Aamer Charania Email & Phone Number

Texas, United States

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 the most exciting AI products and use cases to build upon – truly enriching the lives of our customers whether they meet us online, visit us in person, or invite us into their homes! Join us if you love envisioning and developing cutting edge AI products!

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 workshops, partnering with top companies and academia at the forefront of AI research, including MIT, Google, Microsoft, IBM, Capital One, University of Texas, Southern Methodist University and more. Interested in AI? Check us out at: https://www.dallas-ai.org

Dallas, Texas, Us

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

Portland, Oregon, Us

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

Portland, Oregon, Us

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

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 science solutions powering two of Capital One’s signature consumer products - Auto Navigator and Auto Refi, leveraging advanced machine learning techniques including computer vision, reinforcement learning and natural language processing.

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 transactions, claims, demographics, call center notes, web activity, sales, and purchasing trends. Implemented neural networks based predictive models, forecasting mail order pharmacy prospects, with 40% improvement in accuracy compared to traditional methods in place.

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 sources, including multiple consumer devices (mobile phones, PCs, tablets, set-top boxes & smart TVs), enterprise billing and ordering systems, web servers, and third-party data providers.

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

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.

Master Of Science (Ms), Engineering

Master Of Science (Ms), Computer Science

Mba, Finance & Information Technology