Former Student & Volunteer, ReDI School for Digital Integration
MeetUp F.10 Tisch 3 | Halle 5
Thema/Themenreihe: Wissenschaft, Technik, Digitalisierung & Technologie | Karrierelaufbahn & Bewerbung
A Career in Data Science: From Mining to Data-Mining
Hosna Khoshkhoo will share her path to pursue a career in male-stereotyped fields in a highly patriarchal society. She studied a Bachelor in Mining Engineering in Iran. Although she never had the chance to mine rocks, during the 6 years of work experience she got involved in the process of mining data out of civil structures known as Structural Health Monitoring. This experience inspired her to continue her education and get her hands on experience data analytic on a more technical level…
Präsentiert von ReDI School for Digital
Details zum/r Referent/in Hosna Khoshkhoo
Vita: Hosna Khoshkhoo studied Mining Engineering and worked for 6 years in the field of Health Monitoring of Civil Structures. It goes in the category of Data Analysis in the sense that her department, used to install various sensors on a civil structure e.g. a hydro dam or a tunnel, gather and process their data continuously to make sure the structure is behaving as technically expected otherwise to warn the relevant authorities. However, she was in charge of the sales department and not involved in the actual technical level e.g. programming. Having the desire to get more technically involved she decided to continue her education and got accepted in a Master’s Program in Geophysics offered jointly by Ludwig-Maximilian University and Technical University of Munich where she gained experience in programming. After finishing her Master’s and during the search for jobs she got familiar with the hot topic of Data Science and Machine Learning and found it very fascinating. During her Data Science journey, she participated in ReDI School of Digital Integration both as a student and volunteer tutor which significantly expedited her progress. Currently, she is working as an IT-Service while following her passion for Data Science besides her career. She wishes her career and passion eventually converge in the near future.