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Summary

Tanu is a 3rd-year Doctoral researcher dedicated to advancing the field by reducing the number of grades in Aluminium alloys through the application of machine learning and AI. She has proficiently employed software tools including Tableau, Azure, and Streamlit. Furthermore, she has developed a novel ML algorithm focusing on the recyclability of aluminium alloys.

Education:

  • Graduated with distinction in B.Tech Materials Science and Metallurgy from NIT-Bhopal, India.
  • Graduated with distinction in MS Data science from ExcelR institute, India.
  • Attained an MSc in Materials Science and Engineering with distinction from the University of Birmingham, UK.

Professional Achievements:

  • Successfully executed real-time machine learning projects.
  • Completed numerous courses in AI and ML, further enhancing expertise in the field.

Proficient in Tools and Software:

  • Thermocalc
  • Streamlit
  • R-language
  • Core python
  • Machine learning 
  • Power BI
  • Deep learning
  • Airtificial intellegence
  • Desmos phase analysis
  • Ansys
  • CALPHAD
  • Python
  • Tableau
  • Pycharm
  • SPSS
  • Azure
  • Spark-Hadoop
  • SAAS
  • My-SQL
  • SEM
  • XRD
  • Casting Tools
  • Advanced Excel
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