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Bio: Maths & Computing | Data Scientist | Quant Strategist | Blockchain Research | Investment Analysis (VC/Startups)
Type: User
Bio: Maths & Computing | Data Scientist | Quant Strategist | Blockchain Research | Investment Analysis (VC/Startups)
NITI Aayog: Background NITI Aayog (National Institution for Transforming India) is a policy think tank of the Government of India; it provides strategic inputs to the central and the state governments to achieve various development goals. In the past, NITI Aayog has played an important role in initiatives such as Digital India, Atal Innovation Mission and various agricultural reforms and have designed various policies in education, skill development, water management, healthcare, etc. NITI Aayog was established to replace the Planning Commission of India, which used to follow a top-down model for policy making, i.e., it typically designed policies at the central level (such as the 5-year plans)
Sharing Updatable Models (SUM) on Blockchain
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf
A comprehensive framework for conducting A/B tests on content, users, and websites, enabling effective experiment design, implementation, and analysis.
Statistical Modelling and Analysis using Machine Learning Algorithms
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Mostly experiments based on "Advances in financial machine learning" book
Introducing pipelining, Feature engineering and polynomial regression in python on US electricity consumption dataset. Regularisation parameter implementation (Ridge + Lasso)
Bitcoin / Crypto AI Trading Bot
stablecoin
Codes related to activities on AV including articles, hackathons and discussions.
Data analysis of angel.co companies
Apache Sqoop Cookbook
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
A collection of awesome things regarding the Climate tech ecosystem.
An awesome curated list of Cryptoeconomic research and learning materials
A curated collection of links for economists
A curated list of awesome Machine Learning frameworks, libraries and software.
Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.
A curated list of awesome Python frameworks, libraries, software and resources
The purpose of this case study is to use machine learning to maximize revenue from marketing campaigns in the banking sector.
This repository provides a friendly way of computing the Bayesian P-value Prediction Interval for future P-values given an observed P-value according to the article, "Assessment of P-value variability in the current replicability crisis" (https://arxiv.org/abs/1609.01664; Authors: Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri V. Zaykin).
Code for BCG Gamma technical challenge
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.