Data Science & Machine Learning Portfolio

From traditional ML to modern AWS AI - comprehensive data science expertise

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Data Science Visualization
Traditional ML to Modern AI

🛠️ Technology Stack

Big Data & Processing

Apache Spark PySpark Hadoop RDD Streaming

Machine Learning

Scikit-learn Pandas NumPy Decision Trees Classification

AWS AI/ML Services

SageMaker Bedrock Kinesis S3 Boto3

Development Tools

Jupyter Python Lambda CLI Git

📊 Featured Projects

Multiclass Classification & Logistic Regression

Classification
Classification Code

Advanced classification algorithms with logistic regression implementation

Scikit-learn Pandas Python
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Decision Tree Classification

ML Algorithm
Decision Tree

Decision tree implementation for classification problems

Decision Trees Visualization
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Diabetes Classification Analysis

Healthcare
Diabetes Analysis

Medical data classification for diabetes prediction

Healthcare ML Statistical Analysis
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NBA Statistical Analysis

Sports Analytics
NBA Analysis

Comprehensive NBA dataset analysis with visualization

Data Visualization Statistical Analysis
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AWS SageMaker K-Means Clustering

AWS ML

PySpark implementation of K-means clustering on AWS SageMaker

SageMaker PySpark K-means
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Real-time Streaming Analytics

Big Data

Spark Streaming implementation for real-time data processing

Spark Streaming Real-time DStreams
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🎯 Data Science Capabilities

Predictive Analytics

Classification, regression, and time series forecasting

  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Neural Networks

Big Data Processing

Scalable data processing with Apache Spark

  • RDD Operations
  • DataFrame API
  • Streaming Analytics
  • ETL Pipelines

AWS ML Integration

Cloud-native machine learning solutions

  • SageMaker Pipelines
  • Kinesis Streaming
  • S3 Data Lakes
  • Bedrock AI Models

Data Visualization

Interactive dashboards and statistical plots

  • Matplotlib/Seaborn
  • Plotly Dashboards
  • Statistical Analysis
  • Business Intelligence

🚀 From Traditional ML to Modern AI

1

Traditional Machine Learning

Scikit-learn, Pandas, statistical analysis

Python Jupyter Statistics
2

Big Data Processing

Apache Spark, Hadoop, distributed computing

Spark Hadoop Streaming
3

Cloud ML Services

AWS SageMaker, managed ML pipelines

SageMaker Kinesis S3
4

Modern AI Integration

Amazon Bedrock, generative AI, production APIs

Bedrock GenAI APIs

Ready to Transform Your Data into AI-Powered Insights?

From traditional ML to cutting-edge AI - comprehensive data science solutions

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