ARNAV

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Initializing portfolio systems...
π
λ
σ
∂L/∂θ = 0
P(A|B) = P(B|A)P(A)/P(B)
∇f(x) = 0
E[X] = ∑xP(x)
σ² = E[(X-μ)²]
log(p/(1-p)) = β₀ + β₁x
y = σ(Wx + b)
∂C/∂w = δₗaₗ₋₁
h_t = tanh(W_h·h_{t-1} + W_x·x_t)
α = softmax(e^{z_i}/Σe^{z_j})
θ_{t+1} = θ_t - α∇J(θ)
∫_{-∞}^{∞} e^{-x²/2} dx = √(2π)
lim_{n→∞} (1 + 1/n)ⁿ = e
∂²f/∂x² > 0 ⟹ convex
Ax = λx
A = UΣVᵀ
det(A) = Σ(-1)^{i+j}a_{ij}M_{ij}
||x||₂ = √(x₁² + x₂² + ... + xₙ²)
H(X) = -Σp(x)log₂p(x)
I(X;Y) = H(X) - H(X|Y)
KL(P||Q) = Σp(x)log(p(x)/q(x))
R_t = μ + σε_t
ARIMA(p,d,q)
VaR_α = -F⁻¹(α)
∇·F = ∂P/∂x + ∂Q/∂y + ∂R/∂z
∮_C F·dr = ∬_S (∇×F)·n dS
Γ(n) = (n-1)!
ζ(s) = Σ_{n=1}^∞ 1/nˢ
∇²u = ∂²u/∂x² + ∂²u/∂y²
F(ω) = ∫_{-∞}^∞ f(t)e^{-iωt}dt
System Online • Ready for Analysis

ARNAV
JAIN

>|

Transforming complex datasets into strategic insights through advanced machine learning, statistical modeling, and algorithmic innovation. Building intelligent systems that drive data-driven decision making.

Download Resume
10+
ML Projects
50+
Datasets Analyzed
3+
Years Experience
AboutMe.initialize()

ABOUT ME

Get to know the person behind the algorithms - my journey, passions, and what drives me to innovate in the world of data science.

My Journey

I was born and raised in India, where my fascination with numbers and patterns started early. That curiosity naturally pulled me toward Computer Science, where I first experienced the thrill of turning logic into solutions — and where I stumbled into the world of data and algorithms.

During undergrad, I found myself increasingly drawn to financial markets. What began as casual interest soon became a full-on obsession. I spent nights building trading bots, studying price patterns, and learning how data, strategy, and unpredictability all danced together in finance.

Today, I’m pursuing my Master’s in Applied Data Analytics at Boston University — sharpening my skills in machine learning, analytics, and the art of extracting stories from numbers. Whether it's uncovering trends or solving real-world problems, I love giving data a voice.

Outside the classroom and code editors, you’ll probably find me exploring New England’s hiking trails, discovering hidden coffee spots in Boston, or planning my next spontaneous getaway. I’m a big believer in balance — between structure and spontaneity, precision and curiosity.

Arnav Jain - Personal Photo

Exploring the beautiful landscapes of New England 🍂

Dream Destination

New York City, US

Life Motto

Work Hard, Play Hard

Personality Type

Golden Retriever energy, with a side of caffeine!

Thinking Style

Quiet, layered, and 3 steps ahead (most days).

"
Data is not just numbers; it's the language of the future. Every algorithm I write, every model I build, is a step towards understanding the patterns that shape our world.
- My Data Philosophy

Beyond the Code

Poker

I go All-In when I get Ace and Jack of Spades !

Formula 1

My favourite team is Scuderia Ferrari, and Micheal Schumacher is my GOAT !

Soccer

Manchester is Blue, forever...Go Man City #93:20

Music

House keeps me sane, Techno makes me go ballistic!

Fun Facts About Me

500+
Cups of Coffee
Fuel for late-night coding
15+
Countries Visited
Always exploring new cultures
Curiosity Level
Never stop learning

When I'm not building models or analyzing data, you'll find me at the poker table calculating odds, watching F1 races, cheering for my favorite soccer team, or discovering new music. Life's about finding patterns everywhere! 🚀

About.analyze()

EXPERTISE

Passionate about transforming complex data challenges into elegant solutions through mathematical precision, algorithmic innovation, and strategic thinking.

Machine Learning

Building predictive models using supervised and unsupervised learning, feature engineering, and model optimization for real-world applications.

Data Engineering

Designing scalable data pipelines, orchestrating ETL workflows, and architecting infrastructure for efficient data processing and analytics.

Quant Trader

Algorithmic trading strategies powered by quantitative models, market microstructure analysis, and real-time risk management.

Analytics

Extracting actionable insights from data through statistical analysis, data visualization, and business intelligence to drive informed decision-making.

philosophy.md
$ cat data_philosophy.txt
"In the intersection of mathematics, technology, and human insight lies the power to transform raw data into strategic intelligence. Every algorithm tells a story, every model reveals a pattern, and every insight drives innovation forward."
Ready to solve complex challenges
Arnav Jain
Data Scientist & ML Engineer
[PROJECTS.json]

FEATURED WORK

A collection of innovative projects showcasing expertise in machine learning, data science, and full-stack development.

