Arpita Singh

Arpita Singh has a diverse work experience spanning various roles and industries. Arpita started their career at HimalayanTechies Pvt. Ltd. as a Web Developer, where they gained expertise in developing web and mobile applications using technologies like JSON, CakePHP, and MySQL. Arpita then worked as a Quality Analyst at Tekvortex for a year, followed by a similar role at Sustainable Solutions (NZ) Ltd. for almost three years. Arpita then joined IME Pay as a Business Analyst for a period of six months. Currently, they are serving as a Finance and Business Development Analyst Trainee at SOLAR MATERIALS GmbH. Arpita's experience demonstrates their technical skills and ability to adapt to different roles within various industries.

Arpita Singh's education history is as follows:

Arpita Singh completed their Bachelor of Engineering (BEng) degree in Computer Engineering from WhiteHouse College. The dates of their enrollment and graduation from this institution are not provided.

Arpita then pursued a Master of Business Administration (M.B.A.) degree in Business Administration and Management, General from Apex College. Arpita started their studies at Apex College in 2015 and graduated in 2019.

Currently, Arpita Singh is pursuing a Master's degree in Operations Research & Business Analytics from Otto-von-Guericke University Magdeburg. The specific start date of their program is not provided, but it is mentioned that they are currently enrolled.

In addition to their formal education, Arpita Singh has obtained several certifications in various subjects. Arpita completed certifications such as "ARIMA Models in Python" from DataCamp, "Git from Scratch" from LinkedIn, "Postman Essential Training" from LinkedIn, "Power BI: Dashboards for Beginners" from LinkedIn, "SQL Tips and Tricks for Data Science" from LinkedIn, "SQL for Data Analysis" from LinkedIn, "Transitioning from Waterfall to Agile Project Management" from LinkedIn, "Using Power BI with Excel" from LinkedIn, "AI Fundamentals" from DataCamp, "Data Manipulation with pandas" from DataCamp, "Data types for Data Science in Python" from DataCamp, "Intermediate Predictive Analysis in Python" from DataCamp, "Introduction to Predictive Analysis in Python" from DataCamp, "Python Data Science Toolbox (Part 1)" from DataCamp, "Python Data Science Toolbox (part 2)" from DataCamp, "Supervised learning with Scikit-learn" from DataCamp, "Introduction to Data Engineering" from DataCamp, "Introduction to Python" from DataCamp, "Introduction to R" from DataCamp, and "Introduction to Data Science in Python" from DataCamp.

It is important to note that the specific dates of their certification completions are provided, ranging from 2022 to 2023.