Fahd Baig

ESynergy is a technology consultancy that is laser focussed on providing measurable business value to its clients. Mainly working within highly regulated industries, with organisations of all sizes from large enterprises to scale-ups, building scalable platforms, products, and services. I focus on bringing AI, Data Science and Machine Learning expertise to our clients and taking them on a journey to realise significant value from data.

QoqoFactory.ai is a consultancy focussed on solving business and customer issues using bleeding-edge AI advancements such as LLMs. Currently developing Customer Services, Marketing & Campaigns and Knowledgebase semantic search services for businesses. Also developing Prompt Design and Engineering guidance and, using Open LLMs so businesses can control the data being used by the models adding a governance layer over them. Please get in touch if you would like to add value to your business using AI.

As a Lead Data Scientist I'm responsible for using customer data to develop models that bring customers' perspective into company's decision making. I lead the Advanced Analytics team and follow the 'Full Stack' ML approach from managing stakeholders, EDA and, developing ML models to deploying/productionising models and, monitoring and feedback. I'm also involved with Data Strategy and selling the 'Art of the Possible with ML' to the leadership. The team focuses on Operations Optimisation, Digital and NLP

As Head of Data Science, I'm responsible for establishing a culture of data-driven decision making within Money Dashboard. This entails developing processes and insights that help different teams (Data, Tech, Product, Support & Senior Management) access, utilise and benefit from insights within data. I am also involved in client and key internal stakeholder communication reporting on progress, information and potential bottlenecks to developing key production grade Data Science & Machine Learning products.

Studied: Machine Learning and Data Mining -Classification systems: SVM, NN, Random Forests, Bayesian Classifiers, HMMs -Regression based systems for forecasting and predictive analytics: Linear, Logistic, SVM and Neural Network based regression -Clustering: K-means, Agglomerative clustering -Deep Learning algorithms: Convolutional Neural Nets for computer vision and speech recognition application Big Data Technologies -Lambda Architecture, Data pipeline: Hadoop, Spark, Couchbase, Hive, and, Pig and Erlang

G2G3 is an innovative technology company that develops simulations, serious games and gamification products for IT enterprises to enable engagement and drive positive behaviour within staff, partners or clients.

Consulted to build large 3D lattice models. I provided programming expertise to develop an efficient, highly parallelised code for multiprocessor clusters using C++ and OpemMP.

I consulted with young companies to take their novel technologies to market. This may involve helping them identify potential markets, conduct market research. product development, planning market entry and selling to first customers. I also assist businesses at new business development, preparing business plans and investor pitches, and raising investment. I have worked with a number of clients across various sectors such as web, retail, professional services, energy/renewables and life-sciences.

I undertook a highly prestigious and competitive Saltire Fellowship at Babson College. This is a fully-sponsored, accelerated experiential MBA style programme that aims to enhance entrepreneurial leadership skills. The fellowship combines intense academic studies at Babson College with professional experience at international Blue-Chip companies and Scottish Hi-Tech start-ups. Focus is on Business Development, Marketing, Sales, Raising Investment Finance, Leadership, Culture and Strategy.

Founded the company around a very innovative software product that identified languages and accents from a short clip of human speech. The product was aimed at making other IT systems multilingual including call centres, police/emergency centres, telecom and other IVR systems. Led company to secure funding in excess of £0.5 million over a series of funding rounds from leading Scottish investment groups and government grants. Responsible for project management and all technological and R&D related issues.

Led innovative award winning research projects and teams in Urdu language speech recognition, speaker recognition and language identification, within the speech processing group. Co-authored and published several academic papers in renowned journals.

MSc Data Engineering (Big Data, Machine Learning, Business Intelligence) Awarded the prestigious Scottish Funding Council (SFC) and Data Lab Scotland funding

Accelerated Experiential MBA style programme focussing on developing entrepreneurial leadership, global sales, marketing and financial skills.

Completed postgraduate studies at internationally acclaimed Centre for Speech Technology Research.

Awarded First-class Honours. Have successfully represented and led University teams in prestigious Pakistani national-level software competitions. Regularly published and presented papers in renowned academic conferences.