P_Vijay

P_Vijay

ML Engineer · Data Analyst · Creative Coder

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Hindi

Vijay's Warehouse0%

P_Vijay // Portfolio // 2026

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PriyanshuVijay

Data Scientist & ML Engineer12+ Production Projects • 3+ Internships • 20+ Technologies

Building intelligent systems at the intersection of data science, machine learning, Transforming complex problems into scalable solutions.

Who I Am

About Me

Priyanshu
Signature

CS undergrad driven by a simple philosophy: Build tech that works for end users. Building at the intersection of Data Science, Machine Learning, and UI Design, turning raw data into actionable insights.

I have experience working with Python, Machine Learning, Data Science & Analysis, GitHub, and Web technologies. I enjoy building practical projects that solve real-world problems, continuously learning about the stock market, data science, and emerging technologies.

Apart from academics, I enjoy open source collaboration, creating public PRs, and networking. I believe in combining creativity with technology to create meaningful and impactful work.

Explore My Work →

Core Strengths

🤖

Focus

Data Science & ML

🐍

Tools

Python All-Rounder

💻

Approach

Data-Driven Design

Specialty

ML + Web Stack

3+

Internships

13+

Projects Built

20+

Technologies

academics

Educational Journey

Pursuing B.Tech in Computer Science & Engineering with focus on full-stack development, machine learing, agorithms, and software design. Building practical knowledge through hands-on projects and problem-solving.

🎓 B.Tech — Computer Science & Engineering2023–2027

Dr. Sakuntala Misra National Rehabilitation University, Lucknow

📊 Semester Performance (SGPA: 0-10)

Sem I
6.86
6.86/10
Sem II
6.36
6.36/10
Sem III
8.91
8.91/10
Sem IV
8.55
8.55/10
Sem V
9.64
9.64/10
Sem VI
9.45
9.45/10
📚 Core Computer Science Subjects:
Data StructuresWeb DevelopmentDBMSAlgorithmsOSNetworkingML / PythonNeural NetworkData WarehouseComputer NetworkCompiler Design
🎯

Current CGPA

8.30

📅

Semesters Completed

6

🏆

Highest GPA

9.64

📚 Higher Secondary SchoolMay 2023

New Public Inter College, Lucknow

🧪

Stream

Science PCM

📐

Best Subject

Maths (95%)

Score

A+

Skills

Technical Expertise

A comprehensive toolkit built through real-world projects and continuous learning.

AI/ML Engineering

Building intelligent systems with deep learning and predictive models.

ML Projects

5

Prediction Accuracy

89.54%

Models Deployed

3

Frameworks Mastered

4

Core Skills

PyTorchTensorFlowScikit-LearnXGBoostDeep LearningPredictive ModelingNeural NetworksEnsemble MethodsLightGBMSciPyKNN

Experience

Professional Journey

A chronological look at my roles and contributions. Scroll horizontally or swipe to discover more.

July 2026

Full-Stack AI Developer

@Google × Kaggle Hackathon - Git_Online

LearnForge AI - Full-Stack AI Education Platform & Secure Code Sandbox. Developed a next-gen learning application for the joint Google × Kaggle 2026 Hackathon

🎯 Key Impact

Implemented Model Context Protocol (MCP) backend with regex-driven token sanitization and 4 AI Agent-automated validation schema tests

Technologies

PythonMCP ServerReactViteTailwind CSSDockerSubprocess

May26 - July26

ML Engineer Intern

@ElevatesLab - Remote

End-to-end classification pipeline comparing tree-based ML models to predict heart disease presence from patient clinical data. Built and visualized decision trees, analyzed overfitting via depth pruning, and scaled to a Random Forest ensemble with cross-validated evaluation

🎯 Key Impact

Trained on 1,025 patient records across 14 clinical features. Diagnosed severe overfitting in an unconstrained decision tree (100% train accuracy) and stabilized generalization with a 100-tree Random Forest, achieving 92.98% mean 5-fold CV accuracy. Identified chest pain type (cp), thalassemia (thal), and major vessels count (ca) as the top 3 clinical risk indicators via feature importance analysis

