 25, 2026 – Present
Data Science for Business Innovation
Coursera
June 25, 2026 – Present
Green Software for Practitioners (LFC131)
The Linux Foundation
June 25, 2026 – Present
Amazon ML Summer School
Amazon
June 25, 2026 – Present
Microsoft Certified: Azure Fundamentals
Microsoft
June 25, 2026 – Present
Fundamentals of Data Analytics
nasscom FutureSkills
June 25, 2026 – Present
IBM Python for Data Science, AI & Development
IBM
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (Amazon, Shell, Columbia University, Contlo, Jio Platforms, Schneider Electric) and roles (Data Scientist, Software Engineer Intern, Research Assistant, Consultant, Teaching Assistant) suggests adaptability and a willingness to engage with different organizational cultures and challenges. Their involvement in academic and student organizations (Vellore Institute of Technology, ISA-VIT, IEEE Computer Society-VIT) further indicates a collaborative spirit and commitment to community. The breadth of skills and project types aligns with a dynamic and innovative work environment, suggesting a good cultural fit for organizations that value continuous learning and cross-functional collaboration.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through roles like Data Science Consultant, Graduate Teaching Assistant, and Program Representative, indicating leadership, communication, and teamwork abilities. Their experience in guiding non-technical teams and facilitating academic activities suggests an ability to operate effectively in collaborative environments and translate complex technical concepts. The diverse project experience also points to adaptability and a proactive approach to problem-solving.