📊 Data Analytics | 🤖 Machine Learning | ⚡ Generative AI & Agents | 💻 Software Development | 🎯 240+ Solved DSA
profile:
name: Preyal Modi
title: Data Analytics & Machine Learning Engineer | Scalable Software Developer
slogan: "📊 Data Analytics | 🤖 Machine Learning | ⚡ GenAI & Agents | 💻 Scalable Software Systems"
core_stack:
data_analytics: [Python 3.12, Pandas 2.x, NumPy, SciPy, SQL, Jupyter Lab]
machine_learning: [Scikit-Learn, PyTorch 2.x, XGBoost, TensorFlow, Keras]
generative_ai: [Google Gemini 3.8 Flash, Autonomous LLM Agents, Web Speech AI]
software_engineering: [TypeScript 5.7, React 19, Vite 6, Node.js, PHP 8.3, FastAPI, Tailwind CSS]
networking_systems: [Cisco IOS, Packet Tracer, MikroTik RouterOS, 802.1Q VLANs, OSPF, ACLs]
databases_cloud: [PostgreSQL, MySQL, SQLite, MongoDB, GCP BigQuery, Docker]
focus: "Transforming raw data into predictive intelligence and architecting resilient, production-grade applications."-
📊 Exploratory Data Analysis & Statistical Inference:
- Advanced data wrangling with Pandas 2.x and NumPy, handling high-dimensional datasets, missing value imputation, and outlier filtration in
Data-Analytics-with-Movie-Data. - Hypothesis testing, correlation matrices, longitudinal trend detection, and translating raw telemetry into commercial executive decision support.
- Advanced data wrangling with Pandas 2.x and NumPy, handling high-dimensional datasets, missing value imputation, and outlier filtration in
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🤖 Machine Learning & Predictive Modeling:
- Designing supervised regression pipelines using Scikit-Learn, XGBoost, and PyTorch 2.x to forecast academic outcomes and score distributions in
Student-Performance-Prediction. - Multi-variable correlation matrices, feature importance rankings, cross-validation tuning, and precision-recall optimization.
- Designing supervised regression pipelines using Scikit-Learn, XGBoost, and PyTorch 2.x to forecast academic outcomes and score distributions in
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⚡ Next-Generation AI & Autonomous Agentic Systems:
- Implementing Google Gemini 3.8 Flash generation pipelines with real-time audio interaction and multi-tier prompt cascades in
ai-interview-coach. - Architecting autonomous multi-step reasoning agents that parse dynamic inputs, solve complex constraints, and execute zero-shot task completions in
SmartRecipePreparationAgent.
- Implementing Google Gemini 3.8 Flash generation pipelines with real-time audio interaction and multi-tier prompt cascades in
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💻 Modern Software Engineering, Systems & Network Infrastructure:
- Architecting component-driven web applications using React 19, TypeScript 5.7, and Vite 6 in
portfolioand full-stack MVC systems in PHP 8.3 with Triple-Tier RBAC inironcore-gym-management-system. - High-fidelity lossless document conversion APIs with FastAPI in
documorph-converter, real-time transit radar insmart-college-transport, and enterprise Cisco IOS / MikroTik network simulation inCampus-Network-Design-and-Implementation.
- Architecting component-driven web applications using React 19, TypeScript 5.7, and Vite 6 in
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🎯 Algorithmic Problem Solving & Computational Rigor:
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240+ solved LeetCode problems in Python 3.12 with strict upper-bound asymptotic time complexity (
$O(1)$ ,$O(\log N)$ , $O(N)$) and top-percentile runtimes indaily-leetcode. - Mastery of 14 core interview patterns with UMPIRE methodology in
coding-interview-patternsand complete progressive 1,900+ problem tracking sheet indsa-beginner-to-advanced.
