Experience

Lean Technologies

• Saudi Arabia
• Software Development
• 1 - 100 Employee

• Engineering Manager (Data Science)

  • Jun 2022 - Present



Finvault

• Estonia
• Financial Services
• 1 - 100 Employee

• Head of Engineering & Data

  • Nov 2021 - Jun 2022

  Currently: - Leading the development, DevOps, and data engineering for the entirety of the platform's backend - Exploring exciting and meaningful ways to enhance Finvault's offering using data science, post-launch Currently: - Leading the development, DevOps, and data engineering for the entirety of the platform's backend - Exploring exciting and meaningful ways to enhance Finvault's offering using data science, post-launch



Careem

• United Arab Emirates
• Software Development
• 700 & Above Employee

• Senior Data Scientist

  • Mar 2020 - Nov 2021

  Senior Data Scientist within the Fraud & Risk team. Senior Data Scientist within the Fraud & Risk team.



Artefact

• France
• Business Consulting and Services
• 700 & Above Employee

• Senior Data Scientist

  • Aug 2019 - Feb 2020

  Forecasting Tourist Visits to Dubai: - Collected multivariate data (such as FX rates, public holidays, airline capacities) which showed many correlations to the number of visitors to Dubai from several countries. - Built time series forecasting models to accurately predict the monthly visitors per country for the next 12 months. - Used a combination of SARIMAX, Facebook Prophet, XGBoost, and LSTM RNNs. Online Journey Attribution Modelling: - Analysis of the journeys that users took on the web when exposed to marketing campaigns. - We built attribution models to determine which campaigns were most effective at converting a user’s online browsing journey into a tourist visit to Dubai. Sales Incentive Program & Sales Forecasting: - Collecting, storing and processing vast amounts of data and KPIs pertaining to a large telecom company’s B2B customer-base, as well as sales attributes of individual salespeople - Building a complex sales incentive engine and forecasting models for future sales targets. Show less



Synechron

• United States
• Financial Services
• 700 & Above Employee

• Data Scientist

  • Jun 2018 - Aug 2019

  Data Science Accelerators: - Random Forest to determine which complaints filed to a bank are most probable to be escalated. - Industry-leading accuracy using XGBoost and Deep Learning to determine which loans are most likely to go into default. - Visual Research, which I led, uses AI to assist financial analysts. Built a custom data retrieval API and ingestion engine to build extensive datasets using both data internal to the financial markets, as well as alternative sources. These include companies’ fundamental figures, data metrics extracted through NLP techniques on their SEC filings, and macroeconomic data. The datasets are then fed through a stacked ensemble of LSTMs to forecast the performance of a given company’s stock price in the coming quarter. - A wealth management tool that leverages the predictions made by Visual Research, allowing wealth managers to provide valuable insights and intelligent recommendations to their clients. LIBOR Transition - LIBOR is the referenced floating rate used in an immense number of financial contracts (interest rate swaps, loans, mortgages, etc.), but it will be phased out in 2021. - Built a Data Science driven solution for contracts to be benchmarked against alternative rates, with historical and forecasted comparisons in a dashboard. - OCR is used to read documents, and we use NLP techniques to then extract all the relevant values from both structured and unstructured contracts. - A combinations of Named Entity Recognition, dependency parsing, and vector embeddings produced our best solution. Social AI: - NLP and Recommendation System project for a large bank. - Through profiling of the bank’s customers, a collection of advanced, in-house trained chatbots, and recommendation engines, we are creating an extremely personalized banking experience. - This experience would provide recommendations based on where the customer currently is, what their interests are, where they are travelling to, what they have scheduled, etc. Show less



Accenture

• Ireland
• Business Consulting and Services
• 700 & Above Employee

• AI Software Engineer

  • May 2017 - Aug 2017

  I worked on two projects during my internship with Accenture: 1. Carrying out Deep Learning research within the internal Tech Labs team in The Dock through the use of LSTM Recurrent Neural Networks. 2. Member of the Data Analytics team on a client-site project where we were managing the composition of two large database systems required in the merging of two multinational Pharmaceutical companies. We followed an agile workflow implementing mocks and sprints in preparation for going into production. Show less



Paddy Power

• Ireland
• Entertainment Providers
• 700 & Above Employee

• Trader

  • Aug 2016 - May 2017

  I worked part-time alongside my studies in the Risk & Trading team as a Trader on live football games. My role as a Trader consisted mainly of the following: • Recognising and trading against arbitrage betting • Adjusting prices of markets where I deem necessary in order to maintain expected profit margins • Monitoring customers’ betting habits and either restricting/boosting their betting allowances • Reviewing related statistics linked to new, as well as restricted customers, in order to predict their future betting strategies • Calculating market overrounds and hence sufficient expected profit margins Show less