Data Science

Subcategories/Services

1. Data Analysis and Visualization

   • Exploratory Data Analysis (EDA)
   • Dashboard creation using Power BI, Tableau, or Excel
   • Data Cleaning and Preprocessing
   • Trend Analysis and Insights Extraction

2. Machine Learning and AI

   • Model Development (Regression, Classification, Clustering)
   • Deep Learning (using TensorFlow, PyTorch, etc.)
   • Predictive Analytics
   • Natural Language Processing (NLP)

3. Big Data Solutions

   • Data Pipeline Development (ETL processes)
   • Big Data Tools (Hadoop, Spark)
   • Cloud-based Data Solutions (AWS, GCP, Azure)

4. Data Engineering

   • Database Design and Optimization
   • SQL Queries and Stored Procedures
   • Data Warehousing
   • API Integration for Data Access

5. Business Intelligence

   • KPI Tracking and Reporting
   • Strategic Data-Driven Decision-Making Support
   • Automated Reporting Systems

6. Specialized Services

   • Financial Modeling and Forecasting
   • Sentiment Analysis and Text Mining
   • Anomaly Detection in Time-Series Data
   • Image Recognition and Computer Vision

Tools and Technologies

• Programming Languages: Python, R, SQL, Java
• Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
• Databases: MySQL, PostgreSQL, MongoDB
• Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch, Keras
• Big Data Tools: Apache Spark, Hadoop
• Cloud Platforms: AWS (S3, Redshift), Google Cloud (BigQuery), Azure