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Shyams728/README.md

Shyamsundar Dharwad

Email: shyamsundardharwad@gmail.com LinkedIn: LinkedIn Profile GitHub: GitHub Profile


Objective

I'm a dedicated Data Scientist with a unique background in mining machinery engineering. My passion lies in exploring the realm of data science to create data-driven solutions that elevate productivity and efficiency. Join me on my journey of harnessing data's power to drive innovation and positive change.


Education

IITM Advance Professional Programing with Master Data Science Program with Guvi May 2023 - August 2023

Advanced Python for Data Science IIM (Indian Institute of Management), Bangalore May 2023 - July 2023

Bachelors in Engineering June 2017 - June 2019

Diploma in Mining Machinery Engineering May 2010 - May 2012


Work Experience

Service Engineer Larsen & Toubro Limited, Construction Mining Machinery Chennai, India September 2012 - March 2017

  • Managed SAP HANA databases for a large mining machinery company.
  • Led logistics operations for a mining machinery company.
  • Repaired and maintained mining machinery, ensuring optimal performance and longevity.

Skills

  • Programming Languages: Python (Experienced)
  • Databases: MySQL, MongoDB (Experienced)
  • Machine Learning: Skillful
  • NLP: Text analysis, sentiment analysis (Skillful)
  • Data Visualization: Data charts, data dashboards (Skillful)
  • Microsoft Office Tools: Experienced

Courses

  • Diploma In MySQL and Statistics for Data Analysis August 2023 - August 2023

  • Python for Data Science: From Basics to Advanced June 2023 - July 2023

  • Master the Pandas Library in Python Programming June 2023 - July 2023

  • MongoDB CRUD Operations and Aggregations June 2023 - August 2023


Languages

  • English: Highly proficient in speaking and writing
  • Hindi: Very good command
  • Kannada: Native speaker
  • Telugu: Native speaker
  • Tamil: Good working knowledge

Awards

Recipient of an award from CEO and President of Komatsu for overall contribution to the invention, implementation, and streamlining efficiency in the Service center.


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