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Suyog Sethia

Data Scientist | Data Science Lead | Data Engineering | Big Data Analytics | ML Engineering | Pythoneer | Software Engineering | Mentor/Trainer | Architect | Management

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About

Suyog Sethia is a highly skilled Data Engineer with a passion for building intelligent machines. With over 3 years of experience in driving and building scalable data-centric products and strategies, Suyog is committed to creating sustainable revenue and share growth. Currently working at cubictree technology solutions as a Data Engineer, Suyog has partnered with various skilled individuals and teams to define and execute data acquisition, transformation, processing, and make data actionable for operational and analytics initiatives. Suyog has extensive experience in designing and developing data platforms, including the architecture, prototyping, and development of data extract, transformation, cleansing, and integration of structured and unstructured data. He has a solid track record in building durable data pipelines with the ability to scale elegantly with data volume growth, using tools/languages like Python, Ruby, Rails, Bash, AWS, Mongodb, Elasticsearch, etc. Suyog has a strong background in requirement gathering, project estimation, database schema design, creating models, data validation, and data persist service. He has also developed and implemented innovative solutions leading to automation, leveraging Elasticsearch for data analytics, reporting, and data integrity. Suyog is responsible for setting up project environments, Rails-api with user authorization and user authentication, building UI components, and leveraging strategic and analytical skills to understand and solve customer and business-centric questions. Suyog has identified potential money-saver areas in data pipelines, motivating his team to work on his ideas, leading to a cut in business expenses by 8 lakhs/month. He has also identified key problems in ETL systems and proposed solutions with POC. Suyog has worked as a freelance Data Engineer and Machine Learning Engineer on various projects, including text analytics and valuable corporate data analytics and insights, using tools and techs like Python, AWS, Django ORM, Mongodb, NLP, and Flask. Suyog holds a Bachelor of Engineering degree in Electronics and Telecommunication from Shri G S Institute of Technology & Science. He has a strong tech stack, including Data Science, Data Engineering, ML, Big Data, AI, Kubernetes, Software Engineering, and Research Scientist. With 5.61 years of relevant experience, Suyog is a valuable asset to any team looking for a skilled and passionate Data Engineer.

Education Overview

centre for development of advanced computing cdac

Companies Overview

ibm

gs lab

freelance

coditation systems

cubictree technology solutions

indian institute of management

Experience Overview

6.8 Years

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Contact Details

Email (Verified)

suyXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX26

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Frequently asked questions

What company does Suyog Sethia work for?

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Suyog Sethia works for ibm

What is Suyog Sethia role in their workplace?

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Suyog Sethia's role in their workplace is Lead Data Science - Development

What is Suyog Sethia's tenure in their workplace?

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Suyog Sethia's tenure in their workplace is 2.08 years

What is Suyog Sethia's total experience?

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Suyog Sethia's total experience is 6.83 years

What is Suyog Sethia's LinkedIn profile?

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Suyog Sethia's LinkedIn profile can be found here

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Suyog Sethia's email address is suyXXXXXXXXXXXXXXXXXom. Unlock here

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Suyog Sethia's phone number is +91XXXXXXXX26. Unlock here

What schools did Suyog Sethia attend?

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Suyog Sethia has attended centre for development of advanced computing cdac

What companies has Suyog Sethia worked with?

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Suyog Sethia has worked with ibm, ibm, gs lab, gs lab, gs lab, freelance, coditation systems, coditation systems, freelance, freelance, cubictree technology solutions, indian institute of management

What are some of Suyog Sethia's skills?

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Suyog Sethia has skills in advanced excel, amazon web services, Amazon Web Services (AWS), Amazon Web Services (AWS), analytics, apache and more.

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You can request deletion here - Delete my profile

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