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Hi, I'm Dhyan — Data Scientist · Aspiring Quant

I build Analytical and ML models . Proficient in

Python

 and

C++

. Diving deep into DSA and Data science—Exploring data structures and algorithms to build a strong computational foundation, with hands-on experience in data science workflows and a growing focus toward AI-ML and Fintech.

Featured

Experience

Private quant

Private quant

Research intern

November 2025 - December 2025

India (Remote)

Technologies

Python

jupyter

numpy

pandas

matplotlib

• Assisted in the development of quantitative models and trading strategies for financial markets, contributing from research through live validation.

• Conducted systematic data analysis and backtesting to evaluate strategy performance, risk-adjusted returns, and edge robustness across market regimes.

• Developed and backtested trading strategies using Python, Pandas, and NumPy, working across equity, FX, and derivative instruments.

• Achieved a 98% performance gain in backtesting speed through vectorization — cutting runtime from 25 minutes to under 10 seconds, enabling rapid iteration across strategy variants.

Featured

Projects

telecom-dataset-knn-classification.tsx
1import React from 'react';
2import { Python, NumPy } from './tech';
3
4export default function TelecomdatasetKNN-classification() {
5return (
6<div className="app">
7<h1>Telecom dataset KNN-classification</h1>
8// Built with Python
9</div>
10);
11}

Telecom dataset KNN-classification

KNN classification model for telecom dataset. Built with Python and scikit-learn.

Technologies

All Systems Operational
View Details
iran-macro-economic-indicators-analysis.tsx
1import React from 'react';
2import { Python, Jupyter } from './tech';
3
4export default function Iranmacro-economicindicatorsanalysis() {
5return (
6<div className="app">
7<h1>Iran macro-economic indicators analysis</h1>
8// Built with Python
9</div>
10);
11}

Iran macro-economic indicators analysis

A data-driven macroeconomic deep dive into Irans economy using 60+ years of annual indicators. Covers GDP cycles, inflation, currency devaluation, trade behaviour, and population trends through 12 analytical sections with time series plots, rolling averages, and Z-score anomaly detection.

Technologies

All Systems Operational
View Details

About

Me

About

Dhyan Dave

I'm a Data Scientist and aspiring Quant Developer passionate about building intelligent systems at the intersection of machine learning and quantitative finance. I specialize in developing predictive models, statistical analysis, and data visualization. Currently mastering data structures, algorithms, and machine learning techniques to solve complex business problems.

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GitHub Activity

Dhyandave28's coding journey over the past year

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Journey

Journey

My Journey

Python → Data Science → Still going strong...

Certificates & Achievements

A curated list of certificates and achievements.

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