Mayur Bansal
San Jose,CA
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
7
7
years of professional experience
Work History
Data Scientist II
Medical Solutions
03.2023 - Current
- Led end-to-end implementation of LightGBM model for predicting pay of healthcare workers, enhancing pay transparency through several iterative launches. This process resulted in real-time predictions with a 30% improvement in accuracy within target range.
- Developed and implemented framework for automatic retraining of machine learning models, leveraging model performance metrics to ensure continuous optimization and sustained accuracy.
- Implemented SHAP for model explainability and utilized data and model drift detection techniques to guide retraining process, ensuring the model remained aligned with evolving data patterns and business objectives.
Data Scientist
Heal
09.2020 - 02.2023
- Built an in-house risk stratification classifier to profile healthcare members based on their predictive health risk, resulting in enhanced patient segmentation and a 45% improvement in closing timely care gaps for these patients.
- Implemented data integration solutions to consolidate disparate data sources and software, reducing the time it takes for non-technical teams to access critical data by at least 50%
Analytics Manager
Sparrow Charts
04.2020 - 09.2020
- Developed a real-time social media sentiment analysis tool leveraging Flask and SpaCy to generate brand sentiment scores, enabling marketing agencies to gain deeper insights into their customers and contributing to a 70% surge in client base conversion from free to paid subscriptions.
Data Science Intern
Edifecs
05.2019 - 08.2019
- Transformed large and unstructured datasets containing more than 10 million transactions into an integrated electronic medical record system (FHIR), thus achieving data interoperability by using pySpark.
Analytics Consultant
Byteflow Dynamics
11.2018 - 04.2019
- Created statistical models to quantify the likelihood of an improved stock performance for Fortune 500 companies based on their historical seasonal performance, financial standings and relevance in digital media
Business Strategy Manager
Yellow Dove Overseas
07.2017 - 08.2018
- Spearheaded the design and implementation of statistical tests, leveraging predictive models to drive a 25% increase in weighted distribution of super food products in modern retail stores across India
Education
Masters in Applied Analytics -
Columbia University
New York, NY12.2019
Bachelors in Civil and Environmental Engineering -
The Northcap University
Gurgaon, India05.2017
Skills
Programming Languages:
- Python
- R
- SQL
Data Visualization
- Excel
- PowerBI
- Tableau
- Metabase
- AWS Quick Sight
Tools and Software
- Spark
- Flask
- Airflow
- Databricks
- Visual Studio
- Neo4j
- JIRA
- Azure DevOps
Timeline
Data Scientist II
Medical Solutions
03.2023 - Current
Data Scientist
Heal
09.2020 - 02.2023
Analytics Manager
Sparrow Charts
04.2020 - 09.2020
Data Science Intern
Edifecs
05.2019 - 08.2019
Analytics Consultant
Byteflow Dynamics
11.2018 - 04.2019
Business Strategy Manager
Yellow Dove Overseas
07.2017 - 08.2018
Masters in Applied Analytics -
Columbia University
Bachelors in Civil and Environmental Engineering -
The Northcap University