Shaik Samdan

I Craft Intelligent AI/ML workflows for businesses

Shaik Samdan

Hi 👋! I'm a Junior Data Scientist With a strong passion for transforming raw data into meaningful stories, that drive decision-making I continuously evolve, crafting AI-powered automated solutions through code, data, and innovation.

About Me

I'm a Junior data scientist in the making, Specialized in implementing extensible AI/ML applications.

Samdan Shaik

Samdan Shaik

Experience

I Previously worked as a data scientist at AceEngineer, Inc. Enforcing AI based solutions for clients using skills like Python, ML, DL, NLP, Data Visualization and MLOps.

Also, I have a strong background in statistical analysis, predictive modeling, machine learning techniques, and deriving actionable insights from large datasets.

Education

Completed my Bachelors of Technology in Computer Science and Engineering at Rajiv Gandhi University of Knowledge Technologies, Srikakulam (RGUKT Srikakulam).

Qualified with a GPA of 7.45 / 10

Interests

I am interested in unfolding versatile Machine learning Workflows and enjoys collaborating with diverse teams to bring ideas to life. Beyond coding, I regularly read blogs on AI Trends/Updates. In my free time, I enjoy interacting with new people, exploring innovative ideas and working on projects that excites me.

Services

The Skills I Bring

Data-Driven Solutions

Transform complex datasets into actionable business insights through advanced analytics and visualization

AI-Powered Systems

Build intelligent solutions using cutting-edge machine learning and deep learning technologies

Predictive Analytics

Create automated workflows and predictive models that drive business decision-making

My TechStack

Tools & Frameworks I use in my projects

Data Science & AI

Scikit-learn Scikit-learn
XGBoost
PyTorch PyTorch
NumPy NumPy
Pandas Pandas
GitHub Copilot GitHub Copilot
Claude Code Claude Code
Tableau Tableau
Seaborn
Plotly Plotly
Flask Flask
MLflow MLflow
Azure ML Azure ML

Programming & Development Tools

Python Python
SQL Server SQL Server
MySQL MySQL
YAML YAML
FastAPI FastAPI
Streamlit Streamlit
Git Git
GitHub GitHub
GitHub Actions GitHub Actions
VS Code VS Code
Jupyter Notebook Jupyter Notebook
Markdown Markdown
Microsoft Office

Featured Work

Ecom-Sales Predictor

Ecom-Sales Predictor

A sequential ML pipeline to predict product success using sales data.

View Project
AI Forecast

AI Forecast

An extensive market intelligence system to predict global AI market trends.

View Project
Oil & Gas Data Analysis

Oil & Gas Data Analysis

Oil & Gas Data project analyzing BSEE datasets, creating visualizations and insights.

View Project

Ecom-Sales Predictor

View Code
Ecom-Sales Predictor

Tech Stack

Python
Scikit-learn
Pandas
NumPy
Machine Learning
Data Analysis

An advanced e-commerce sales prediction system that leverages machine learning to predict product sales outcome, forecast sales trends, analyze customer behavior, and provide actionable insights. The system combines traditional ML models with deep learning approaches and includes a backend FastAPI, comprehensive Streamlit dashboard for real-time analysis and predictions.

Key Features

  • Sequential ML pipeline for product success prediction
  • Achieved 100% accuracy on test dataset
  • Improved baseline model performance significantly
  • Automated data preprocessing and feature engineering
  • Comprehensive model evaluation and validation

AI Forecast

View Code
AI Forecast

Tech Stack

Python
Streamlit
Machine Learning
Data Analysis
Pandas
Visualization

A comprehensive machine learning system that analyzes global AI market trends, predicts future growth patterns, and provides actionable insights for investors and businesses in the artificial intelligence sector. The project leverages advanced data science techniques to process and analyze AI market data from multiple sources, providing detailed insights.

Key Features

  • Market intelligence system for AI trend prediction
  • R² = 0.857 accuracy in forecasting
  • Interactive Streamlit dashboard for visualization
  • Real-time data analysis capabilities
  • Comprehensive market insights and reporting

Oil & Gas Data Analysis

View Code
Oil & Gas Data Analysis

Tech Stack

Python
Scrapy
Data Visualization
Analytics
Pandas
Matplotlib

Oil and Gas Data Analysis project focused on extracting and analyzing data from the Bureau of Safety and Environmental Enforcement (BSEE) website. The project leverages comprehensive Data Analysis and Visualization techniques for business insights.

Key Features

  • Comprehensive analysis of BSEE datasets
  • Improved data extraction using Scrapy
  • Compelling data visualizations for insights
  • Industry-specific analytics and reporting
  • Automated data collection workflows