Muhammad Abrar Khalid

Angestellt, Data Scientist, i2c Inc

Islamabad, Pakistan

Über mich

I am a seasoned data professional with experience as a Data Scientist and Data Analyst. I have expertise in Machine Learning, Natural Language Processing, Deep Learning, and Business Intelligence tools. I have a strong analytical mindset and track record of delivering insightful and impactful solutions to real-world business problems. My technical skills include Python, Scala, SQL, and various BI tools like Power BI, Tableau, and more. I am a collaborative team player and always looking to leverage my skills and knowledge to drive positive change and deliver value to stakeholders.

Fähigkeiten und Kenntnisse

Machine Learning
Python
Business Intelligence
SQL
Data Science
Big Data
Artificial intelligence
TensorFlow
Deep learning
Natural Language Processing
FinTech
Data Analysis
Softwareentwicklung
Technologie
Anwendung

Werdegang

Berufserfahrung von Muhammad Abrar Khalid

  • Bis heute 3 Jahre und 4 Monate, seit Juni 2021

    Data Scientist

    i2c Inc

    As a Fintech Data Scientist, I have expertise in data technologies like Python, Deep Learning, SQL, and Scala. My work helped clients by generating reports to analyze customer transactions, identifying key features for an AI fraud prevention model, and reducing fraud losses by $150,000. I also improved Deep Learning efficiency by 60X through distributed GPU computing with Horovod and developed a customized fraud prevention model.

  • 11 Monate, Juli 2020 - Mai 2021

    Machine Learning Engineer

    Sigma Square

    I developed a semantic search application using NLP techniques, aimed at reducing assessment time for lawyers in the insurance industry. I extracted KPIs using NER and employed LSH to find similar accidents. The project utilized Python, PyTorch, TensorFlow, FastAPI, HuggingFace, and Docker.

  • 1 Jahr, Aug. 2019 - Juli 2020

    Research Assistant

    Knowledge Discovery and Data Science

    Project Goal: Identify problem statement from the literature in the field of graph mining. Solution: Proposed a methodology to reduce the reconstruction error from a summarized graph, We proposed a pattern based corrections methodology to maintain the only important corrections. Result: We were able to achieve less reconstruction error(false positive edges) rate from a summarized graph with the help of pattern based corrections. Tools: Python, MATLAB, NetworkX, iGraph, Pandas, Numpy.

  • 1 Jahr und 4 Monate, Juni 2017 - Sep. 2018

    Business Intelligence Consultant

    Hive Worx

    As a BI Consultant, I designed complete BI semantic layers, developed SQL procedures, and met deadlines while achieving client expectations. I worked with multiple BI tools like Tableau, Power BI, and MicroStrategy to improve business performance.

  • 6 Monate, Sep. 2015 - Feb. 2016

    ERP Developer

    MicroMerger

    Worked on the development, support, maintenance and implementation of a complex project module. Performed technical scoping studies, requirement gathering and suggesting technical solutions. Worked under pressure and able to perform demo, project documentation and implementation.

  • 2014 - 2014

    Trainee

    Microsoft Corp.

    Build apps and demos. Demonstrate the newest technologies and host tech events on our campus. Acquire the tools and training to lead technology discussion on our campus. Build apps

Sprachen

  • Englisch

    Fließend

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