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Rahul Sangole Email & Phone Number

#datascientist @Apple | Instructor @The Carpentries | #timeseries at Apple
Location: Cupertino, California, United States 15 work roles 3 schools
1 work email found @apple.com 2 phones found area 812 and 800 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email r****@apple.com
Direct phone (812) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
#datascientist @Apple | Instructor @The Carpentries | #timeseries
Location
Cupertino, California, United States

Who is Rahul Sangole? Overview

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Quick answer

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.

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Email format at Apple

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{first_initial}{last}@apple.com
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AeroLeads found 1 current-domain work email signal for Rahul Sangole. Compare company email patterns before reaching out.

Profile bio

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.

Current workplace

Rahul Sangole's current company

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Apple
Apple
#datascientist @Apple | Instructor @The Carpentries | #timeseries
AeroLeads page
15 roles

Rahul Sangole work experience

A career timeline built from the work history available for this profile.

Sr Data Science Manager

Current

Cupertino, California, Us

Oct 2024 - Present

Data Scientist - Services Finance

Cupertino, California, Us

Business Modeling, Predictive Modeling, Time Series, Productionization & Scaling

Oct 2021 - Oct 2024

Data Scientist - Apple Cloud Services

Cupertino, California, Us

Jul 2021 - Oct 2021

Data Scientist - Services Analytics Forecasting & Efficiency (Safe)

Cupertino, California, Us

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.

Jul 2019 - Jul 2021

Carpentries Instructor

Current

Oakland, California, Us

Organize and teach Carpentry workshops to spread data literacy and programmatic skills

May 2023 - Present

Data Science Manager

Columbus, Indiana, Us

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.

Apr 2017 - Jun 2019

Data Scientist

Columbus, Indiana, Us

Developed anomaly detection algorithms used for engine prognostics; developed production R codes; developed R packages implementing research papers.

Aug 2016 - Mar 2017

Six Sigma Black Belt

Columbus, Indiana, Us

Lead projects for the Connected Solutions team, which is focussed on kickstarting development of telematics and analytics products and services at Cummins.

Jan 2016 - Aug 2016

Six Sigma Black Belt

Columbus, Indiana, Us

• 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

Nov 2013 - Jan 2016

Senior Structural Analyst Engineer

Columbus, Indiana, Us

• 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.

Mar 2010 - Nov 2013

Product Validation Engineer, Mid-Range Customer Engineering

Columbus, Indiana, Us

• 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.

Jan 2008 - Mar 2010

Board Member, Sae Indiana Chapter

Warrendale, Pa, Us

Increased event attendance by 20% as the Secretary. Designed new branding materials & developed saeindiana.org as the Communications Manager.

Jan 2010 - Jun 2015

Research Assistant - Compliant Systems Design Lab

Ann Arbor, Mi, Us

Worked for Prof Sridhar Kota on compliant systems. Designed and optimized non-linear bi-stable torsional springs systems using Matlab and Ansys Classic.

Sep 2006 - Dec 2007

Research Assistant

Ann Arbor, Mi, Us

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

May 2007 - Aug 2007
3 education records

Rahul Sangole education

Master'S Degree, Predictive Analytics

Northwestern University

Master'S Degree, Mechanical Engineering

University Of Michigan

Bachelor'S, Mechanical Engineering

Savitribai Phule Pune University
FAQ

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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