Technologies

PythonPandasNumPyScikit-LearnMatplotlibDecision TreesRandom Forest

May26 - June26

Data Analyst Intern

@BeeSkilled - Remote

Data-driven analysis for enterprise sales forecasting. Implemented EDA, trained Scikit-Learn models, and deployed interactive Power BI dashboards

🎯 Key Impact

Analyzed 4-level datasets on $118M+ global sales. Identified -3.1% profit drain in Enterprise segment and recommended scaling high-margin (73.1%) Channel Partners

Technologies

PythonPandasScikit-LearnMatplotlibSeabornPower BISQL

June25 - July25

Data Analyst Intern

@Science Tech Institute, UP - Hybrid

Statistical data processing and predictive modeling on real-world datasets. Developed ecosystem using R, Excel, and Python for weekly projects

🎯 Key Impact

Gained hands-on experience extracting insights from complex datasets, implementing pivot tables, and creating actionable recommendations

Technologies

PythonRPandasNumPyMatplotlibExcelStatistics

3+

Experiences

20+

Tech Stack

10+

Projects

60k+

Data Rows

Achievements

Credentials & Certifications

A collection of professional achievements, educational certifications, and community contributions that showcase continuous learning and engagement.

Projects

Featured Work & Experiences

Projects where data, machine learning, and design come together.

CreditOptima - Loan Approval System
Machine Learning

CreditOptima - Loan Approval System

Full-Stack Development · Machine Learning Application

End-to-end ML classification app: engineered and compared Logistic Regression, KNN, and Naive Bayes models achieving ~87% accuracy, built an interactive Streamlit frontend with live approval predictions and model comparison dashboards.
PythonScikit-LearnPandasNumPyStreamlit Cloud
Real Estate Valuation Analysis
Data Science

Real Estate Valuation Analysis

Full-Stack Development · Machine Learning Model

End-to-end full-stack application: engineered ML ensemble (Ridge/Lasso/GBR) achieving 89.54% R², built interactive Streamlit frontend with real-time predictions, deployed production-ready dashboard with Plotly market analytics.
PythonScikit-LearnPlotlyPandasJoblibStreamlit Cloud
Book Data Prediction System
Data Science

Book Data Prediction System

Data Engineering · MLOps · Web Scraping · Ensemble ML

Complete MLOps pipeline: web scraping with BeautifulSoup, ensemble ML model training, real-time prediction engine via CLI. Demonstrates end-to-end data engineering and model deployment.
PythonScikit-LearnBeautifulSoup4LXMLJoblibRequests API
Smart Expense Tracker
Web Application

Smart Expense Tracker

Cloud Deployment · Data Analytics & Visualization

A web-based personal finance dashboard cloud-deployed on Hugging Face Spaces. Features real-time transaction logging, dual-format data visualization (Matplotlib metrics), historical ledger tracking, date-stamped logs, and full undo/redo state capabilities.
PythonGradioHugging Face SpacesMatplotlibJSON File I/O
Personal Portfolio
Web Development

Personal Portfolio

Web Design · Interactive UI · Performance Optimization

Responsive interactive portfolio with 3D cursor effects, animated component library, real-time theme switching, and optimized performance. Showcases modern web design & TypeScript expertise.
TypeScriptNext.jsReactTailwind CSSFramer Motion
Offline Music Player Desktop Application
Desktop App

Offline Music Player Desktop Application

Desktop Application Development · File Automation · Deployment

Full-stack desktop application: Tkinter GUI with Pygame audio engine, automated file caching, compiled to standalone .exe using PyInstaller. Zero-dependency offline execution on Windows.
PythonTkinterPygame (Mixer)PyInstallerShutilOS Module
Xela_Arcade — Chess Engine & Game Collection
Web Development

