Prajakta Sirame
About Prajakta Sirame
Prajakta Sirame is a skilled Data Analyst with expertise in various modeling techniques and deep learning. She holds a Bachelor's degree in Electronic Engineering and currently pursues an MSc in Data and Business Analytics while working at Faurecia in Paris.
Work at Faurecia
Currently, Prajakta Sirame serves as a Data Analyst at Faurecia, a global leader in automotive technology. She has been in this role since 2021, contributing to data-driven decision-making processes in Paris, Île-de-France, France. Her responsibilities include analyzing complex datasets to provide insights that support business strategies and enhance operational efficiency.
Current Role at Rennes Job Services
In addition to her position at Faurecia, Prajakta has been working as a Business Developer at Rennes Job Services since 2020. In this role, she focuses on developing business opportunities and strategies, leveraging her analytical skills to identify market trends and client needs in Rennes, Brittany, France.
Education and Expertise
Prajakta Sirame holds a Bachelor's degree in Electronic Engineering from the University of Mumbai, where she graduated with First Class honors. She also earned an Engineer's degree in Electronics and Tele-Communication from Vidyalankar Polytechnic. Currently, she is pursuing an MSc in Data and Business Analytics at Rennes School of Business. Her expertise includes various modeling techniques and deep learning technologies, such as NLP, CNN, RNN, attention models, and transformers.
Professional Background
Prajakta's professional journey includes roles as a Software Developer and Business Intelligence Developer at New India Co-Operative Bank Limited in Mumbai from 2018 to 2021. She also worked as a Research Assistant at Rennes School of Business for two months in 2021. Additionally, she interned as a Software and Data Developer at the Indian Institute of Technology, Bombay, from 2017 to 2018.
Technical Skills and Tools
Prajakta possesses a strong technical skill set, proficient in programming languages such as Python, R, SQL/PLSQL, C++, JAVA, HTML, Angular JS, and CSS. She is skilled in using data science libraries including Pandas, Numpy, Sklearn, Matplotlib, Keras, Tensorflow, and Pytorch. Her ability to combine technical skills with business knowledge enables her to create insightful narratives that address business challenges.