Advanced Data Analytics & AI Implementation

We transform raw data into actionable intelligence through:
  • Data Pipeline Engineering:Building robust ETL processes with error handling
  • Machine Learning Operations:Developing and productionizing predictive models
  • Business Intelligence:Interactive dashboards with drill-down capabilities
Technical Stack Options:
  • Cloud: AWS SageMaker, Azure Synapse
  • On-Prem: SQL Server Analysis Services
Open Source: Apache Spark, TensorFlow Case Study: Retail Demand Forecasting Problem: National retailer had 34% prediction error in seasonal inventory. Our Solution:
  • Built Prophet time-series models on Databricks
  • Integrated weather API data feeds
  • Deployed MLflow model registry
Impact: ▲ 22% inventory turnover increase ▼ $8.2M annual waste reduction

Hourly Data Consultation

$25 / hour
  • Fix broken SQL/Python queries
  • Debug errors in Jupyter notebooks
  • Resolve API connection issues (REST/GraphQL)
  • Fine-tune pre-trained ML models (scikit-learn/TensorFlow)
  • Optimize Pandas/Spark data processing
  • Power BI/Tableau formula fixes
  • Data source configuration

Daily Data Sprint

$150 / day | 8-hours block
  • Build ETL pipeline (Apache Airflow/Luigi)
  • Clean messy datasets (OpenRefine/Pandas)
  • Train baseline model (Regression/Classification)
  • Feature engineering workshop
  • Interactive dashboard (Plotly Dash/Streamlit)
  • Automated report generation

Weekly AI Solution

$500 / week | 20-hours
  • Set up cloud data warehouse (Snowflake/BigQuery)
  • Implement CI/CD for ML pipelines
  • Custom NLP model (Sentiment Analysis/NER)
  • Computer vision prototype (YOLO/ResNet)
  • API wrapper for models (FastAPI/Flask)