AI & Machine Learning Integrations
Automation • Personalization • NLP
Embed ML and GenAI into apps and workflows—responsibly and pragmatically—to boost efficiency and customer experience.
SageMaker
Vertex AI
PyTorch
scikit-learn
LLM APIs
- Recommendation, scoring, and anomaly detection.
- Chatbots, assistants, and retrieval-augmented apps.
- MLOps, monitoring, and human-in-the-loop safety.
Outcome: Smart, measurable winsEngagement: Prototype → Scale
Data Science & Analytics
Insights • Forecasts • BI
Turn raw data into decisions with exploratory analysis, modeling, and clear dashboards stakeholders actually use.
Python
SQL
Power BI
Tableau
Jupyter
- Descriptive, diagnostic, and predictive analytics.
- Experimentation & A/B testing for measurable lift.
- Actionable storytelling and KPI design.
Outcome: Faster, better decisionsEngagement: Sprint / Ongoing
Data Engineering Solutions
Pipelines • Quality • Governance
Design and build reliable batch/stream pipelines, robust data models, and automated quality checks that keep your analytics and ML humming.
ETL / ELT
Airflow
Spark
Kafka
DBT
- Ingestion frameworks (files, APIs, CDC, events).
- Data contracts, testing, SLAs & observability.
- Versioned datasets, lineage, and documentation.
Outcome: Trusted, reusable dataEngagement: Project / Retainer
Cloud Data Architecture
Lakehouse • Warehouse • Mesh
Blueprint and implement future-proof architectures on AWS/Azure/GCP for scale, cost efficiency, and interoperability.
AWS
Snowflake
Redshift
Iceberg
Delta
- Lakehouse patterns & domain-oriented design.
- Security, governance, and cost controls baked in.
- Migration roadmaps and reference architectures.
Outcome: Scalable foundationsEngagement: Advisory / Build
