Application of Machine learning algorithms to developing personal thermal comfort models for Smart buildings

Cleanroom TechnologySemi Mechanical AiR Transport (SMART) Ventilation ProjectAnalysis and visualization of research results with Python and R.

▪ Evaluated data sets to identify, analyse and interpret trends and patterns.▪ Data analysis and visualization to discover business insight based on business or management's needs or goals.▪ Converted data into actionable insights by predicting & modelling future outcomes.▪ Developed forecasting tools to analyse trends in a particular industry.

• Learnt the Manufacturing processes of various lubricants.• Worked closely with the blending supervisor to ensure proper record keeping & documentation and also to give out adequate blend formulations. • Carried out daily vessel dipping and conversions, product batching at the lubes oil blending plant and also made sure that samples of all lubes produced are taken to the quality control laboratory for sampling and analysis.• Conducted physical and chemical tests on lubricants at the Quality Control Laboratory to make certain products adhere to a set of quality crite ria.

• Learnt proper interpretation and documentation of laboratory results.• I worked on the Determination of the quantity of heavy metals in alcoholic drinks using the Atomic Absorption Spectrophotometer.