Amber Pande
About Amber Pande
Amber Pande is a Data Scientist with experience in designing data pipelines and utilizing data processing frameworks. She has previously worked at data.ai, Accenture, and Netlink Software Group America Inc., and holds a Bachelor of Technology in Computer Science from Rajiv Gandhi Prodoyogiki Vishwavidyalaya.
Work at Turing
Amber Pande currently holds the position of Data Scientist at Turing, having joined the company in 2024. In this role, she focuses on leveraging her expertise in data science to develop solutions that enhance business decision-making. Her work involves analyzing complex datasets and providing actionable insights that drive strategic initiatives.
Previous Experience in Data Engineering
Prior to her role at Turing, Amber Pande worked as a Data Engineer at data.ai from 2023 to 2024. During her seven-month tenure, she specialized in designing and implementing data pipelines that transformed raw data into actionable insights. Additionally, she served as a Data Engineering Associate at Accenture from 2022 to 2023, where she developed an automated emailing tool that delivered real-time insights to stakeholders.
Internship Experience in Data Science
Amber Pande gained valuable experience as a Data Science Intern at Netlink Software Group America Inc from 2021 to 2022. During her ten-month internship, she built a face recognition attendance system using Python, OpenCV, and deep learning libraries. This project highlighted her ability to apply theoretical knowledge to practical applications in data science.
Education and Expertise
Amber Pande earned her Bachelor of Technology (BTech) degree in Computer Science from Rajiv Gandhi Prodoyogiki Vishwavidyalaya in Bhopal. Her academic background provides a solid foundation for her expertise in data modeling, optimization, and performance tuning, which she applies to ensure efficient data storage and retrieval in her professional roles.
Technical Skills and Tools
Amber Pande specializes in utilizing data processing frameworks such as Apache Spark, Apache Kafka, and Hadoop. These tools enable her to integrate data sources and automate complex data workflows effectively. Her skill set also includes designing data pipelines that facilitate the transformation of raw data into insights, supporting data-driven decision-making.