Manoj Ducher

Manoj Ducher has a diverse work experience spanning multiple industries and roles. Manoj is currently working at Back Market as a Senior backend engineer, a position they have held since May 2022. Prior to this role, they worked as an Experienced backend engineer at the same company from July 2020 to April 2022. Manoj also has experience as a Python developer, working at Back Market from August 2018 to August 2020.

Before joining Back Market, Manoj worked as a Python developer specializing in Data Science at Schola Nova, Agility Factory from December 2017 to July 2018. In this role, they gained technical skills in Python, numpy/pandas, machine learning with scikit-learn, and web frameworks such as Django and Flask. Manoj also developed expertise in Git, AWS, heroku, REST API, shell scripting, SQL, web scraping, and HTML/CSS.

Manoj's earlier experience includes a role as a PhD Fellow and R&D project manager at the Institute of Mineralogy, Materials Physics and Cosmochemistry (IMPMC) from October 2014 to September 2017. During this time, they focused on equilibrium Zn isotope fractionation study and numerical modeling of materials. Manoj also served as a teaching assistant at Université Pierre et Marie Curie from October 2014 to September 2017.

Additionally, Manoj has worked as an R&D intern for their Master's thesis at the Institute of Mineralogy, Materials Physics and Cosmochemistry (IMPMC) from February 2014 to July 2014, where they conducted research on XANES calculations and measurements. Prior to that, they were an R&D intern at Uppsala Universitet from April 2013 to June 2013, focusing on the study of gaz-perfluorocarbon interaction using density functional theory.

Manoj's early internships include roles as an R&D intern at Paris Institute of Nanosciences (INSP) in 2012 and 2011, where they conducted experimental work and optical microscopy studies on eutectic alloy and metallic binary alloy.

Overall, Manoj Ducher has a strong background in backend engineering, Python development, Data Science, and research project management.

Manoj Ducher has an extensive educational background in the field of physics and material science. Manoj completed their Bachelor of Science (B.Sc.) in Physics at Pierre and Marie Curie University from 2009 to 2012. Following that, they pursued a Master of Science (M.Sc.) degree in Physics at the same university from 2012 to 2013. During this period, they also attended Uppsala University for a short duration in 2013 to study Nanophysics and Nanomaterials as part of their NANOMAT Master program.

In 2013, Manoj Ducher returned to Pierre and Marie Curie University to pursue a Master of Science (M.Sc.) degree in Material Science and Nano-objects, which they completed in 2014 with Distinction. Subsequently, they continued their studies at Pierre and Marie Curie University and obtained a Ph.D. in Materials Science from 2014 to 2017.

To enhance their skills and knowledge in the field of Computer Science, Manoj Ducher attended Schola Nova, Agility Factory from 2017 to 2018. While the specific degree obtained during this period is not provided, they focused on Computer Science.

In addition to their formal education, Manoj Ducher has also obtained several certifications. In November 2017, they earned the Big Data Foundations - Level 1 certification from IBM, as well as the Intro to Python for Data Science certification from DataCamp. Manoj also acquired a certification in MapR Technologies during the same month. In October 2017, they completed the Fondamentaux pour le Big Data certification from INSTITUT MINES TELECOM FunMOOC. However, no information is available regarding the institutions that granted him the C2i and PSC1 certifications.