Bindiya Sandeep Kumar
About Bindiya Sandeep Kumar
Bindiya Sandeep Kumar is a Virtual Intern and CRM & Database Coordinator at Women's Association South East Melbourne, with extensive experience in data science and database management. She has worked in various roles, including Graduate Data Scientist and Assistant Trainer in Data Science & AI, and possesses strong skills in Python, SQL, and data visualization.
Work at KPMG Australia
Bindiya Sandeep Kumar has been serving as a Virtual Intern at KPMG Australia since 2021. In this role, she engages in various tasks that support the firm's operations and projects. Her internship experience contributes to her professional development in a leading global consulting firm, allowing her to apply her academic knowledge in a practical setting.
Current Role at WASEMA
Bindiya has been the CRM & Database Coordinator at the Women's Association South East Melbourne (WASEMA) since 2021. In this position, she manages and organizes data related to the association's activities. Her role involves ensuring effective data manipulation and integration, which supports the organization's mission and outreach efforts.
Experience as Graduate Data Scientist
From 2020 to 2021, Bindiya worked as a Graduate Data Scientist at the Institute of Data in Melbourne. This role provided her with foundational experience in data science, where she developed skills in data analysis and manipulation. Her tenure at the institute lasted for six months, during which she gained practical insights into the data science field.
Education and Expertise
Bindiya holds a Postgraduate Degree in Personnel Management & Marketing Management from the Indian Institute of Planning and Management, completed from 2008 to 2010. She also earned an Industry Certification in Data Science & Artificial Intelligence from the Institute of Data/RMIT between 2020 and 2021. Additionally, she obtained a Bachelor's degree in Information Technology and Management from Lady Doak College from 1998 to 2001.
Technical Skills and Tools
Bindiya possesses strong technical skills in data manipulation and analysis. She is proficient in Python and its libraries, including NumPy, Pandas, Seaborn, Matplotlib, Plotly, SQLite, and Scikit-learn. Her knowledge extends to SQL databases such as PostgreSQL, MongoDB, and MySQL. She also has experience with data visualization tools like Tableau and is skilled in using the MS Office Suite.