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Aamer Charania Email & Phone Number

Head of Applied AI at Best Buy
Location: Dallas-Fort Worth Metroplex, United States, United States 11 work roles 3 schools
1 work email found @capitalone.com 4 phones found area 972, 214, 502, and 800 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email a****@capitalone.com
Direct phone (972) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Head of Applied AI
Location
Dallas-Fort Worth Metroplex, United States, United States
Company size

Who is Aamer Charania? Overview

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Quick answer

Aamer Charania is listed as Head of Applied AI at Best Buy, a company with 71490 employees, based in Dallas-Fort Worth Metroplex, United States, United States. AeroLeads shows a work email signal at capitalone.com, phone signal with area code 972, 214, 502, 800, and a matched LinkedIn profile for Aamer Charania.

Aamer Charania previously worked as Global Head of Applied Machine Learning at Best Buy and President & Founder at Dallas Ai. Aamer Charania holds Master Of Science (Ms), Engineering from Massachusetts Institute Of Technology.

Company email context

Email format at Best Buy

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{first}.{last}@capitalone.com
86% confidence

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

Profile bio

About Aamer Charania

Creative leader with consistent success driving vision, strategy and development of AI and machine learning solutions in diverse industry domains including Retail, Financial Services, Healthcare, Technology, Telecom, and Airlines. Passion for delivering technical solutions that generate the most business value. Leads cross-functionally, effectively bridging the gap between technology and business, while stimulating collaboration and creativity. Builds and empowers high performance teams, attracting and developing top talent. Awarded over ten patents. Research and graduate education at MIT. Featured speaker at leading AI events. Speaker bio: https://dallas-ai.org/aamer

Listed skills include Agile Methodologies, Software Development, Cloud Computing, Program Management, and 18 others.

Current workplace

Aamer Charania's current company

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

Best Buy
Best Buy
Head of Applied AI
Texas, United States
Website
Employees
71490
AeroLeads page
11 roles · 30 years

Aamer Charania work experience

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

Head Of Applied Ai

Texas, United States

Global Head Of Applied Machine Learning

Current

Richfield, Minnesota, US

Leading Best Buy’s Applied Machine Learning org, a Center of Excellence providing AI/ML products and services throughout the enterprise.Being the world’s largest consumer electronics retailer, addressing key human needs across variety of areas including entertainment, productivity, communications, security, nutrition and healthcare, Best Buy has some of.

2022 - Present ~4 yrs 5 mos

President & Founder

Current

Flower Mound, TX, US

With a strong community of over 6,000 members, Dallas AI is the largest 501(c)(3), nonprofit AI forum in North Texas, accelerating learning and adoption of AI. Our diverse community includes senior corporate leaders to fresh graduates and all levels of professionals in between, sharing one passion - AI! The forum has hosted many educational talks and.

2017 - Present ~9 yrs 5 mos

Board Member

Current

Dallas, Texas, US

Serving as think tank discussing industry challenges and opportunities related to AI and Machine Learning

2018 - Present ~8 yrs 5 mos

Governing Body Co-Chair - Dallas Chief Data & Analytics Officer (Cdao) Community

Current

Portland, Oregon, US

Learning together with like minded CDAOs and CDOs in the Dallas community

2023 - Present ~3 yrs 5 mos

Governing Body Member - Dallas Chief Data & Analytics Officer Community

Portland, Oregon, US

Learning together with like minded CDAOs and CDOs in the Dallas community

2018 - 2023 ~5 yrs

Director, Machine Learning

Mclean, VA, US

Regional head of Capital One Center for Machine Learning, leading vision, strategy and development of AI solutions for enterprise platforms and signature consumer products. Heading development of enterprise services in Deep Learning, Graph, Time Series Forecasting and Explainable AI, implemented as containerized microservices over cloud. Delivered data.

2018 - 2022 ~4 yrs

Director, Big Data & Machine Learning

Louisville, Kentucky, US

Led design and development of state of the art big data and machine learning platform, empowering enterprise customer analytics, marketing and operations, and creating over $50M in value. Managed implementation and growth of enterprise Data Lake with wide variety of structured and unstructured data sources, including healthcare records, financial.

2014 - 2018 ~4 yrs

Distinguished Mts (Technical Manager)

Basking Ridge, NJ, US

Led analytics and software engineering teams for video streaming products, including those for Redbox Instant by Verizon, a joint venture launched by Verizon and Redbox to compete with Netflix. Drove technology strategy for the joint venture CTO. Spearheaded design and development of big data platform to collect, process and analyze data from various.

2012 - 2014 ~2 yrs

Software Engineer (Se), Senior Se & Senior Mts (Principal)

Basking Ridge, NJ, US

Managed solution architecture and implementation of various analytics and data engineering solutions including product recommendation engines, enterprise data lakes, data visualization, distributed computing, and statistical modeling. Researched cloud providers including AWS and Azure

1998 - 2012 ~14 yrs

Research Assistant

Cambridge, MA, US

Studied and implemented core fundamentals behind machine learning and data processing frameworks with focus on travel industry use cases. Developed software to evaluate various analytical algorithms for dynamic pricing. Reprogrammed a pricing simulation engine, achieving over 200% improvement in processing times.

1996 - 1998 ~2 yrs
Team & coworkers

Colleagues at Best Buy

Other employees you can reach at bestbuy.com. View company contacts for 71490 employees →

3 education records

Aamer Charania education

Master Of Science (Ms), Engineering

Massachusetts Institute Of Technology

Master Of Science (Ms), Computer Science

University Of Illinois Urbana-Champaign

Mba, Finance & Information Technology

Smu Cox School Of Business
FAQ

Frequently asked questions about Aamer Charania

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

What company does Aamer Charania work for?

Aamer Charania works for Best Buy.

What is Aamer Charania's role at Best Buy?

Aamer Charania is listed as Head of Applied AI at Best Buy.

What is Aamer Charania's email address?

AeroLeads has found 1 work email signal at @capitalone.com for Aamer Charania at Best Buy.

What is Aamer Charania's phone number?

AeroLeads has found 4 phone signal(s) with area code 972, 214, 502, 800 for Aamer Charania at Best Buy.

Where is Aamer Charania based?

Aamer Charania is based in Dallas-Fort Worth Metroplex, United States, United States while working with Best Buy.

What companies has Aamer Charania worked for?

Aamer Charania has worked for Best Buy, Dallas Ai, Smu Big Data Advisory, Evanta, A Gartner Company, and Capital One.

Who are Aamer Charania's colleagues at Best Buy?

Aamer Charania's colleagues at Best Buy include Khadar Mumin, Richard Lopez-Diaz, Mayank Tripathi, Jeffrey Ream, and Joshua Mata.

How can I contact Aamer Charania?

You can use AeroLeads to view verified contact signals for Aamer Charania at Best Buy, including work email, phone, and LinkedIn data when available.

What schools did Aamer Charania attend?

Aamer Charania holds Master Of Science (Ms), Engineering from Massachusetts Institute Of Technology.

What skills is Aamer Charania known for?

Aamer Charania is listed with skills including Agile Methodologies, Software Development, Cloud Computing, Program Management, Business Intelligence, Big Data, Java, and Databases.

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