Sandhya Rani
About Sandhya Rani
Sandhya Rani is a Data Scientist with a Master's degree in Cloud Computing and Big Data. She has developed a data recognition app that significantly reduced manual data entry and currently works at Sharpestminds and Multi-health Systems Inc. in Toronto.
Work at SharpestMinds
Sandhya Rani has been employed at SharpestMinds as a Data Scientist since 2019. In this role, she focuses on leveraging data to drive insights and improve decision-making processes. Her work includes developing analytical models and tools that support various business functions. Sandhya's contributions are aimed at enhancing the overall efficiency and effectiveness of the organization.
Work at Multi-health Systems Inc.
Since 2019, Sandhya Rani has also held the position of Data Analyst at Multi-health Systems Inc. in Toronto, Ontario, Canada. In this capacity, she analyzes data to support health-related projects and initiatives. Her responsibilities include interpreting complex datasets and providing actionable insights that inform strategic decisions within the organization.
Education and Expertise
Sandhya Rani holds an undergraduate degree in Electrical and Electronics Engineering. She furthered her education by obtaining a Master's degree in Cloud Computing and Big Data from Lambton College. This educational background equips her with a strong foundation in data analysis, machine learning, and cloud technologies, which she applies in her current roles.
Professional Background
Prior to her current positions, Sandhya Rani worked as a QA Analyst at Vjil Consulting Limited from 2015 to 2016. She later served as a Data Analyst at We Can Win for three months in 2018. These roles provided her with valuable experience in data quality assurance and analysis, contributing to her skill set as a data professional.
Achievements in Data Science
Sandhya Rani developed a data recognition application using TensorFlow and OpenCV, which significantly reduced manual data entry efforts by 95%. Additionally, she is involved in building dashboards for feedback and sales data to enhance sales and marketing strategies. Currently, she is working on a forecasting model that utilizes historical paper data to improve business outcomes.