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Hi there, I'm Altamash

Welcome! I’m Altamash, a data scientist at 2nd Order Solutions 😄 I use cutting edge machine learning and analytics to deliver impactful credit risk and lending solutions for leading financial institutions, banks, and fintechs.

Originally from Pakistan, I came to the US to pursue both my Bachelor’s and Master’s degrees at Duke University. At Duke, I fell in love with statistical modeling and machine learning when I saw firsthand their potential for bringing transformational change in our world. Over the years, I have had many amazing opportunities to learn and grow as a data scientist through projects in cybersecurity, fraud detection, infectious disease research, and more.

For an in depth view into my work, check out my repositories. I love to share ideas and connect with professionals in all fields so feel free to email me if you ever want to chat!

Major Projects

OpenWorldLogoDetection

Altamash Rafiq's Projects

bioview icon bioview

Miscellaneous scripts for quick microbiome data analysis.

dockerdeploy icon dockerdeploy

This is a simple Python Flask application containerized using Docker and published on Docker Hub.

faangsentiment icon faangsentiment

Serverless sentiment analysis on wikipedia pages of FAANG companies using AWS Lambda and AWS Comprehend via AWS Simple Queue Service (SQS).

flaskgcp icon flaskgcp

Simple Flask application deployed with continuous integration and delivery via Google Cloud Platform.

hi icon hi

Personal website to introduce all of my projects and experiences.

ids705 icon ids705

Principles of Machine Learning (Spring 2020). Masters of Interdisciplinary Data Science. Duke University

latentdirichletallocation icon latentdirichletallocation

From scratch implementation of Latent Dirichlet Allocation using Collapsed Gibbs Sampling. Sampler acceleration is done using C++, Cython, and Numba. Our implementation is packaged and deployed on TestPyPi.

openworldlogodetection icon openworldlogodetection

Software toolkit to train and test models for open world brand logo detection and classification. Developed using the amazing object detection packages at ultralytics/yolov3 and detectron2.

pslmcerp icon pslmcerp

PSLM Dashboard by Centre for Economic Research in Pakistan

sparkkmeans icon sparkkmeans

Demonstrating the use of the K-Means algorithm for data clustering via Apache Spark on Amazon Web Services (AWS) SageMaker.

tracking icon tracking

CS 188 (Introduction to Artificial Intelligence): Project 4: Tracking

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