Experience

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  Diesel locomotive works varanasi

  Jun 2019 - Jul 2019

  Industrial trainee

  Production control office, Management Area

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  Central tool room & training centre (msme) government of india

  Mar 2020 - Apr 2020

  Industrial trainee

  -->Worked as an intern with various data packages used in python based machine learning. Also Learned techniques to solve supervised, unsupervised learning problems, Natural Language processing Also worked deeply with regression and cluster analysis. Has a good understanding of computer vision, Deep Learning Using KERAS.->Worked on a simulation model for self-drive car using AI & ML

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  Cognizant

  Apr 2021 - May 2022

  Acquire the knowledge of the software development life cycle.Understand the Agile working methodology. Learned the concepts of manual testing from basic to advance. Learnt Core Java from basic to advanced, Maven,Advance SQL,JDBC,Javascript,Selenium Web Driver Automation testing tool with java language,TestNG Framework, Page object model, BDD framework, Data-Driven framework.Selenium Grid, etc.Git.Worked and applied all my learning in the project, configured the project with Jenkins. عرض أقل

  • Programmer Analyst Trainee

    Sept 2021 - May 2022

  • Internship Trainee

    Apr 2021 - Sept 2021
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  Jindal steel & power ltd.

  May 2022 - now

  I worked extensively on digitalization, analytics, and process optimization projects, leveraging AI, ML, and BI to drive efficiency and innovation. My key contributions include:🔹 AI & ML-Based Condition Monitoring – Developed a predictive maintenance system to prevent equipment failures and reduce downtime.🔹 BI Dashboards for Safety KPIs – Designed a real-time safety performance tracking system for proactive risk management.🔹 Blast Furnace Process KPI Dashboards – Enabled data-driven decision-making to optimize furnace operations and enhance productivity.🔹 Inventory Management Tool & Dashboard – Streamlined spare parts tracking, reducing delays and improving resource utilization.🔹 Digitalization Projects – Created multiple Google Apps Script-based applications for process automation, including a web application for inventory management using CRUD functionality and a condition monitoring dashboard for equipment inspections.🔹 Six Sigma Project on Fuel Rate Reduction – Worked on optimizing blast furnace fuel consumption, targeting a reduction of 4-5 kg per ton of hot metal.🔹 Demurrage Reduction Project – Implemented process improvements in rake unloading, reducing inefficiencies and minimizing financial losses.🏆 Achievements:NCQC & CCQC Gold Medalist for outstanding Kaizen initiatives.TMP Award Winner for Best Poka Yoke & Kaizen of KK Pillar.Top Learner Recognition in JSP Coursera Learning Universe 2.0, showcasing expertise in data analytics, project management, and advanced Excel.Developed indigenous vendors for critical equipment, ensuring faster deliveries and cost-effective sourcing.Optimized Slag Granulation Plant (SGP) to handle increased slag volumes efficiently.Reduced maintenance cost from ₹180/THM to ₹130/THM, enhancing operational efficiency.Led safety improvement projects, including an online valve replacement for the furnace closing circuit without disrupting the cooling system. عرض أقل Working as a mechanical maintenance engineer, In One of the world’s largest Blast Furnace (4554M3) looking after Critical area of the Blast Furnace-I, Bell less top (BLT), Stove & PCI (Pulverized Coal Injection System).Led and participated in a diverse range of projects aimed at optimizing the performance and efficiency of plant and machinery operations.Responsibility: Ensuring 99% availability of the equipment, Ensuring the availability of spare, Inventory management, and Manpower management.Technology: SAP HANA, MDRM, and Advance excel for equipment performance analysis. عرض أقل

  • Assistant Manager

    May 2023 - now

  • Graduate Engineering Trainee

    May 2022 - Aug 2023