class DataScientist:
def __init__(self):
self.name = "Santhosh Ramakrishnan"
self.role = "Data Science Enthusiast"
self.language_spoken = ["ta_IN", "en_US"]
self.code = ["Python", "SQL", "R", "JavaScript"]
self.tools = ["Pandas", "NumPy", "Scikit-Learn", "TensorFlow"]
self.databases = ["MySQL", "PostgreSQL", "MongoDB"]
self.passion = "Turning data into insights"
def say_hi(self):
print("Thanks for dropping by!")
print("Let's connect and build something amazing together!")
me = DataScientist()
me.say_hi()🎯 Current Focus:
|
|
| Category | Skills |
|---|---|
| 📈 Analytics | Descriptive • Predictive • Prescriptive Analytics |
| 🔢 Statistics | Hypothesis Testing • Regression Analysis • P-values • F-statistics |
| 🧮 Mathematics | Linear Algebra • Matrix Theory • Kernel Methods • Vector Analysis |
| 🛠️ Data Engineering | Data Cleaning • Feature Engineering • Data Modeling • ETL Processes |
| 📊 Visualization | Matplotlib • Seaborn • ggplot • Interactive Dashboards |
| ⚙️ Automation | Python Scripts • AWK/SED Scripts • Linux Shell Scripting |
| 🎯 Optimization | Linear Programming (Gekko) • Statistical Optimization |
| Project | Description | Tech Stack |
|---|---|---|
| 📈 Quadrant-Based Sales Growth Strategy | Comprehensive sales optimization using quadrant analysis for customer/product categorization | Business Intelligence Excel Data Analysis Strategy |
| 🔮 Customer Segmentation with Deep Gaussian Mixture | Advanced ML customer segmentation using Deep Gaussian Mixture Models | Python TensorFlow Deep Learning Machine Learning |
| 📄 Question Paper Generator | Intelligent system for automated question paper generation with difficulty balancing | Python Algorithm Design Education Tech Automation |
| 🖼️ Tactile Image Generation with OpenCV | Computer vision app generating tactile representations for accessibility | OpenCV Computer Vision Python Accessibility |
| 🎯 Resource Allocation Optimization | Intelligent resource distribution system for maximum efficiency | Optimization Algorithms Operations Research Management |
| 🚗 Park-Ease Parking Management | Real-time parking management with slot booking and payment integration | Django Bootstrap JavaScript MySQL |
| 🌐 Interactive Data Viz | Network Visualization • Dynamic Charts | D3.js Interactive Dashboards |
📊 Explore My Data Science Journey
gantt
title Data Science Learning Journey
dateFormat YYYY-MM-DD
section Foundation
Python Basics :done, python, 2022-01-01, 2022-03-01
Statistics & Math :done, stats, 2022-02-01, 2022-04-01
section Data Analysis
Pandas & NumPy :done, pandas, 2022-03-01, 2022-05-01
Data Visualization :done, viz, 2022-04-01, 2022-06-01
section Machine Learning
Supervised Learning :done, ml1, 2022-05-01, 2022-08-01
Unsupervised Learning :done, ml2, 2022-07-01, 2022-09-01
section Advanced
Deep Learning :active, dl, 2022-09-01, 2024-12-01
MLOps & Deployment :active, mlops, 2023-01-01, 2024-12-01
| 📋 Project | 📅 Status | 🗺 Progress | 📈 Priority |
|---|---|---|---|
| Advanced NLP Model | 🟡 In Progress | ███████░░░ 70% | 🔴 High |
| Time Series Forecasting | 🟢 Planning | ██░░░░░░░░ 20% | 🟡 Medium |
| Computer Vision App | 🟠 Research | █░░░░░░░░░ 10% | 🟢 Low |
| MLOps Pipeline | 🟡 Development | █████░░░░░ 50% | 🔴 High |
🔥 Performance Metrics
📈 Detailed Statistics
|
|
|
⚡ Activity Graph
🔍 Deep Dive Analytics
|
🔥 Commit Patterns
|
📊 Repository Stats
|
🌐 Open Source
|
🚀 Real-time Activity Feed
Current Status |
Today's Focus |
In Progress |
Fuel Level |
Current Sprint:
📊 Project: "Advanced ML Pipeline"
🗺 Progress: 73%
🕰 Time Left: "2 days"
🎯 Next Milestone: "Model Deployment"
🧠 Learning:
📚 Course: "MLOps Engineering"
🎆 Completion: 85%
🔥 Current Topic: "Kubernetes for ML"💡 "Just discovered a fascinating correlation in my dataset - sometimes the best insights come from the most unexpected patterns!"
🤔 "Working on optimizing my neural network architecture. The balance between accuracy and computational efficiency is an art form."
🚀 "Excited to implement my new feature engineering pipeline. Data preprocessing is where the magic really happens!"
📈 Skill Proficiency Radar
flowchart TD
A[Data Science] --> B[Python 🐍]
A --> C[Statistics 📈]
A --> D[Machine Learning 🤖]
A --> E[Deep Learning 🧠]
B --> B1[Advanced ★★★★★]
C --> C1[Expert ★★★★☆]
D --> D1[Advanced ★★★★★]
E --> E1[Intermediate ★★★☆☆]
F[Tools & Frameworks] --> G[Pandas 🐼]
F --> H[Scikit-learn 🔬]
F --> I[TensorFlow 🗥]
F --> J[Linux 🐧]
G --> G1[Expert ★★★★★]
H --> H1[Advanced ★★★★☆]
I --> I1[Intermediate ★★★☆☆]
J --> J1[Advanced ★★★★☆]
| Skill | 2022 | 2023 | 2024 | Trajectory |
|---|---|---|---|---|
| Python | ███░░ | ████░ | █████ | 📈 Mastered |
| ML Algorithms | ██░░░ | ████░ | █████ | 📈 Expert |
| Deep Learning | ░░░░░ | ██░░░ | ███░░ | 📈 Growing |
| MLOps | ░░░░░ | █░░░░ | ███░░ | 📈 Learning |
| Statistics | ██░░░ | ███░░ | ████░ | 📈 Advanced |
⚙️ Development Setup
╭────────────── System Info ──────────────╮
│ 🐧 OS: Arch Linux (btw) │
│ 🔥 Shell: Fish 4.0.2 │
│ 🎨 Terminal: Warp + Alacritty │
│ 🧠 Editor: VS Code + Neovim │
│ 📊 IDE: JupyterLab + PyCharm │
╰───────────────────────────────────────╯🎵 Now Playing: Lo-fi Hip Hop for Coding
🎧 Mood: Deep Focus Mode
⏱️ Session Time: 2h 15m
- Morning coffee ☕
- Review yesterday's ML model results
- Implement feature engineering pipeline
- Write unit tests for data preprocessing
- Team standup meeting at 3 PM
- Research paper reading session
- Side project: NLP model fine-tuning
🎢 Random Developer Facts
📋 Quick Stats:
- ☕ Coffee consumed while coding: 2,847 cups
- 🐛 Bugs fixed: 1,337+
- 🌙 Late night coding sessions: 247
- 📄 Documentation written: Actually quite a lot!
- 🤯 Stack Overflow visits: ∞ (infinite)
💭 Favorite Quotes:
"Data is the new oil, but insights are the refined fuel."
"In machine learning, the magic is in the data preparation."
"A model is only as good as the data it learns from."
🎮 Coding Superpowers:
- Can debug code at 3 AM with closed eyes 👁️
- Speaks fluent Python and broken English 🐍
- Can turn coffee into code ☕➡️💻
- Finds patterns in chaos 🔮
- Makes data dance 💃