Grekko: AI Data Analytics Tool
01
FEATURED

Grekko: AI Data Analytics Tool

Intelligent data analytics platform that uses Retrieval Augmented Generation with Qwen 2.5-7B LLM to autonomously analyze uploaded datasets performing schema detection, summary statistics, visualization generation, and anomaly detection with an integrated chat interface that allows users to ask natural language questions for deeper insights

Data VisualizationData AnalyticsLLMData Insights
GammaX: Advanced Option Pricing Tool
02
FEATURED

GammaX: Advanced Option Pricing Tool

An advanced Option Pricing and Analytics tool built using Python and StreamLit

PythonStreamlitFinanceOptions
Reinforcement Learning Based Trading Agent
03

Reinforcement Learning Based Trading Agent

Reinforcement learning agent for automated trading with 15% performance improvement over traditional strategies.

PythonTensorFlowRLFinance
Portfolio Optimization using Machine Learning
04

Portfolio Optimization using Machine Learning

ML-powered portfolio optimization using clustering algorithms for risk-adjusted returns.

PythonScikit-learnFinanceML
Depressive Health Predictor
05

Depressive Health Predictor

Depression prediction model using BRFSS dataset with 75% accuracy across multiple classes.

RPythonHealthcareML
Time Series Analysis using Amazon Chronos
06

Time Series Analysis using Amazon Chronos

A stark comparison between the performance of transformer-based and statistics based Time-Series Models

Time Series RegressionTransformersStatisticsData Analysis

More Projects Coming Soon

Currently working on several exciting projects involving deep learning, computer vision, and advanced analytics.

Blog.fetch()

LATEST ARTICLES

Insights, tutorials, and thoughts on machine learning, data science, and the latest trends in AI technology.

Exploratory Data Analysis 101: A Step-by-Step Guide for Beginners
FEATURED
Medium
Invalid Date
12 min read
Data Science

Exploratory Data Analysis 101: A Step-by-Step Guide for Beginners

A comprehensive beginner's guide to exploratory data analysis, covering essential techniques, tools, and best practices for uncovering insights from your data.

EDAData AnalysisPythonPandasVisualization
Read on Medium
Wall Street Bled, I Gained: Lessons from Market Volatility
LinkedIn
4/4/2025
8 min read
Finance

Wall Street Bled, I Gained: Lessons from Market Volatility

Personal insights and lessons learned from navigating volatile financial markets, including risk management strategies and psychological aspects of trading.

TradingRisk ManagementFinance
Read on LinkedIn
Scalable vs. Statistical: A Time-Series Forecasting Comparison Between Amazon Chronos and AutoARIMA
Medium
7/21/2025
10 min read
Time Series Analysis

Scalable vs. Statistical: A Time-Series Forecasting Comparison Between Amazon Chronos and AutoARIMA

Implementing LSTM and Transformer models for accurate prediction of financial and business metrics.

Time SeriesTransformersForecasting
Read on Medium
Building Scalable Data Pipelines with Apache Spark
Medium
1/10/2024
10 min read
Data Engineering

Building Scalable Data Pipelines with Apache Spark

A comprehensive guide to designing and implementing robust data processing pipelines for big data applications.

SparkBig DataETL
Read on Medium
Skills.compile()

TECH STACK

A comprehensive toolkit spanning machine learning, data engineering, cloud computing, and advanced analytics with proven expertise across multiple domains.

Programming Languages

5 technologies mastered

Python95%
R88%
SQL92%
Java82%
C++87%

ML/AI Frameworks

5 technologies mastered

TensorFlow92%
PyTorch88%
Scikit-learn96%
Pandas94%
NumPy91%

Data & Cloud

5 technologies mastered

Apache Spark85%
AWS80%
Azure88%
MongoDB83%
PostgreSQL94%

Analytics & Visualization

5 technologies mastered

Tableau91%
Power BI95%
Excel93%
SPSS76%
R-Studio90%
Certifications.validate()

CERTIFICATIONS

Professional certifications from industry leaders, validating expertise in cutting-edge technologies and methodologies in AI, machine learning, and data science.

Neural Networks and Deep Learning

DeepLearning.AI

Coursera

Verified
January 2022

Comprehensive specialization covering deep learning fundamentals, neural network architectures, and practical implementation using TensorFlow and Python.

Deep LearningNeural NetworksTensorFlowPythonBackpropagation
Credential ID
U9FLNF4ZVCMW
View Certificate

Generative AI: Introduction and Applications

IBM

Coursera

Verified
January 2025

Advanced course covering generative AI technologies, large language models, prompt engineering, and practical applications in business contexts.

Generative AILLMsPrompt EngineeringAI EthicsBusiness Applications
Credential ID
T45BHRED8TF1
View Certificate

Python for Data Science, AI & Development

IBM

Coursera

Verified
January 2025

Comprehensive Python programming course focused on data science applications, machine learning libraries, and AI development frameworks.

