Vinod P.

Vinod P. has worked as a Data Scientist for Findability Sciences since 2022, a Senior Data Scientist for Sriya DXI LLC since 2022, and a Data Scientist for MITU Research since 2019. At Findability Sciences, they utilized analytical and technical expertise to provide insights and proposals to support business improvement, evaluated the analytical results and findings in the reports, and developed the Exploratory Data analysis to fulfill the required insights and objectives. At Sriya DXI LLC, they fulfilled all data science duties for a high-end capital management firm, created and built the Machine learning as well as Deep Learning Algorithm in Python, integrated the algorithm through Django on the company website, and developed and automated the self service model. At MITU Research, they were responsible for Data Collection, cleaning, feature selection and Variable analysis, analysed and Processsed complex datasets using visualization and analytic tools, and designed algorithms to track and detect anomalies in multiple data.

Vinod P. completed a Bachelor of Engineering in Mechanical Engineering from GOVERNMENT COLLEGE OF ENGINEERING, JALGAON. between 2006 and 2010. Vinod then went on to earn a Master of Technology in Mechanical Design Engineering from Nirma University, Ahmedabad, Gujarat, India in 2013. Vinod P. has also obtained various certifications, including Data Science and Machine Learning with Python from Udemy in December 2021, R for Data Science from Great Learning in November 2021, Introduction to Numpy from Simplilearn in October 2021, Python Programming from MITU Skillologies in October 2021, Python Projects from Great Learning in October 2021, Python for Data Science from Great Learning in October 2021, Python for Machine Learning from Great Learning in August 2021, Hands-on Training & Certification on AI for Mechanical Engineers from MIT Academy of Engineering, Alandi, Pune in July 2021, and a Certificate for Completion of Python 3.4.3 Training from Indian Institute of Technology, Bombay in April 2020.