Services

Data Engineering Services

ETL Development & Pipeline Creation

• Design and implement ETL processes using Python and Kedro.
• Develop and maintain data pipelines for seamless data flow and integration.

Database Management & Optimization

• Manage and organize databases (SQL & NoSQL) including PostgreSQL, MongoDB, and Elasticsearch.
• Optimize database schemas for efficient data storage and retrieval.

Data Extraction & Integration

• Build and deploy web scraping pipelines for data extraction from websites and scientific articles.
• Integrate data from multiple sources using Python and cloud services.

Automation & Scheduling

• Implement automation solutions and cron jobs for recurring data tasks.
• Develop scripts for automated data processing and reporting.

Cloud Services & Deployment

• Utilize AWS services for cloud-based application deployment and management.
• Implement containerization with Docker and orchestration with Kubernetes and Rancher.

Data Management

• Create and manage data repositories.
• Develop custom data management solutions tailored to client needs.

Data Analysis & Visualization Services

Data Cleaning & Preprocessing

• Develop Python-based ETL pipelines for data cleaning and transformation.
• Handle missing data and outlier detection using advanced machine learning techniques.

Exploratory Data Analysis (EDA)

• Perform EDA to uncover insights and guide decision-making.
• Utilize libraries such as Pandas, NumPy, and Matplotlib for data exploration.

Predictive Modeling

• Build and deploy machine learning models for predictive analysis using Scikit-Learn and TensorFlow.
• Develop and implement custom models for specific client requirements.

Data Visualization

• Create interactive dashboards and visualizations using Matplotlib, Seaborn, Plotly, and Kibana.
• Develop web-based applications for data visualization with Streamlit, Flask, and Django.

Machine Learning & AI Services

Model Development & Integration

• Develop and integrate machine learning models for classification, regression, and prediction.
• Utilize TensorFlow, Scikit-Learn, and OpenAI API for AI solutions.

Image Classification

• Implement image classification pipelines using TensorFlow and transfer learning techniques.
• Provide solutions for analyzing and categorizing images.

Information Retrieval & Search

• Develop semantic (vector search) and lexical (free text search) functionalities.
• Implement Retrieval-Augmented Generation (RAG) pipelines for enhanced data retrieval.

Web Development Services

API Development

• Design and build RESTful APIs for data interaction and integration.
• Develop APIs for data submission and processing.

Web Application Development

• Create web applications using Flask and Django for data visualization and interaction.
• Implement front-end technologies (HTML, CSS, JavaScript) for user interface design.

Consulting & Project Management

Data Strategy & Consulting

• Provide expert advice on data strategy and management.
• Assist in developing data-driven solutions and optimizing data workflows.

Project Management

• Lead data engineering projects and coordinate with cross-functional teams.
• Ensure timely delivery and adherence to best practices in data engineering and analysis.

Code Review & Best Practices

• Conduct code reviews and enforce best practices in data engineering and machine learning.
• Provide recommendations for code optimization and maintainability.