Hi, I'm Rakesh|
Machine Learning / AI Systems Candidate
Junior ML / AI Systems candidate with 5+ years in technical support and IT operations, building practical machine learning, automation, and support-focused AI projects.
Structured Troubleshooting
Strong background in fault isolation, operational workflows, and repeatable problem-solving from real production support environments.
Core Technical Stack
Technologies aligned with my resume, coursework, and applied machine learning projects.
Python
SQL
Pandas
NumPy
Scikit-learn
Docker
Linux
TensorFlowApplied Machine Learning
Focused on practical ML projects in churn prediction, customer support AI, and operational analytics.
Operations + AI Mindset
Combining customer-facing technical support experience with data-driven thinking and system-oriented problem solving.
Job-Ready Foundation
Actively building projects, strengthening ML fundamentals, and preparing for junior ML, AI systems, and analytics roles.
Code Showcase
Selected snippets inspired by my machine learning, automation, and support-focused AI projects.
Telecom Churn Prediction
Feature prep, imbalance handling, and model training...
PCAP StoryTeller
Packet parsing and readable troubleshooting narratives...
Support Copilot
Memory, retrieval, and tool-assisted support workflow...
Telecom Churn Prediction - Model Training Flow
// Advanced RAG Pipeline with Multi-Agent Orchestration
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, random_state=42, stratify=y
)
model = RandomForestClassifier(
n_estimators=300,
max_depth=12,
random_state=42
)
model.fit(X_train, y_train)
preds = model.predict(X_test)
print(classification_report(y_test, preds))
My Approach
Planning & Strategy
I'll collaborate to map out your goals, target audience, and key functionalities. We'll discuss site structure and navigation.
Development & Testing
Building scalable systems using robust architectures, ensuring high performance and comprehensive testing across devices.
Deployment & Maintenance
Seamlessly deploying your solution to production, and providing ongoing support to keep things running perfectly.