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Vasan Churchill

I’m a senior technologist who tinkers with both digital and physical tools to create value for industry. I am currently learning data science and ML techniques to solve interesting additive manufacturing problems.Looking forward to work with enthusiastic individuals in the areas of machine learning, data science, additive/digital manufacturing and industry 4.0.

Skills

Education

PhD. Mechanical Engineering, University of Delaware, USA
(Aug 2006 – Feb 2011)
Dissertation: Composites Manufacturing, Simulations and Nanocomposites

M.Tech. Production Technology, IIT Delhi, New Delhi, India
(Jul 2004 – Jun 2006)
Thesis: CAD/CAM and Nanocomposites

B.E. Mechanical Engineering, Thiagarajar College of Engineering, India
(Sep 2000 – May 2004)
Project:High temperature pressure sensor

Work Experience

Senior Scientist, RISE, SWEDEN (Aug 2013 – PRESENT)

• Software Development for Robotic Additive Manufacturing
• Slicer software algorithms using computational geometry and robotic path planning using graph theory to reduce build time
• Finite Element Analysis productivity improvement by automating mesh generation for complex geometries using python
• Raised 4 MSEK funds for innovative ideas via writing proposals and collaborating with industries
• Digitalization of composites manufacturing
• 3D printing of batteries

Data Scientist, GOPHR, UK (Mar 2020 – Apr 2020)

• In partnership with the Science to Data Science (S2DS) programme, I worked in a team of 4 data scientists for 5 weeks to consult Gophr, a same day courier mediation platform 
• Development of a ML solution to improve the courier job acceptance rate along with the team
• Provided valuable insights from their delivery data (200,000) using Data Visualization libraries (GeoPandas, Shapely)
• Agile prototyping and implementation of ML pipeline using Python and my SQL
• Created business value by identifying key deployment areas for our ML solutions

Research Scientist, GE Global Research, India (Feb 2011 – Jul 2013)

• Performed structural analysis of alternate wind blade configurations to prove the feasibility, resulting in 2 patents
• Generated scripts from MATLAB program to evaluate and identify the parameters (geometric and material) affecting the wind blade structure resulting in 20% weight and cost reduction
• Developed experimental verification of simulation methodologies for flow & cure modeling of wind blades and reduced the defect rate by 70%

Energy Analyst, USA (Jan 2007 – Aug 2010)

• Prepared extensive energy audit reports to summarize the energy consumption patterns, available savings opportunities, payback periods and government incentives
• Helped industries save $600,000 and reduce 7 million pounds of C0₂ emissions by giving recommendations, which are easier to implement

Certifications