class Lidiya:
name = "Lidiya D"
role = ["Aspiring Data Scientist", "ML Enthusiast", "Problem Solver", "Open Source Contributor"]
education = "B.Tech AI & Data Science @ Dhanalakshmi Srinivasan University (2028)"
experience = ["Data Science Intern @ InternsForge", "HR Intern @ Noodiyos",
"Campus Ambassador @ E-Cell IIT Bombay"]
focus = ["Machine Learning", "Predictive Modeling", "Data Analytics", "DSA"]
dsa = {"leetcode_streak": "365+ Days 🔥", "problems_solved": "593+", "mindset": "consistent"}
mantra = "Every dataset has a story — I help tell it."
open_to = "Data Science / ML / Software Internships 🎯"
fun_fact = "I once built a model to predict traffic... then got stuck in it 🚗"
def say_hi(self):
print("Thanks for stopping by! Let's build something meaningful with data.")Languages
Data Science & Machine Learning
Tools & Platforms
593+ problems solved across arrays, dynamic programming, graphs, trees, backtracking, and binary search — with a 365+ day streak badge that proves consistency over motivation. DSA isn't just interview prep — it's structured thinking I bring to every ML pipeline and data problem.
| 🔁 Consistency | 🧩 Problem Domains | 💡 Mindset | 🎯 Goal |
|---|---|---|---|
| 365+ consecutive days | Arrays · Trees · DP · Graphs · Backtracking | Pattern recognition + optimization | Bridge DSA foundations with ML engineering |
- Applied end-to-end data science workflows including EDA, feature engineering, and model building
- Worked with real-world datasets to deliver predictive insights and business-facing visualizations
- Strengthened skills in Scikit-Learn, Pandas, and Streamlit for production-style deliverables
- Participated in talent acquisition processes including job posting, resume screening, and shortlisting
- Conducted candidate screening rounds evaluating technical and cultural fit for open roles
- Gained hands-on exposure to HR operations: onboarding workflows, documentation, and coordination
- Sharpened communication and people management skills through cross-functional collaboration
- Represented one of India's premier entrepreneurship cells at university level
- Drove awareness of startup and innovation events among the student community
- Built professional networking skills and event coordination experience
| Project | Description | Stack | Highlights |
|---|---|---|---|
| 🚦 Traffic Congestion Predictor | Predictive model analyzing urban traffic patterns with deep feature engineering | Python Random Forest Scikit-Learn |
Real-world dataset · EDA pipeline |
| 🔊 Sonar Object Classification | High-accuracy binary classifier distinguishing metallic objects from sonar signals | Python Random Forest Feature Scaling |
Feature selection · Model tuning |
| 📊 Marketing Campaign Dashboard | Interactive BI dashboard visualizing KPIs and campaign performance metrics | Python Streamlit Seaborn |
Live filters · Stakeholder-ready UI |
| 🌍 Climate Prediction Model | ML-powered environmental forecasting using historical climate datasets | Python Scikit-Learn Matplotlib |
Time-series analysis · Regression |
I believe in learning from the best — by reading, navigating, and contributing to world-class codebases. Open source has sharpened my engineering instincts and shown me how real production software is built and maintained at scale.
| Repository | Domain | What I Explored |
|---|---|---|
| webpack | Build Tooling | Module bundling internals, plugin architecture, JS dependency graphs |
| Rocket.Chat | Real-time Communication | Full-stack architecture, WebSocket handling, scalable messaging patterns |
| matrix-org | Decentralized Comms | Federation protocol design, event DAGs, distributed system concepts |
| tesseract-ocr | Computer Vision / OCR | Image preprocessing pipelines, ML integration in C++ systems |
| oppia | EdTech / Python + Angular | Contributor workflows, interactive content design, test-driven development |
| Area | What I'm Building |
|---|---|
| 📐 Advanced SQL | Window functions, CTEs, query optimization for large-scale datasets |
| 🧬 Deep Learning | Neural networks, backpropagation, CNNs from first principles |
| ☁️ ML Deployment | Taking models from Jupyter notebooks to production with APIs & cloud |
| 🤝 Open Source | Deeper dives into oppia, webpack, and structured contributor pipelines |
"Without data, you're just another person with an opinion."
— W. Edwards Deming
⭐ If you find my work interesting, a star means the world — thank you for visiting!