Sahil Garg
@sahilgarg
Data Scientist skilled in machine learning and predictive modeling.
What I'm looking for
As a passionate Data Scientist, I have honed my skills in machine learning, deep learning, and data analysis, contributing significantly to various projects and initiatives. My experience includes developing SQL-driven dashboards that enhanced data quality checks, identifying discrepancies that could have led to substantial financial losses, and optimizing customer segmentation strategies that resulted in a 15% gain in business initiatives.
At Zuno General Insurance, I designed a predictive model for motor own-damage loss ratios, achieving a 12% boost in prediction accuracy through advanced feature selection and hyperparameter tuning. My previous role at Siemens involved real-time anomaly detection, which minimized downtime by 10% and improved client satisfaction by 20%. I am committed to leveraging data to drive strategic decisions and enhance operational efficiency.
Experience
Work history, roles, and key accomplishments
Data Scientist
Zuno General Insurance
Jul 2024 - Present (1 year)
Contributed to SQL-driven dashboards for comprehensive data quality checks, ensuring accuracy and consistency across critical tables. Identified discrepancies linked to
₹300M+ potential loss, prompting a company-wide shift in data handling processes.
Data Scientist
Siemens
Apr 2022 - Present (3 years 3 months)
Leveraged advanced data analysis techniques to perform real-time anomaly detection and prediction, proposing proactive maintenance and minimizing downtime by 10%. Collaborated with clients to identify their software needs and enhancements to improve system performance that led to a notable improvement of 20% in overall client satisfaction.
Education
Degrees, certifications, and relevant coursework
AIMT Dehradun
Bachelor of Information Technology, Information Technology
Studied Information Technology, gaining foundational knowledge and practical skills in various IT domains. Completed the program between 2018 and 2021.
Availability
Location
Authorized to work in
Job categories
Skills
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