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To Whom It May Concern,
I am pleased to write this letter of recommendation for Ms SSS, who served as a Research and Development Intern at Saarloha Advanced Materials Pvt Ltd under my supervision for a two-month summer internship. During this time, Ms SSS demonstrated exceptional analytical skills and a dedicated work ethic, making significant contributions to our research projects.
The primary project Ms SSS worked on was the development of a predictive model to estimate yield strength for different grades of steel as a function of chemical composition, size, and heat treatment data. She conducted an extensive amount of research on numerous steel grades, including HR-120, Inconel 718, 44MnSiVS6, and 36MnVS6, researching their heat treatment cycles, production processes, and temperature dependencies on strength and microstructural properties. Her systematic research approach and attentiveness to details were reflected in the highly detailed reports she generated regularly and timely.
What impresses the most in Ms SSS’s work was that she was able to compare multiple models in machine learning, such as Linear Regression, Decision Trees, Random Forests, Support Vector Machines, Extra Tree Regressor, and Voting Regressor. She found the best predictors to be Random Forest and Gradient Boosting Regressor. The dataset she compiled contains very critical information about chemical compositions, sizes, heat treatment conditions, and yield strengths, which she processed very carefully to ensure data integrity.
Ms SSS’s dedication to perfection was also reflected in her acceptance of an additional 15 days to the internship to work on issues with the data processing. This has helped her polish the prediction model to have a near-zero error percentage, thus delivering a much better output on the project. The empirical formula she derived can also be used as a useful resource for our industry in process optimization, reduction of cost, and better quality product.
Apart from her technical skills, Ms SSS’s collaborative spirit was evident during our visits to the KPIT and KCTI research facilities. Her eagerness to learn and engage with professionals in the field reflects her commitment to her personal and professional growth.
I wholeheartedly recommend Ms SSS for any future endeavors she might feel inclined to pursue. Her thinking skills, diligence, and proactive attitude will surely stand her in good stead in any academic or professional light.
Should you require any further information, please feel free to contact me at XX@123.com
Sincerely,
Mr. XXXX
Manager
Monday - Sunday (9:00 AM - 9:00 PM)