Shantanu Das
Turning messy data into actionable insights.
Turning messy data into actionable insights.
I’m a Data Analyst shaped by corporate experience in clinical documentation, where attention to detail and discipline were fundamental. My work centres on statistical analysis, structured problem-solving, and translating data into insights that inform sound decisions..
As a Data Analyst and AI enthusiast, I create impactful and innovative solutions.
Through careful data wrangling, I transform raw data into compelling visuals that reveal patterns and make information easy to understand.
Through clear visualizations, I uncover the answers to 'who?', 'when?', 'why?', 'how?', turning data into actionable insights that guide strategic decisions.
After uncovering the 'who, when, why, how', I turn data into predictive models that help stakeholders anticipate outcomes and drive success.
Guided by Artificial Intelligence, driven by purpose, to make a difference.
A deep dive into SCMS Fed-Ex Dataset, studying relationships between the delivery times, costs and insurance requirements and/or coverage for shipments to different countries.
A look into PaisaBazaar's credit card and loan information dataset to perform banking fraud analysis help them identify risk factors before lending to individuals and cater better services to existing customers.
An analysis of a restaurant dataset containing information of restaurants around the world, their features and attributes, and a deep dive study of the ratings and services that lead to said ratings.
A case study on the healthtech platform Apollo 24|7, real-world problems they are solving and the challenges they face in doing so, followed by a schema description, structure and ER diagram as to how such a platform may function.
A short analysis and study of a Netflix dataset to answer some key business questions such as analysis of genres, votes, movies and TV Shows.
This was my first EDA project where I study different video games, their genres, release dates, and trends of video game releases and the response they got over the years, assisted by visualizations.
Whether it’s project feedback, collaboration or a friendly hello — drop a line.