Quantifying And Preparing the Workforce for an AI-Driven Future

• Conducted technical due diligence on startups to assist in early stage funding decisions.• Sourced potential startups and investors to join the venture university fund.• Collaborated with investment committees to evaluate and select promising startups for funding.. Learning the traits for consumer products funding in AI

Dynamic leader with a passion for harnessing the power of data to drive business growth. As Global Director of Data Science and Partnerships at Walee, a cutting-edge social media monitoring and influencer marketing company, I lead a team of experts in utilizing advanced analytics and machine learning algorithms to provide valuable insights to clients across Pakistan, Saudi Arabia, United Arab Emirates, South America, Central Asia, Lebanon, Egypt, Iraq, and Syria. My expertise in developing strategic partnerships has helped Walee stay ahead of the curve in a rapidly evolving industry, while my ability to build and manage high-performing teams has enabled us to consistently deliver outstanding results. I focus on consumer profiling across geographies, country specific influencers and data monetization. I am always interested to explore, collaborate or purchase the relevant datasets.

Defining the vision & scope for an array of digital marketing products & services. Responsible for media buying across multiple social media platforms (Facebook, Google, TikTok), focused on optimizing ROI. Managed all aspects of analytics segmentation, marketing analytics, scenario planning, marketing budget performance evaluation. Managed a network of influencers works & digital marketing campaigns for social & headless commerce. Heading a team of 11 data scientists & marketing analysts for social media ads & performance for MENA & South Asia region

Defining the vision & scope for an array of digital marketing products & services. Responsible for paid media buying, customers’ segmentation, marketing analytics, scenario planning, marketing budget performance evaluation, influencers’ networks and digital marketing for social & headless commerce.

Looking after Generative AI products and services

Working with search and relevance team to develop and deploy information retrieval models with compound ranking to improve mean average precision for search query results for 15 million online customers.

Consulted and worked on several projects and teams for large scale data science implementations, artificial intelligence and AI ethics, and diverse blockchain applications. Set organization on track to successfully deliver multi-million dollar projects aimed at empowering youth in technology, education, media, and culture. Developed data strategy and data security framework. Defined software and hardware architecture needs; data science workflow; and metrics, such as OKRs, KPIs, and social-ROI; enhanced productivity by implementing the latest tools and applications. Serve as a data science, blockchain technology, and AI SME. Lead Saudi Startup Census, Misk Youth Hub, Saudi Codes and MoKSA projects.

As a Chief Technology Officer, I spearheaded the development of a conversion analytics platform for the company’s flagship product for Salesforce. To this end, I built and directed a 27-member offshore team comprising of VP Product, VP Engineering, directors, country managers, HR and accounting personnel, data scrappers, Python and R developers, data scientists, NLP and machine learning engineers. To strengthen and accelerate overall software development, I led security and technology roadmap creation, software requirements specifications, product development, and enterprise and data architecture strategy. This also involved deploying the technology stack, including natural language processing, text analytics, augmented intelligence, visualization integration, open datasets and predictive analytics on consumer conversion. I went above and beyond expectations by implementing a lean and Agile product development strategy to deliver various iterations and weekly beta versions. This included Agile and SCRUM methodologies application. As a result of these efforts, I successfully delivered the MVP within 3 months and acquired 15 customers, generating multi-millions in revenue.KEY SKILLS: Technology Stack Designing | MVP Development | Software Development Strategy | SDLC Planning & Execution | Product Development Strategy | Lean Six Sigma | Predictive Analytics | Open Datasets | Stanford’s CoreNLP | AWS | Ansible | Dockers | DynamoDB | HP Vertica | Google Big Query | KNTK | IBM Watson | Alchemy APIs | Analytics-as-a-Service

As a Chief Technology Officer, the first challenge I successfully tackled involved developing end-to-end teams, comprising of 67 staff members across 4 countries. Later, I drove the company’s technology roadmap development, strategic decision-making, infrastructure SWOT analysis, and go-to-market strategy. Throughout my tenure, I served leading organizations, including Victoria’s Secret, Mas Holdings, Coldwell Banker, Bank of America, Farmers Insurance, and the UN. My biggest accomplishment here included leading the Agile product development team to build the company’s flagship product, Hourglass (a massive online intelligence gateway) and its various versions for different verticals using open datasets. The product primarily helped industry-leading brands with determining consumer behavior.Additionally, I facilitated the company’s partnership with the UN to counter terrorist attacks on educational institutes worldwide by developing the predictive analytics software. To do so, I collected and assessed 150+ geopolitical indicators to determine the area threat level. The product predicted when and where suicide bombings may take place and expected injury and fatality rates with 91% accuracy.Moreover, I improved the credit ranking of applicants for insurance organizations. To achieve this, I initiated social media scoring to determine social and financial well-being. KEY SKILLS: Prediction Software Development | Software Team Development | Agile | SWOT Analysis | Consumer Preference Analysis | Big Data | Counter-terrorism | Consumer Analytics | Online Youth Radicalization

I've worked on Cost of War Project at the Watson Institute

As a Chief of Research, I facilitated and led several projects across social network analysis, data mining, public safety and security, counter-terrorism, cyber warfare, economic indicators, call data records, and healthcare solutions domains. To do so, I supervised a team of 69 engineers. My key projects here included: - Pakistan Automated Fingerprint Identification System (PAFIS) for the criminal database- Health Management Information Systems (HMIS) to improve healthcare decision-making for 1.7M patients- Terrorism Mitigation, Monitoring, and Management (TM3) system for geo-fencing- Electronic Disease Early Warning System (eDWS) for epidemic modeling- Railway Tracking System (RTS) with embedded HR, inventory, finance, and location-based services- Police Record and Office Automation System (PROMIS) to support police with eFIR; - Ego Clustering to analyze organizational growth and HR patterns- iVerify for human authentication based on typing patterns- iSecurity to enable penetration testing using CoreImpact, Kali Linux, and open source tools- iCrime for predictive analysis of city crimes- mHealth to facilitate mobile health and telemedicine- iForensics to develop a cyber-forensics labKEY SKILLS: Geo-Spatial Data Mining | Systems Development | Application Development | Healthcare Analysis | Crime Analytics | Epidemic Modeling | HR System | Organizational Growth Analysis | Fingerprint Authentication System | Health Management Information Systems | CoreImpact | Kali Linux | Open Source Tools | Telemedicine

I've worked with Geo-Spatial Data Mining (GSDM) group for security hardening of defense installations using Geo-Fencing.

I supervised PhD students in ICT and conducted a workshop on research methods.

As an assistant professor I taught Artificial Intelligence and Software Quality Assurance and Testing to Undergraduate students and established BiSMiL (Bio-Inspired Simulation and Modeling of Intelligent Life) Lab at the institute. I also served on various committees like Open House, Faculty Search, Library, Examination, Placement, Curriculum Review etc. I've also introduced three new courses, biology for computer science, swarm intelligence and personalities in computer science.

As a Data Warehouse Developer, I validated data integrity and streamlined transfer across multiple data warehouse and ETL platforms to facilitate M&A of financial institutions. To do so, I led a team of machine learning engineers.KEY SKILLS: ETL | Data Warehouse | Data Validation | Data Transfer | M&A Support | Machine Learning

I've worked with data mining team for fraud detection from customer's transactions during my summer break.