Data Science Intern
Data Glacier
Total years of experience :0 years, 4 Months
● Utilized Python and Flask for model deployment, including learning serialization
and deserialization with different formats like Pickle, JSON, and Yaml.
● Became proficient using Postman for API testing and gained experience in deploying
machine learning models using AWS, linking GitHub repositories for continuous
deployment.
● Acquired skills in version control using BitBucket, and practiced Agile
methodologies through assignments on Scrum, Kanban, and version control.
● Conducted an in-depth analysis for a Cab Investment firm, delivering insights and
recommendations for potential investment strategies.
● Contributed to group projects focusing on various domains such as bank marketing
campaigns, customer segmentation, healthcare drug persistency, and advanced topics
in NLP and data analysis.
● Developed a data pipeline for effective file intake and schema validation.
● Successfully completed project deliverables across multiple weeks, focusing on
cloud and API deployment, EDA, model selection, and dashboard creation.
● Finalized the internship with a comprehensive project report and code submission,
highlighting my ability to conduct exploratory data analysis and propose effective
modeling techniques.