Hi, I’m Priyadarshini and am working as a development engineer in my organisation. My role is to develop, and test the rubber compounds and analyse the data. In addition, I provide an interpretation study about the design and improvement of rubber compounds. I wanted to work in as a full-time data analyst. So, I would like to explore a new field of my interest. Moreover, data analytics is a fast-paced growing career with better job opportunities.
While applying data science in my organisation, the only problem was limited data. So, it was hard to predict the analysis. I was able to give a generic view about the interpretation as the data is not reliable due to different circumstances like labour handling differences, different machines, etc. The other challenges were the lack of data and integrity. The tools used for solving this problem were Jupyter, Python and Excel. I selected the basis of the tool a better visualization of the data in a pictorial format using tableau. It will be easy to give in presentation and people can understand by looking at it.
The steps performed in the process involved:
- Identification of the problem
- Developing an action plan
- Conducting a brainstorming meeting
- Material preparation
- Testing
- Data collection
- Looking for any mismatch in it
- Data analysis
- Listing all the possible solutions
- Evaluate
- Communicating to the team
I collected data from proper sources and acted on the relevant data to give better insights for problem-solving. Every week, a new compound is designed and developed. So, all the testing is done and results produced and using that a good interpretation is made. I will do a pilot trial and communicate the changes made in a lab to our team. Next, a big batch of rubber compounds is prepared and testing is performed on a large scale. Positive results occur then on day to day basis it is being implemented. If not so, alternative solutions need to be prepared to counteract the problem that arises. To perform more sample testing so that data is generated better to give accurate results. I was able to improve the tackiness of the rubber compound by 15% of the original recipe. I tried to improve the adhesion strength of the fabric by 30%. More into developing 100% synthetic rubber compound for the products.
I was able to increase the process efficiency which in turn improved the quality of the product. This tells me about the proper application of data science tools in real-time situations. It is not as easy as just knowing about tools. Need to exercise these tools more in the application of all the tools learnt in the course.
