🎓 Intern at Unilever, India: Currently interning at Unilever, gaining hands-on experience in real-time projects aligned with my field of interest. Proficient in Python programming language, utilizing Jupyter Lab and Visual Studio Code platforms for development. During the internship I am also focusing on python for analysing and using machine learning in automating SAP data and also working on optimizatin of Supply chain operations.

🔧 Optimizing Data Processes: I've focused on optimizing and automating data processes, resulting in significant improvements in time and cost efficiency.

🚀 Maximizing GitHub for Personal Projects: Eager to leverage GitHub for my personal projects and network with professionals through collaborations. Seeking to understand the collaborative platform and advance my career in Data Science and Analytics.

📚 Passionate about Mathematics: Outside of development work, I'm passionate about mathematics and enjoy diving into books such as Business Statistics, Mathematical Implications for Data Analytics, etc. This interest stems from my internship at Unilever and my profound interest in Data Science and Machine Learning.

💬 Get in Touch: Excited to connect with fellow enthusiasts, collaborate on projects, and explore new opportunities in the field of Data Science and Analytics. Feel free to reach out!

January 2024 - Present (5 months)

🔍 ManEx – Manufacturing Excellence - Data Analysis and Management: Analyzed manufacturing data in MS Excel, focusing on MDCS reporting, SRS uploads, and OEE file interpretations. Developed Power BI dashboards and configured various business brilliant basics within the BuildApp platform, contributing significantly to digitalization efforts.

🔍 Spectrophotometer Automated Optimization - Data Analysis for 250+ Shades: Optimized lipstick production by analyzing spectrophotometer data for 250+ shades, reducing changeover time and transitioning to a 2-shift schedule. Automated tasks and optimized labor, releasing 14 manpower resources. Enhanced Overall Equipment Effectiveness (OEE) through data-driven automation using Python and Pandas in Jupyter Lab.

🔍 Defect Analysis in Face-it Compact Line: Efficiently reduced the scratch defect percentage by 7%.

🔍 Automation of Batching for physical stock: Optimized SFG and RM/PM batching for physical stock availability using Jupyter Python programming.

September 2023 - September 2023 (1 month)

🔍 Developed the mobile application's front end using the Flutter framework with a focus on UI design in Figma.

🔍 Implemented responsive layouts and optimized the app for various screen sizes.

🔍 Integrated the Zoom SDK for seamless meeting participation and managed client calls and communication efficiently.

July 2023 - August 2023 (2 months)

🔍 Acquired extensive knowledge in Artificial Intelligence, Deep Learning, Data Science, Natural Language Processing, Robotic Process Automation, and Computer Vision. Validated expertise through proficient certifications and quizzes.

June 2023 - August 2023 (3 months)

🔍 Completed a virtual internship program with diverse modules, projects, and Super badges on Salesforce Trailhead.

🔍 Trained in Salesforce Fundamentals, Organizational Configuration, Relationship and Process Automation, Flows and Security, Apex Development, Testing, Debugging, Lightning Web Components (LWC), and API Integration.

July 2022 - August 2022 (2 months)

🔍 Demonstrated proficiency in website design and development, utilizing HTML, CSS, JavaScript, and Angular.

🔍 Led the development of a scalable ad-serving platform and an e-commerce shopping website.

🔍 Collaborated with cross-functional teams to gather requirements, design solutions, and implement custom functionalities.

🔍 Optimized effective decision-making skills within the team to address challenging technical tasks.