Xela_Arcade — Chess Engine & Game Collection

Game Development · Bot Logic · State Machines

Custom game framework with chess.js engine leveraging state machines and minimax algorithms. Demonstrates deep algorithm design, competitive bot logic, and React animation orchestration.
JavaScriptReactChess.jsFramer MotionLucide React
Real-Time Weather Dashboard
Desktop App

Real-Time Weather Dashboard

API Integration · Real-Time Data · GUI Development

Desktop application integrating live weather REST APIs with real-time data parsing. Displays meteorological metrics, forecasts, and environmental indices via responsive GUI dashboard.
PythonRequests APITkinterJSON Processing
Secure Password Generator
Desktop App

Secure Password Generator

Cryptographic Security · Data Privacy · Desktop Utility

Cryptographically secure password utility with user-defined length and character constraints. Operates offline for data privacy, leverages Python's secrets module for high-entropy randomization.
PythonSecrets ModuleTkinter
Craft-Greet — Custom Card Generator
Web Development

Craft-Greet — Custom Card Generator

Creative Design · User Input Handling · File Export

Interactive greeting card creator with custom image upload, personalized messaging, template selection, and direct download. Demonstrates creative UI design and file handling.
HTML5CSSJavaScript
Interactive Quiz Application
Desktop App

Interactive Quiz Application

Object-Oriented Design · Dynamic Evaluation · Local Analytics

Object-oriented application with dynamic multi-choice evaluation, live score tracking, instant input validation, and automated performance metrics. Demonstrates OOP architecture and state management.
PythonOOP ArchitectureTkinterState Management
Standard Calculator
Desktop App

Standard Calculator

Mathematical Logic · Input Validation · State Management

Desktop calculator with systematic expression parsing, decimal precision tracking, and state-driven interface. Demonstrates core math operations and UI architecture.
PythonTkinterMath Module
GPA Calculator
Web Development

GPA Calculator

Educational Tool · Weighted Computation · Performance Analytics

Grade computation tool with credit weighting, cumulative analysis, and performance feedback. Clean calculation logic with intuitive UI for academic tracking.
HTML5CSSJavaScript

← hover to expand / swipe to explore →

Research

Research & Documents

Empirical validations, architecture blueprints, and deep dives into my core technical methodologies.

Research Work

Submitted

Development and empirical validation of a quantitative machine learning framework for short-term realized volatility forecasting on the Nifty 50 index using an ensemble Random Forest architecture in Python. The system captures non-linear volatility clustering dynamics from multi-lagged daily log returns, minimizing out-of-sample error variance (MSE: 0.000246, RMSE: 0.0157, R2_score: 0.9051). The predictive engine systematically calibrates an adaptive 95% parametric Value at Risk (VaR) framework, achieving structural risk coverage with an empirical backtested breach ratio of 4.37% over 389 trading days, matching theoretical targets with high precision.

Volatility ForecastingRandom ForestPython AnalyticsRisk ModelingNSE | BSE Data95% Confidence Score

Soft.documents

Active

Explore my latest designs and projects. This space showcases ideas, blueprints, and creative journeys of documentation regarding work insights and the stacks used.

Creative_Corner

Art_Gallery

Beyond code I sketch, draw portraits, do charcoal work, design posters, and create visuals that carry emotions and stories. I've also done commissioned pieces for friends and clients.

MOMENT :The team Kala_Arpan project was a monumental, award-winning rangoli installation at Lucknow University's Bhoomi Fest 2026, created using 50,000 disposable cups across 2,500 square feet in collaboration with SFD-Awadh. This incredible feat of teamwork and creativity served as a visually striking and deeply moving tribute to the victims of Pahalgam.

Kala_Arpan —झलक🎨 50,000 disposable cups📐 2,500 sq. ft. coverage🏛️ Bhoomi Fest 2026, Lucknow University🕊️ Tribute to Pahalgam victims🤝 Collaboration With SFD-Awadh
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Xela_Arcade

fun_zone

Face off against a defensive bot algorithm

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Interested in collaborations, projects, or creative ideas?
Let's connect and create impactful digital experiences.

" — the best meetings start with chai "

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