New Yorke Story

Improving L Train Service - in collaboration with Keri Mallari and Robert Hintze

Using Data Science and Machine Learning techniques to know the Neighbourhoods of Manhattan City whose location is retrieved using FourSquare API.

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.

A program that reduces the number of Manhattan roads in New Jork City while optimizing various characteristics.

Compute the city block (Manhattan) distance between two double-precision floating-point strided arrays.

New York Series

Housing

The data for two editions of the Wilson New York City Business Directories, 1852-1853, and 1861-1862.

Unity Project for the mod

🔢 N-Puzzle solver built up on A* (with modifications), Greedy and Uniform Cost search algorithms. Available Heuristics are one of Manhattan, Hamming and Euclidean

This comprehensive analysis shed light on the trends, patterns, and key insights related to family and domestic violence incidents in New York City from 2017 to 2020. The analysis not only underscores the areas of progress but also identifies regions that may require focused attention and additional resources.

New York Series Finale

A Unimodal Neural Network-Based Person Authentication System Based on the Sound of the Signing

Manhattan -- Traffic Congestion Zone -- Animated Map and Charts-- BranchAnalysis -- Python -- Public Data

Simple Recommendation engine which uses Manhattan, Euclidean, Minkowski distances and for Unit Tests Jasmine is used.

Scripts I'm using to build a 3D map from George and Walter Bromley survey data of early 1900s Manhattan. This is an experiment in using Claude Code to build data management/transformation tooling and UIs on-the-fly

Dumbo

Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.

Handy functions in R for the analysis of GWAS and related 'omics data.