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About Us

Empowering Digital Growth Through Data & AI Driven Solutions

We are a group of seasoned Data & AI experts on a mission to enable AI Innovation and Advanced Analytics for Startups and SMEs in a cost-effective manner. At Data Doers, we believe that leveraging AI-powered data analytics can enhance a business by enabling informed decisions, improving efficiency, driving customer insights, fostering innovation, and ultimately boosting revenue and competitiveness. Our AI and data services are designed to make sophisticated analytics accessible and impactful for businesses of all sizes.

Why Data Doers

Our founders had been integral parts of hi-tech corporates as well as consulting companies in high visibility positions in US and UK markets for two decades in pharmaceutical, retail, sports, and fintech industries. While working in these industries they have gained insights into business pain points and their resolutions. Using this exposure they have curated the team around them who can understand the business problem, break it down into small phases and convert them into action items to achieve quick wins and establish trust for long term relationship.

Why Data Doers

Our Values

EXCELLENCE

AGILE

COLLABORATION

CUSTOMER CENTRIC

PROFESSIONALISM

Engineering Excellence

Executive Team

Faheem Jabbar

Co-Founder/ VP Professional Services

Faheem is a critical thinker, a problem solver, a leader with 20 years of solid experience in Data Management solutions. He is skilled in providing a wide variety of robust and scalable Business Intelligence, Data Strategy, Data Governance, Data Management, Data Analytics and ML solutions on both onpremises and in-cloud infrastructure. He specialized in architecting and migrating data solutions in AWS cloud. He has served various industries including tech startups, Governments, Digital Media, Sports and Pharmaceutical. Unique combination of technological and leadership skills along with professionalism and ethical values enable him to bring best of talent from his teams resulting in state of the art and reliable solutions with satisfied clients.

Aitezaz Sheikh

Co-Founder/ CTO

Aitezaz has over 20 years of experience of designing and developing systems with varying degree of complexity in financial services and retail. For last 7 years he is working on building data lakes and streaming applications using Lambda and Kappa architectures on both on-premise and cloud infrastructure. He has architected data solutions in both Azure and Google clouds. He has led teams of Data Scientists, Machine Learning Engineers, and Data Engineers for building ML solutions for Fortune 100 clients.

Aitezaz Sheikh

Co-Founder/ CTO

Muhammad Umair

Computer Vision & ML Consultant

Dr. Umair is a solution designer, researcher, and academician with 19 years of local and international experience. Previously, he has worked with a telecom giant and a global startup incubator in mid-to-senior management positions and possesses strong analytic and solution formulation skills in the domains of market analysis, business intelligence, key account management, data analytics, and AI-based solutions. His current area of specialization is image classification and trend forecasting targeting the maritime, renewable energy, and health industries. He has taught at various local and international universities and is an invited speaker on topics related to computer science. With a balanced flavour of industry, research, and academia, he brings a unique skill set to facilitate the process of problem analysis, solution design and development, and key account management for prospective business clients from various industries.

Nadia Rasheed

Generative AI & NLP Consultant

Dr. Nadia Rasheed is an experienced educationalist, researcher, and solution architect specializing in the domains of Data Science, AI/ML, and embodied AI (AI-Robotics). With over 20 years of experience in academia and industry, she has overseen numerous funded projects spanning from data forecasting (predictive modeling) to hardware-based solutions (embedded systems, robotics). Particularly, she possesses insight into problem sets that encompass Operations Research, Data Analysis, AI/ML-based forecasting, and NLP, with a focus on LLM architectures. Due to her inimitable exposure to both computer science and engineering sectors, she can deploy solutions through pure software (AI agents) or hardware (embedded systems, robots) means. Additionally, she possesses strong analytical and management skills for nurturing startups. She has actively participated in various research and academic activities.