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240+ solved LeetCode problems in Python 3.12 with strict upper-bound asymptotic time complexity (
| Domain | Technologies, Frameworks & Libraries | Version / Standard | Practical Implementation Context |
|---|---|---|---|
| 📊 Data Analytics & Wrangling |       |
Python 3.12 Pandas 2.x |
Exploratory data analysis, multi-decade cohort shifts, box-office profit metric engineering. |
| 🤖 Machine Learning & AI |      |
PyTorch 2.x Scikit-Learn |
Predictive regression, clustering, ensemble decision trees, image feature extraction. |
| ⚡ Generative AI & Agents |    |
Gemini 3.8 LLM Chaining |
Multi-track mock interview grading, culinary substitution solver, voice-driven AI evaluations. |
| 💻 Frontend & UI Engineering |      |
React 19 TypeScript 5.7 |
High-performance reactive dashboards, glassmorphic interfaces, live coding sandboxes. |
| ⚙️ Backend & API Systems |      |
PHP 8.3 FastAPI Node 20 |
Enterprise MVC application routing, triple-tier RBAC authentication, document conversion engine. |
| 🌐 Systems, Networks & IoT |       |
Cisco IOS MikroTik |
Hierarchical campus topology, Router-on-a-Stick inter-VLAN routing, GPS transit radar engine. |
| 📈 Visualization & Storytelling |     |
Seaborn Chart.js |
Cubehelix correlation heatmaps, financial breakdown analytics, interactive chart canvases. |
| 🗄️ Databases & Storage |     |
ACID SQL NoSQL |
Relational normalization, indexing, ACID transactions, dual-driver DB fallback layers. |
| ☁️ Cloud, DevOps & Tools |      |
CI/CD Docker |
Bi-directional commit automation, GitHub Pages deployment pipelines, containerization. |
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| # | Repository | Domain / Focus | Core Technology Stack | Key Architectural Highlight | Links & Demos |
|---|---|---|---|---|---|
| 1 | ai-interview-coach |
AI & Intelligent Agents | React 19, TypeScript 5.7, Gemini 3.8 Flash, Web Speech API | Multi-track live mock interviews with AI audio narration, voice dictation, and code sandbox. | ⚡ Live App • 💻 Source |
| 2 | Student-Performance-Prediction |
Machine Learning & EDA | Python 3.11, Scikit-Learn, XGBoost, Pandas, Seaborn | Multi-variable regression model predicting exam scores with interactive web prediction GUI. | ⚡ Live App • 💻 Source |
| 3 | SmartRecipePreparationAgent |
Autonomous AI Agents | TypeScript 5.7, React 19, Vite 6, LLM Chaining | Autonomous culinary agent solving dietary & allergen constraints with dynamic ingredient substitution. | ⚡ Live App • 💻 Source |
| 4 | documorph-converter |
Software Engineering & APIs | Python 3.12, FastAPI, LibreOffice / COM, HTML5/CSS3 | Lossless Word (.docx) ⇄ PDF conversion platform with local air-gapped processing (zero cloud leakage). | ⚡ Live App • 💻 Source |
| 5 | ironcore-gym-management-system |
Enterprise Full-Stack Web | PHP 8.3, MySQL/SQLite, Chart.js, Vanilla ES6+ JS | Enterprise gym system with triple-tier RBAC (Admin/Trainer/Member) & financial MRR analytics. | ⚡ Live Demo • 💻 Source |
| 6 | portfolio |
Modern Frontend & Cloud | React 19, TypeScript 5.7, Tailwind CSS, Vite 6 | Modern developer portfolio showcasing projects, ML models, and interactive tools with CI/CD. | ⚡ Vercel • 🌐 Netlify • 💻 Source |
| 7 | Data-Analytics-with-Movie-Data |
Data Analytics & EDA | Python 3.12, Pandas 2.x, NumPy, Matplotlib, Seaborn | 10K+ TMDb movie EDA analyzing budget ROI, 100–180 min runtime window & 50-year genre trends. | 💻 Notebook & Code |
| 8 | Campus-Network-Design-and-Implementation |
Systems & Computer Networks | Cisco IOS, Packet Tracer .pkt, MikroTik RouterOS, OSPF | Multi-faculty hierarchical campus network with 802.1Q VLANs, Router-on-a-Stick, and ACL security. | 📄 Case Study (PDF) • 💻 Code |
| 9 | smart-college-transport |
IoT Transit & Audio AI | Vanilla JS ES6+, Web Speech API, HTML5/CSS3, QR | Real-time GPS bus radar simulation with automated voice stop announcements and QR student passes. | 💻 Source Code |
| 10 | daily-leetcode |
Algorithmic Practice Vault | Python 3.12, LeetSync CI/CD, Big-O Complexity Proofs | 240+ sub-millisecond solved solutions (57 Easy, 138 Medium, 45 Hard) with automated sync. | ⚡ LeetCode Vault |
| 11 | coding-interview-patterns |
Algorithmic Patterns | Python 3.12, UMPIRE Framework, Big-O Proofs | Masterclass covering 14 core patterns (Sliding Window, Monotonic Stack, DP, Graphs). | 📖 Masterclass |
| 12 | dsa-beginner-to-advanced |
DSA Curriculum & Roadmap | Python 3.12, Google Interview Vault, AI Copilot | 1,900+ problem tracking sheet, Google interview question vault, and structured roadmap. | 🚀 Curriculum Vault |
I am passionate about collaborating on Data Analytics pipelines, Machine Learning & GenAI applications, and High-Performance Software Engineering.
