🎓 I am currently pursuing a Master of Science (MSc) in Data Science at the University of Bristol, further advancing my expertise in Data Science, Analytics, and Statistical computing using R, AWS Cloud computing, Machine Learning, and Artificial Intelligence.

In addition, I am actively expanding my knowledge in Supply Chain Management and Analytics, focusing keenly on optimizing supply chain processes and enhancing operational efficiency. My internship experience at Unilever has provided me with valuable hands-on exposure to these domains, enabling me to proficiently apply my skills to real-world challenges. I am actively seeking part-time opportunities and freelance projects and research works in Business Analytics, Data Science, and contributing to open-source Machine Learning initiatives to expand my professional network and impact. For a detailed overview of my certifications and accomplishments, please refer to my profile.

With a strong background in Data Science and Analytics, I am eager to leverage my skills in optimizing supply chain processes and enhancing operational efficiency. Therefore, I am actively seeking opportunities in the field of Supply Chain Management Analysis.

Furthermore, I am also a professional Bharathanatyam dancer and Carnatic singer. I am currently pursuing a diploma in Bharatanatyam, which complements my passion for the arts and serves as a source of inspiration and rejuvenation.

🚀 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 - May 2024

🔍 15 Data Science and Analytics projects across various departments:

ManEx Department:

🔍 BuildApp & Digitalization of Factory Operations Manufacturing Department:

⚙️ Spectrophotometer Production Optimization: Developed algorithmic programming for automatic production optimization.

📊 OMSAI Production Line Defect Analysis: Analyzed throughput bottlenecks in the Baby Dove line and packing hall.

🎨 Spectrophotometer Shade Analysis: Derived empirical formula for shade-matching.

📏 Batch Card Standard Deviation Calculation: Analyzed for FDA compliance.

📋 Master Recipe Reworking Study: Conducted study on the Color-2 reworking process.

Supply Chain Department:

📅 Rolling Forecast Plan Review: Programmed to simplify factory planning.

⚡ Technical Efficiency Programming: Automated data analysis for batching of physical stocks (SFG, RM, PM, FG).

📜 E-way Bill Automation: Automated RGP and NRGP processes using SAP, Python, and Power Automate.

📦 Supply Chain Understanding.

Engineering Department:

🔋 Energy Management System: Implemented machine learning algorithms and Python programming, utilizing NODE-RED and Grafana.

Safety Department:

📊 UA and UC Data Analysis for the USEAT Safety App.

🛡️ Machine Learning-Based Safety Management System.

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.