Hassaan Rafique

About

I am a Data Science & AI Leader with over 10 years of experience building and deploying cutting-edge AI solutions for top-tier companies like MBC, Upwork, and Vezeeta. I specialize in Generative AI, AI Strategy, NLP, Predictive Analytics, and scalable AI architecture design. At MBC, I spearheaded AI-driven projects improving viewer reach by 10% through advanced ad optimization and predictive analytics. My time at Upwork involved enhancing NLP-based search systems using LLMs, boosting conversion rates by 7% and generating $13M in additional revenue. As a Lead Data Scientist at Vezeeta, I deployed customer-centric ranking models that increased conversion rates by 8% and implemented time-series models for inventory optimization.

Experience

• Data Science & AI Manager · MBC GROUP2021-07-01 –

  • Lead Implement and deploy ad optimizer using linear optimization, genre classification and prediction for ads placement on linear tv which led to an improvement in reach by 10%. • Owned and Implement and test various time-series models for forecasting of impressions for different ads on shahid platform. • Lead and Implement probability viewership behavior for linear tv of different users which led the business to better understand the demographics of users for different channels and plan accordingly. • Lead the data science architecture initiative on AWS for MBC. • Manage juniors and deliver data driven use-cases.

• Senior Machine Learning Engineer Consultant · Upwork2022-07-01 – 2024-09-01

  • Lead and Enhance the Upwork search engine by implementing and deploying models using fastText, BERT and Large Language Models within a large language model framework. This project focused on improving the mapping of queries to skills and aligning freelancers with relevant skills for the Upwork homepage. These enhancements led to a 7% increase in conversion rates and contributed to a revenue increase of $13 million for Upwork. • Work on synthetic labeling using LLM for offline evaluation of different NLP based models. And rag use cases. • Owned and created an offline evaluation in house library for evaluating different machine learning models before going into Production into A/B test. Increasing the success rate of machine learning models by 20%.

• Lead Data Scientist · Vezeeta.com2019-11-01 – 2021-01-01

  • Owned and enhanced Vezeeta’s search engine by designing, deploying, and A/B testing multiple Learning-to-Rank (LTR) models, optimizing doctor ranking based on historical user behavior, and driving an 8% increase in conversion rate. • Implement attribution models for paid and unpaid channels which led to a decrease in ads spend cost by 10%. • Lead and Implemented and deployed Arima time series forecasting models for forecasting medicine consumption which led the epharmacy team pre plan accordingly and optimize their stocks. • Led a team of data-engineers, engineers to implement and deploy auto-suggest search capability for Vezeeta search engine on elastic-search. • Lead and Developed DSL queries for elastic search for auto-suggest. • Delivered and Developed SLTR queries for Learning to Rank in ElasticSearch. • Lead the Data-Science architecture for Vezeeta.

• Senior Data Scientist · Davidson consulting2017-08-01 – 2019-11-01

  • Lead and Implemented and deployed Arima models for spare parts consumption of public transport which led to an improvement of cost optimization of around 4%. • Owned and Built a sentiment analysis dashboard which led to a better understanding and resolution of customer complaints in a targeted manner. • Delivered and Implemented and deployed a facial recognition system for employees during meetings which led to the automation of employees attendance in meetings.

• Data Analyst/Data Scientist · du2014-08-01 – 2017-08-01

  • Identified Hot-Spot areas in Dubai for Data Traffic generation by simulating hourly AMR on google earth. • Analysing and Reporting of traffic data using Frequency Tables, Histograms Charts, Scatter Plots. • Analyse coverage for 3G in newly constructed areas for planning new sites. • Forecast monthly traffic for different events for network planning. • Data extraction, cleaning, and organizing.

Education

• Georgia Institute of TechnologyMaster's degree, Computer Science
• Ghulam Ishak Khan Institute Of Engineering SciencesBachelor Of Science, Computer
• Beacon House DefenceHigh School, Pre-Engineering
• Defence Public SchoolHigh School, Pre-Engineering

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