Anirudha Kulkarni
@anirudhakulkarni
Analytics professional at Philips India Limited
Pune
Anirudha Kulkarni is a data analytics professional with expertise in Python, SQL, and statistical tools like JMP. He has extensive experience developing predictive analytic models and conducting root cause analysis using historical data in both the healthcare and aerospace sectors. His background includes transforming complex system-level problems into data-driven solutions, contributing to cost management, and optimizing processes.
Experience
MTS-II (Member of Technical Staff)
Philips India Limited (Through Sebone Technologies)
Responsible for statistical analysis of post market surveillance data of healthcare products. Key duties include querying complaint data from Azure, data cleaning, owning monthly complaint trending analysis, and owning quarterly risk trending analysis to identify product risk changes.
Data Analytics
GE India Technology Center (GE Aviation)
Served as a single point of contact for owned analytic models. Conducted data mining and modeling for cost management, material/demand forecasting, and Time on Wing (TOW) analysis. Key contributions included developing predictive models for scrap rate and hardware distress using big data and environmental parameters, and collaborating on deploying analytics.
Product design and development
GE India Technology Center (GE Aviation)
Acted as the single point of contact for field issues of owned hardwares. Responsibilities included resolving productivity issues, assessing hardware life numbers, and implementing LEAN/standard works to reduce waste. Led projects on Module Escalation Rate (MER) reduction and life extension for various engine components.
Education
IIT Kanpur
M.Tech
Solid Mechanics and Design
Thesis focused on Vibration transmissibility based identification of viscoelastic systems.
Pune University
B.E
Mechanical Engineering
Maharashtra State Board
HSC
Maharashtra State Board
SSC
Licenses & Certifications
Edison Engineering Development Program (EEDP)
GE Aviation
Six Sigma Training
GE Aviation
LEAN
GE Aviation