Vaibhav Pal
About Vaibhav Pal
Vaibhav Pal is an Associate Manager and Business Analyst with a background in Chemical Engineering. He has achieved significant cost savings and process improvements through data analysis and predictive modeling in his current role at STL - Sterlite Technologies Limited.
Work at Sterlite Technologies
Vaibhav Pal currently holds the position of Associate Manager - Business Analyst at Sterlite Technologies Limited (STL) since 2018. In this role, he has contributed to various projects aimed at enhancing operational efficiency. He implemented a PLS model-based technique to identify process signatures in multi-variable time series data, which helps in monitoring variable performance. Additionally, he built a data pipeline from scratch to connect the historian database on production machines to the data lake, enabling effective analysis for lump detection in the cabling process. His efforts have led to a 10% increase in process output by optimizing gas flows during the SOC stage.
Education and Expertise
Vaibhav Pal studied at the Indian Institute of Technology, Roorkee, where he earned a Bachelor of Technology (B.Tech.) in Chemical Engineering from 2013 to 2017. His academic background provides a strong foundation for his analytical skills and technical expertise in process optimization. He has developed proficiency in statistical analysis, utilizing techniques such as 2-way ANOVA and t-tests to validate experimental changes. His knowledge extends to machine learning, where he created a predictive model using XGBoost, significantly reducing scrap in production processes.
Background
Vaibhav Pal began his career with a brief internship at Indian Oil Corporation Limited in 2016, where he gained initial exposure to the industry. He then worked as a Trainee at British Paints for one month in the Bulandshahr Area, India, in 2015. Following his academic pursuits, he joined Sterlite Technologies Limited as a Graduate Engineering Trainee in 2017, where he spent nearly a year before advancing to his current role. His progression reflects a commitment to continuous learning and application of engineering principles in business analysis.
Achievements
Vaibhav Pal has achieved notable cost savings of approximately INR 7 crores by optimizing production processes through the processing of low scrap combinations. He developed a predictive model that identified high scrap rod-cylinder combinations, resulting in a 40% reduction in scrap. His implementation of Explainable AI techniques, such as Shap Values, PDP, and ICE Plots, has been instrumental in identifying root causes for low NOVA yield preforms, showcasing his analytical capabilities and impact on operational improvements.