Engineering Marketing

Prashanth Ramesh

***************@*****.*** +91-974******* Bengaluru, Karnataka

CAREER SUMMARY

Industrial Engineering undergraduate focused in Supply Chain Management, worked in the Marketing Department and successfully developed a thriving online QTC community. EDUCATION

Bachelor of Engineering (7.39 GPA), Industrial Engineering and Management, M. S Ramaiah Institute of Technology, Bengaluru, India (Sep ’13 – Aug ’17)

TECHNICAL SKILLS

M S Office, Solid Edge, Arena, Hootsuite, M S Project, PowerBI, MySQL, python WORK EXPERIENCE

Dquotient, Marketing Internship - Bengaluru (May ‘18 – Nov ‘18)

• Experience includes assisting the Marketing Department with landing pages, Preparation of webinars, blogs, Pre sales activities for potential clients.

• Involved in the creation of Online QTC community (qtccommunity.com), brought in about 150 members since its inception. This platform aims to be a go to hub for all Qtc activity which was missing in the market, ranging from meetups, software updates to Jobs that employers and employees can post and seek. Balaji Industries, Internship - Bengaluru (Jan ‘17 – Feb ’17)

• Observations of the product quality and where the components are essentially used in the production line were witnessed (auxiliary parts).

• Order details and Inventory checking were part of the job as an intern. PROJECT

Optimization of overall efficiency using facilities planning & design in ROPP (roll on pilfer proof) Cap making industry using - Immer’s Method.

Layout was changed from process to a product based model. Additional time consuming steps in the production line were improved taking plant capacity into consideration. The plant's overall ability to efficiency was improved by 17%. A mezzanine floor was installed to handle the storage issue. PUBLICATIONS

“Optimization of overall efficiency using facilities planning & design in ROPP (roll on pilfer proof) Cap making industry

” Published in IJSTE ( Volume 3 Issue 12 - 01/07/2017) RELEVANT COURSEWORK

Operations Research, Statistics for Engineers, Simulations Modelling and Analysis, Engineering Economy, Quality Assurance and Reliability, Product Design and Manufacturing, Linear Algebra, Facilities Planning and Design, Linear Regression, Logistic Regression, Support Vector Machines, Decision Tree.

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