Caterpillar - Business intelligence analyst I

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Job Description    JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training  The Lead Management analyst demonstrates excellent communication skills,...
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GE vernova - Internship

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Job Description

Essential  Responsibilities:

  • Interns will use their skills of programming, innovation and engineering and are encouraged to implement new ideas, develop tools and applications or improvise existing methods, tools , processes and features in the projects.
  • The role requires the interns to get in contact with stakeholders, customers and colleagues in their day-to-day job which would require interpersonal, soft and presentation skills.
  • Responsible to complete Assignments & Projects over the course of their project duration. It is an intern led, intern run project which can be seen as a self-contained project aimed at improving and refining aspects of their skill set.

Qualifications:

  •  B.Tech, M.Tech/M.E Final year student from Computer Science /Power Systems /Instrumentation / Electronics/Communications and other related  streams from reputed institutes (IIT/NIT/BITS/Other reputed institutes)
  • Demonstrated academic excellence - consistent and strong academic credentials
  • Passion for engineering with Strong technical aptitude and an analytic approach to problem Solving
  • Strong programming skills in C, C++, Java, Python, any scripting languages on Windows & Linux
  • Experience of Statistical techniques, artificial intelligence (AI) and machine learning (ML), including, unsupervised learning, supervised learning, and reinforcement learning, Deep learning, large language models (LLMs).
  • Understanding of AI/ML frameworks/workflows.
  • Understanding MLOps principles.
  • Knowledge of databases – relational & non-relational
  • Good mathematical, analytical and logical abilities and their application to effective problem solving
  • Generation of multiple alternative solutions towards problem solving, evaluating the pros and cons and justifying the best solution to be adapted
  • Strong root causing, trouble shooting and debugging skills
  • In depth understanding of desktop, web and cloud based application development and deployment,
  • Awareness of Microservices architecture and tools
  • Hands on experience with hypervisors, Virtual Machines, Containers, Dockers and related tools
  • Experience with secure application development and cybersecurity tools and life cycle
  • Hands on with equipment and tools such as secondary injection relay test kits, protocol analyzers and simulators, MATLAB, LabVIEW … etc
  • Quick Learner and can develop a micro and macro understanding of the scope of work through self learning and seeking out the right resources – virtual & people
  • Clear & Concise verbal and written communication skills
  • Ability & rigor to clearly document and explain design, architecture, logic
  • Understanding of Power System concepts is an added advantage
  • A team player who can interact with all required stakeholders with ease.

Desired:

  • Prior experience (via internships, projects, trainings, certifications .. etc) in relevant areas of power systems & programming
  • Understanding of developing and implementing ML models, such as predictive maintenance, load forecasting, etc. in the power system domain. 
  • Understanding of ML frameworks such as Tensorflow, PyTorch, Keras etc.
  • Understanding of Linux virtualized system deployment using VM, Hypervisor (EsXi, KVM, Xen etc.), Dockers and related tools.
  • Volunteering experience on broader community activities / projects.
  • Understanding of industrial automation tools such as PLC programming
  • understanding of TCP/IP communication stack and related communication protocols
  • Understanding of Industrial & Substation automation protocols such as Modbus, DNP3, IEC 60870, IEC 61850 .. etc

    APPLY NOW-     GE Vernova Internship – Engineering Intern

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