Abhiraj Biswas

Abhiraj Biswas

Data Scientist @ Impact Analytics

About Abhiraj Biswas

Abhiraj Biswas is a Data Scientist at Impact Analytics in Bengaluru, Karnataka, India, specializing in feature engineering and model evaluation for time series data. He has a background in Telecommunications Engineering and has contributed to the Data Science community through blogging.

Work at Impact Analytics

Abhiraj Biswas has been employed at Impact Analytics as a Data Scientist since 2019. In this role, he specializes in feature engineering and model evaluation specifically for time series data. His experience includes deriving key performance indicators (KPIs) from sales-inventory data for a US-based client. Prior to his current position, he worked as a Data Science Intern at Impact Analytics for four months in 2019, gaining foundational experience in data science applications.

Education and Expertise

Abhiraj Biswas holds a Bachelor of Engineering in Telecommunications Engineering from R. V. College of Engineering, Bangalore, where he studied from 2015 to 2019. He completed his Higher Secondary Certificate (HSC) in Science at Miranda Composite PU College from 2013 to 2015. His educational background is complemented by practical experience in data science, including internships at the Indian Institute of Management, Lucknow, and Internshala.

Background

Abhiraj Biswas began his academic journey at Ryan International School, where he completed his 10th grade in Science in 2013. He then pursued his higher education at Miranda Composite PU College and later at R. V. College of Engineering. His professional career includes internships that provided him with exposure to data science and analytics, leading to his current role at Impact Analytics.

Contributions to the Data Science Community

In addition to his professional work, Abhiraj Biswas actively contributes to the Data Science community by writing blogs during his leisure time. This engagement reflects his commitment to sharing knowledge and insights within the field, further enhancing his expertise and involvement in data science discussions.

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