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Data Analyst @ Stryker | Azure Databricks, Data Analytics
Graduating from Vellore Institute of Technology, Bhopal, with an Integrated M.Tech in Artificial Intelligence and Machine Learning, I have focused on developing expertise in data analytics and big data analytics. My education laid a solid foundation for my professional journey and equipped me with critical skills to navigate the evolving technology landscape. Currently, I serve as a Data Engineer at Stryker, where I contribute to their Global Data Analytics initiatives, focusing on data mining and warehousing. My previous roles at Stryker and other organizations, including Omdena and YHills, have further honed my technical abilities. I am passionate about leveraging my knowledge in AI and machine learning to drive impactful solutions in data-driven environments.
Vellore Institute of Technology
Integrated M.tech, Artificial intelligence and machine learning
January 1, 2019 – January 1, 2024
Stryker
Data Analyst
June 1, 2024 – Present
On-site
Stryker
Information Technology Intern
May 1, 2024 – June 1, 2024
On-site
Stryker
Information Technology Intern
July 1, 2023 – May 1, 2024
On-site
Omdena VIT Bhopal University Chapter
Collaborator
February 1, 2023 – April 1, 2023
YHills
Artificial Intelligence Intern
September 1, 2022 – October 1, 2022
Remote
Lung Disease Detection Using X Ray Images
December 1, 2021 – April 1, 2022
Developed an automated Lung Disease Detection AI model using four Deep Learning methods-VGG16, ResNet50, InceptionV3, and Xception.
Image steganography
October 1, 2021 – December 1, 2021
Developed a python-based image steganography using graphical user interface
Sales prediction in Big Mart
July 1, 2020 – November 1, 2020
Developed a predictive analysis using machine learning aspects to enable companies to make informed business decisions and predict short-term and long-term performance.
Databricks Platform Administrator
Databricks
June 25, 2026 – Present
Databricks Fundamentals Accreditation
Databricks
June 25, 2026 – Present
Microsoft Certified: Azure Data Fundamentals
Microsoft
June 25, 2026 – Present
Microsoft Certified: Azure Fundamentals
Microsoft
June 25, 2026 – Present
ITIL® Foundation
AXELOS Global Best Practice
June 25, 2026 – Present
Basics in Cloud Computing with SAP Cloud Platform
Udemy
June 25, 2026 – Present
Introduction to Cloud Computing
Coursera
June 25, 2026 – Present
Machine Learning with Python
zebo.ai: AI Based Dermatology Platform
June 25, 2026 – Present
Design Thinking
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including image steganography and sales prediction, shows a broad interest in ML applications. The academic background is directly aligned with an ML Engineer role. However, the professional experience leans more towards Data Analysis and IT Infrastructure rather than pure ML Engineering, which might indicate a slight misalignment with the target role's day-to-day responsibilities, potentially requiring a ramp-up in a dedicated ML engineering team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems. The experience at Stryker, even if not directly ML engineering, suggests exposure to corporate environments and data-related tasks. However, specific soft skills like teamwork, problem-solving under pressure, or communication in a team setting cannot be directly assessed from the provided data.