Name: Usama Akram
Type: User
Company: [email protected]
Bio: Data Engineer | Research Assistant | Ex. Software Egnineer | Python | R | Laravel | Node.js
Twitter: usama_akram_tw
Location: Colchester, United Kingdom
Blog: https://www.linkedin.com/in/itsusamaakram/
Usama Akram's Projects
An awesome README template to jumpstart your projects!
Electron app which clears cookies,history and removes extensions from browsers. Supported browsers are: - Chrome -Firefox - Safari
The Center for Policing Equity (CPE) is research scientists, race and equity experts, data virtuosos, and community trainers working together to build more fair and just systems. Data and science are our tools; law enforcement and communities are our partners. Our aim is to bridge the divide created by communication problems, suffering and generational mistrust, and forge a path towards public safety, community trust, and racial equity. Police departments across the United States have joined our National Justice Database, the first and largest collection of standardized police behavioral data. In exchange for unprecedented access to their records (such as use of force incidents, vehicle stops, pedestrian stops, calls for service, and crime data), our scientists use advanced analytics to diagnose disparities in policing, shed light on police behavior, and provide actionable recommendations. Our highly-detailed custom reports help police departments improve public safety, restore trust, and do their work in a way that aligns with their own values.
This system deals with the users (product-owner and developers) who can work together remotely.
Grouping similar wines together using some extended version of K-Mean-Clustering from specified research studies.
Finding target for the Lander using Deep Learning but from scratch not already built-in libraries.
Predicting Price by building optimized model using machine learning and deep neural networks. For building a financial industrial software, I will be predicting the Bitcoin price where we have more than 9000+ rows and 12 columns for making data-driven models. According to the source this dataset is from CoinMarketCap Data From August 4 to November 4, 2017. Before proceeding further I will be better first pre-processing the data and preparing it for further models fittings. Got dataset for bitcoin from this source: https://www.kaggle.com/datasets/paulrohan2020/crypto-data
Commission management system for controlling sales of an insurance company.