Sai Kiran
About Sai Kiran
Sai Kiran is a data scientist with a Bachelor's degree in Computer Science from Jawaharlal Nehru Technological University. He has expertise in Natural Language Processing, artificial intelligence, and data analysis, along with experience in creating visualizations using Tableau and Power BI.
Education and Expertise
Sai Kiran studied at Jawaharlal Nehru Technological University, where he earned a Bachelor's degree in Computer Science from 2013 to 2017. His education provided a strong foundation in computer science principles and practices. He has developed expertise in Natural Language Processing (NLP) and artificial intelligence algorithms, which are critical in the field of data science. Additionally, he possesses extensive practical knowledge of data analysis and machine learning packages in Python, including Pandas, NumPy, SciPy, Scikit-Learn, Gensim, and SpaCy.
Work Experience at Enbridge Gas
Sai Kiran worked as a Data Scientist at Enbridge Gas from 2019 to 2020 in Toronto, Ontario, Canada. During his tenure, he contributed to various data science initiatives, applying his skills in data analysis and machine learning. His role involved engaging with the entire Data Science Project Lifecycle, which includes critical phases such as Data Acquisition, Data Cleaning, and Data Engineering.
Data Science Project Lifecycle Involvement
Sai Kiran is experienced in the complete Data Science Project Lifecycle. This includes essential phases such as Data Acquisition, where data is gathered from various sources; Data Cleaning, which ensures data quality; and Data Engineering, which involves preparing data for analysis. His involvement in these phases demonstrates a comprehensive understanding of data science processes.
Data Visualization Skills
Sai Kiran is proficient in creating dashboards and interactive reports using Tableau and Power BI. He utilizes a variety of visualizations, including Chart-Box, Heat Maps, Tree Maps, and Geographic Visualizations, to effectively communicate data insights. His ability to present data visually enhances decision-making processes and facilitates better understanding of complex datasets.