PythonData SciencePandasNumPyMachine LearningAPI Development
Credential ID
SY4H6ROLHRKE
View Certificate

Generative AI: Prompt Engineering Basics

IBM

Coursera

Verified
January 2025

Prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.

Prompt EngineeringLarge Language ModelChain of Thought
Credential ID
LAU3GUT5WL83
View Certificate

Introduction to Artificial Intelligence (AI)

IBM

Coursera

Verified
January 2025

Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

Generative AILLMsPrompt EngineeringAI EthicsBusiness Applications
Credential ID
M1WXUIW1IS5L
View Certificate

Introduction to Data Analytics

IBM

Coursera

Verified
October 2022

Comprehensive Data Analysis Course

PythonData AnalyticsData VisualizationStorytelling
Credential ID
Z9B7JR9RUVTW
View Certificate

Algorithms on Graphs

UC San Diego

Coursera

Verified
November 2021

Course on learning various types of graph-based algorithms, which are widely used in software development and other fields.

Graph AlgorithmsData StructuresSoftware DevelopmentProgramming
Credential ID
7D54Y7SGG5NF
View Certificate

Asymmetric Cryptography and Key Management

University of Colorado

Coursera

Verified
Novermber 2021

Advanced course using asymmetric cryptography techniques, which used widely in industry to secure data.

CryptographyEncryptionData PrivacyData Security
Credential ID
UYLJJ9YR2B5K
View Certificate

Software Processes and Agile Practices

University of Alberta

Coursera

Verified
November 2021

A course on learning and implementing software processes and agile development practices in SDLC.

Software DevlopmentAgile DevlopmentSoftware Engineering
Credential ID
LXZLEX8VBVE9
View Certificate

Professional Validation

9
Certifications
100%
Verified
35
Skills Validated
2025
Latest Cert

Certification Timeline

2021
Software Development
2025
Generative AI + Python
Education.load()

EDUCATION

Academic foundation built through rigorous coursework in computer science, mathematics, and data analytics from world-class institutions.

Completed

Master of Science in Applied Data Analytics

Boston University

Boston, MA
September 2023 - January 2025
GPA: 3.8/4.0

Key Coursework

Advanced Machine Learning
Deep Learning & Neural Networks
Statistical Data Mining
Big Data Analytics
Data Visualization
Computational Mathematics
Data Mining
Financial Data Analysis

Achievements

Top 5% of Graduating Class
ML Research Publication (In Review)
Completed

Bachelor of Technology in Computer Science

Manipal University Jaipur

Jaipur, India
August 2019 - July 2023
GPA: 8.21/10 (3.53/4.0)

Key Coursework

Data Structures & Algorithms
Database Management Systems
Machine Learning Fundamentals
Statistical Analysis
Cloud Computing
Software Engineering
Computer Networks
Operating Systems

Achievements

Graduated with Distinction
Best Final Year Project Award
Technical Society Research Head
Hackathon Winner
Experience.execute()

WORK EXPERIENCE

Professional journey spanning data analytics, algorithmic trading, and quantitative research with proven track record of delivering measurable business impact.

Contract

Data Scientist

Omalco Extrusions

New Delhi, India
June 2022 – July 2023

Key Responsibilities

Developed and implemented predictive models using statistical and machine learning techniques including gradient boosting algorithms, hypothesis testing, and DBSCAN, aimed at uncovering critical business trends and enhancing strategic planning.
Designed and deployed interactive real-time dashboards using Power BI, resulting in a 10% improvement in manufacturing operational efficiency through enhanced visibility and timely decision-making
Conducted comprehensive exploratory data analysis and advanced statistical modeling using R and SQL, effectively translating complex analytical findings into clear, actionable business insights, significantly contributing to data-driven strategic decisions across various departments

Technologies Used

Power BITableauRPythonSQLAzure

Key Achievements

10% efficiency increase
50% reduction in manual reporting
Executive-level presentations
Full-time

Trade Analyst & Trader

Jain Capital

Jaipur, India
May 2020 – March 2022

Key Responsibilities

Engineered and executed sophisticated option trading strategies leveraging predictive analytics, optimization techniques, and advanced statistical models, consistently achieving ROI of 30% and maintaining an industry-leading Sharpe ratio.
Developed and implemented a robust Python-based risk management framework, which significantly reduced downside exposure by 35%, thereby enhancing overall portfolio stability and risk-adjusted returns.
Conducted in-depth quantitative analyses and developed accurate forecasting models, effectively synthesizing complex data to deliver actionable insights and strategic recommendations, directly contributing to a 21% improvement in firm profitability.

Technologies Used

TradingViewTradeStationExcelPythonSQLPineScript

Key Achievements

30% ROI achieved
21% profitability improvement
Above-benchmark Sharpe ratio
Contact.connect()

GET IN TOUCH

Ready to collaborate on innovative data science projects or discuss opportunities in machine learning and AI. Let's build something amazing together.