Rahul Sangole Email & Phone Number
@apple.com
2 phones found area 812 and 800
LinkedIn matched
Who is Rahul Sangole? Overview
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Rahul Sangole is listed as #datascientist @Apple | Instructor @The Carpentries | #timeseries at Apple, based in Cupertino, California, United States. AeroLeads shows a work email signal at apple.com, phone signal with area code 812, 800, and a matched LinkedIn profile for Rahul Sangole.
Rahul Sangole previously worked as Sr Data Science Manager at Apple and Data Scientist - Services Finance at Apple. Rahul Sangole holds Master'S Degree, Predictive Analytics from Northwestern University.
Email format at Apple
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AeroLeads found 1 current-domain work email signal for Rahul Sangole. Compare company email patterns before reaching out.
About Rahul Sangole
Staff Data Scientist with a Six Sigma Black Belt and 15 years of work experience delivering projects using analytics
Listed skills include Six Sigma, Finite Element Analysis, Design Of Experiments, Ansys, and 46 others.
Rahul Sangole's current company
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Rahul Sangole work experience
A career timeline built from the work history available for this profile.
Data Scientist - Services Finance
Business Modeling, Predictive Modeling, Time Series, Productionization & Scaling
Data Scientist - Apple Cloud Services
Data Scientist - Services Analytics Forecasting & Efficiency (Safe)
Enable the Finance team make data based spending decisions by analyzing supply and demand for critical resources. Build time-series forecasting models, prod ready R packages, Shiny apps - all end to end reproducible using Docker.
Carpentries Instructor
CurrentOrganize and teach Carpentry workshops to spread data literacy and programmatic skills
Data Science Manager
Lead a team of data scientists. Deliver insights into telematics engine data using multivariate graphical exploration, anomaly detection models, statistics and machine learning algorithms, using R, R markdown and PowerBI, in MS Azure.Develop functional excellence practices for analytics, like paradigms for exploratory work in R vs production-ready R packages.
Data Scientist
Developed anomaly detection algorithms used for engine prognostics; developed production R codes; developed R packages implementing research papers.
Six Sigma Black Belt
Lead projects for the Connected Solutions team, which is focussed on kickstarting development of telematics and analytics products and services at Cummins.
Six Sigma Black Belt
• Awarded a Chairman’s Quality Award, four Best Practice awards, and a Chairman’s Quality Award nomination• Led high complexity and high business impact projects using six sigma for product quality, product management, supply chain and engineering with financial impact from $150,000 to $10 million• Increased quality of six sigma throughput of the organization by implementing a mentoring process consisting of support sessions, survey driven training events and dashboards to monitor performance• Solved problems faced by business leaders using inferential statistics, null-hypotheses testing, linear regression, ANOVA, DOE, sample size estimation, measurement-systems-analysis, control charts etc.• Partnered with CTT leader team members to translate continuous process improvement opportunities into deliverable charters
Senior Structural Analyst Engineer
• Drove $2 million annual cost reduction via improved engine bedplate design.• Delivered analytical and experimental validation of engine components.• Developed calibrated finite element models (within 2-5% error to experimental) to predict on-engine failures• Developed standardized processes resulting in reduced process variation and time to delivery, and improved quality.• Wrote technical reports, wikis and user guides to support technical and non-technical business users.
Product Validation Engineer, Mid-Range Customer Engineering
• Led 7-step problem-solving teams of engineers, data analysts, suppliers & customers to address high customer impact issues through root cause analysis using six sigma tools.• Delivered annual savings cumulative of $250,000 to the business.• Developed algorithms to analyze failure data and standardized reports using BOXI, MS VB and MATLAB.• Increased team efficiency by deploying scripts to automate extraction of data from IBM IMS.
Board Member, Sae Indiana Chapter
Increased event attendance by 20% as the Secretary. Designed new branding materials & developed saeindiana.org as the Communications Manager.
Research Assistant - Compliant Systems Design Lab
Worked for Prof Sridhar Kota on compliant systems. Designed and optimized non-linear bi-stable torsional springs systems using Matlab and Ansys Classic.
Research Assistant
Worked for Prof Tilbury and James Moyne on developing a semiconductor factory network simulator to investigate IEEE 1588 time synchronization techniques in distributed systems in industrial Ethernet using in XML and JAXB complying with SEMI standards
Intern
Worked for Prof Pant on the design and fabrication of indoor remote controlled airships with servo operated thrust vectoring systems. Developed CFD codes to optimize hull shapes to lower drag coefficients.
Rahul Sangole education
Master'S Degree, Predictive Analytics
Master'S Degree, Mechanical Engineering
Bachelor'S, Mechanical Engineering
Frequently asked questions about Rahul Sangole
Quick answers generated from the profile data available on this page.
What company does Rahul Sangole work for?
Rahul Sangole works for Apple.
What is Rahul Sangole's role at Apple?
Rahul Sangole is listed as #datascientist @Apple | Instructor @The Carpentries | #timeseries at Apple.
What is Rahul Sangole's email address?
AeroLeads has found 1 work email signal at @apple.com for Rahul Sangole at Apple.
What is Rahul Sangole's phone number?
AeroLeads has found 2 phone signal(s) with area code 812, 800 for Rahul Sangole at Apple.
Where is Rahul Sangole based?
Rahul Sangole is based in Cupertino, California, United States while working with Apple.
What companies has Rahul Sangole worked for?
Rahul Sangole has worked for Apple, The Carpentries, Cummins Inc., Sae International, and University Of Michigan College Of Engineering.
How can I contact Rahul Sangole?
You can use AeroLeads to view verified contact signals for Rahul Sangole at Apple, including work email, phone, and LinkedIn data when available.
What schools did Rahul Sangole attend?
Rahul Sangole holds Master'S Degree, Predictive Analytics from Northwestern University.
What skills is Rahul Sangole known for?
Rahul Sangole is listed with skills including Six Sigma, Finite Element Analysis, Design Of Experiments, Ansys, Matlab, R, Engineering, and Statistical Data Analysis.
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