Areeb Akhtar

Experience

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  KPMG Australia

  Jun 2020 - Jul 2020

  Data Analytics

  Responsible for data cleaning, data manipulation, data modelling and data visualization of Bike Company’s data for building up a business strategy.

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  The Sparks Foundation

  Nov 2020 - Dec 2020

  Data Science and Business Analytics
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  CRMNEXT

  Jan 2021 - Aug 2022

  Data Scientist

  • Development and optimization of AI powered product (DATANext) for BFSI sector.• Interact with Business Analysts for research purposes, gather and process the data to provide a technical solution to the business requirements of the Banking and Finance domain.• Address business problems, set priorities, and drive the design, development, and deployment of AI/ML products and services to deliver business results.• Skills: MS SQL Server, Python, dashboard development on- CRM (Business Analytics) Product. Show less

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  Pelican.ai

  Aug 2022 - Mar 2024

  Machine Learning Engineer- Research and Development

  • ML Engineer in R&D team for Pelican's Financial Crime Compliance Product suite (Sanctions screening, Transaction Monitoring, Money Laundering and Payments Fraud Checks) with primary goal of optimizing the models in order to reduce the False Positive. Responsible for Data gathering, Data analysis and model development. Development of APIs using python and MySQL, Prediction Engine/ Black box development using Python and Rapid Miner.• Work primarily revolves around developing APIs and algorithms for prediction engines, Intelligent name matching, and Text extraction. Additionally, I have been involved in developing data integration processes and text similarity analysis using txtAI and fuzzy matching (fuzzywuzzy, jaro, Levenshtein distance) techniques.• Skills: Python Programming (API, framework Development, OOPs), Machine Learning, Data Analysis and Feature Engineering, SQL, Natural Language Processing, Rapid Miner. Show less

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  Deloitte

  Mar 2024 - now

  Consultant - AI & Data

  ● Developed and implemented Generative AI and Retrieval-Augmented Generation (RAG) based chat applications, integrating various data sources (unstructured and structured) to deliver user-centric solutions. ● Led extensive experimentation with different Large Language Models, optimizing the application across diverse use cases through advanced prompt engineering, embedding techniques in vector databases and various retrieval methods. ● Engineered and deployed the end-to-end Generative AI chat application built using LangChain framework, ensuring seamless integration and operational efficiency. Show less