Rabeet Shaikh
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Rabeet Shaikh Email & Phone Number

Data Team Lead @ AutoLeap at AutoLeap
Location: Toronto, Ontario, Canada 10 work roles 2 schools
1 work email found @autoleap.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email r****@autoleap.com
LinkedIn Profile matched
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Current company
Role
Data Team Lead @ AutoLeap
Location
Toronto, Ontario, Canada
Company size

Who is Rabeet Shaikh? Overview

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Quick answer

Rabeet Shaikh is listed as Data Team Lead @ AutoLeap at AutoLeap, a company with 14 employees, based in Toronto, Ontario, Canada. AeroLeads shows a work email signal at autoleap.com and a matched LinkedIn profile for Rabeet Shaikh.

Rabeet Shaikh previously worked as Data Team Lead at Autoleap and Senior Data Conversion Specialist at Autoleap. Rabeet Shaikh holds Master Of Science - Ms, Computer Science, Cgpa: 2.96 / 4.00 from Institute Of Business Administration.

Company email context

Email format at AutoLeap

This section adds company-level context without repeating Rabeet Shaikh's masked contact details.

{first}@autoleap.com
89% confidence

AeroLeads found 1 current-domain work email signal for Rabeet Shaikh. Compare company email patterns before reaching out.

Profile bio

About Rabeet Shaikh

An ambitious and motivated person, willing to utilize the knowledge and skills that I have acquired during my academics in a professional capacity. A diligent individual, who would like to prove himself in a dynamic organization through a long-term commitment and dedication. Hold a Masters of Science in Computer Sciences from the Institute of Business Administration Karachi and have demonstrated experience within information technology consulting sector with skills such as Data Analysis, Machine Learning, Data Science and Python/R (Programming Languages).

Listed skills include Leadership, Python, Programming, Data Visualization, and 1 others.

Current workplace

Rabeet Shaikh's current company

Company context helps verify the profile and gives searchers a useful next step.

AutoLeap
Autoleap
Data Team Lead @ AutoLeap
toronto, ontario, canada
Website
Employees
14
AeroLeads page
10 roles

Rabeet Shaikh work experience

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

Data Team Lead

Current

Canada

Feb 2024 - Present

Senior Data Conversion Specialist

Canada

Apr 2023 - Jan 2024

Data Conversion Specialist

Pakistan

Jul 2022 - Mar 2023

Data Analyst

Karāchi, Sindh, Pakistan

Apr 2022 - Jul 2022

Data Analyst

Karāchi, Sindh, Pakistan

Dec 2021 - Mar 2022
Team & coworkers

Colleagues at AutoLeap

Other employees you can reach at autoleap.com. View company contacts for 14 employees →

2 education records

Rabeet Shaikh education

FAQ

Frequently asked questions about Rabeet Shaikh

Quick answers generated from the profile data available on this page.

What company does Rabeet Shaikh work for?

Rabeet Shaikh works for AutoLeap.

What is Rabeet Shaikh's role at AutoLeap?

Rabeet Shaikh is listed as Data Team Lead @ AutoLeap at AutoLeap.

What is Rabeet Shaikh's email address?

AeroLeads has found 1 work email signal at @autoleap.com for Rabeet Shaikh at AutoLeap.

Where is Rabeet Shaikh based?

Rabeet Shaikh is based in Toronto, Ontario, Canada while working with AutoLeap.

What companies has Rabeet Shaikh worked for?

Rabeet Shaikh has worked for Autoleap, Aigenix, Foodpanda, Integration Xperts, and A. F. Ferguson & Co. (A Member Firm Of The Pwc Network).

Who are Rabeet Shaikh's colleagues at AutoLeap?

Rabeet Shaikh's colleagues at AutoLeap include Omer Mirza, Richard Lee, Jordan Milam, Hajaj Khan, and Nicole Penrod.

How can I contact Rabeet Shaikh?

You can use AeroLeads to view verified contact signals for Rabeet Shaikh at AutoLeap, including work email, phone, and LinkedIn data when available.

What schools did Rabeet Shaikh attend?

Rabeet Shaikh holds Master Of Science - Ms, Computer Science, Cgpa: 2.96 / 4.00 from Institute Of Business Administration.

What skills is Rabeet Shaikh known for?

Rabeet Shaikh is listed with skills including Leadership, Python, Programming, Data Visualization, and Data Mining.

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