Data Analytics
Transform Your Business with Data Analytics
Unlock the power of your data to drive smarter business decisions, optimize operations, and predict future trends.
We deliver end-to-end data analytics and science solutions — from data strategy and integration to machine learning and AI-powered insights.
What We Do
Business Intelligence & Dashboards
Visualize key metrics and KPIs with dynamic, self-service dashboards. Empower teams with real-time reporting using tools like Power BI, Tableau, and Looker.
Data Science & Predictive Modeling
Use advanced statistical models, machine learning, and AI to uncover patterns, predict outcomes, and recommend actions.
Data Engineering & Warehousing
Build robust data pipelines, clean and transform data at scale, and store it in modern cloud data warehouses.
Big Data Solutions
Leverage distributed computing to handle high-volume, high-velocity data from diverse sources (IoT, logs, social, etc.).
ETL/ELT & Data Integration
Seamlessly connect your data sources, from databases to APIs, and automate the data preparation process.
Data Governance & Compliance
Ensure data quality, lineage, and security with built-in governance practices. Stay compliant with GDPR, HIPAA, and other regulations.
Industries We Serve
Financial Services & Banking – Gain insights to manage risk, optimize portfolios, and improve customer experience.
Healthcare & Life Sciences – Drive better patient outcomes and operational efficiency with data-driven insights.
Manufacturing & Logistics – Optimize supply chains, production, and inventory with predictive analytics.
Retail & eCommerce – Understand customer behavior and boost sales with actionable analytics.
Energy & Utilities – Improve efficiency, reduce costs, and forecast demand with smart data solutions.
Government & Public Sector – Make informed decisions, enhance services, and improve transparency with analytics.
Technology Stack
We use a modern, flexible stack tailored to enterprise-grade analytics and data science.
- Cloud Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse
- Traditional RDBMS: PostgreSQL, MySQL, Oracle, SQL Server
- Data Lakes & Storage: AWS S3, Azure Data Lake, Google Cloud Storage, HDFS
- ETL/ELT Tools: Apache NiFi, Talend, dbt, Informatica, Fivetran, Matillion
- Batch & Streaming: Apache Airflow, Apache Kafka, Spark, Flink, AWS Glue
- Workflow Orchestration: Apache Airflow, Prefect, Dagster
- Power BI
- Tableau
- Looker
- Qlik Sense
- Google Data Studio
- Metabase, Superset
- Languages & Frameworks: Python (Pandas, Scikit-learn, TensorFlow, PyTorch)
R (Tidyverse, Caret, Shiny) SQL for data querying - ML Platforms: AWS SageMaker, Azure ML, Google Vertex AI, Databricks ML
- MLOps Tools: MLflow, Kubeflow, DVC, Tecton
- Apache Spark, Hadoop, Hive
- Databricks
- Google Dataflow
- Amazon EMR
- Presto, Trino
- Cloud Providers: AWS, Azure, Google Cloud Platform (GCP)
- Infrastructure-as-Code: Terraform, AWS CloudFormation
- Security & Compliance: Data masking, role-based access, encryption, IAM, audit logging