Digitalization, Data Engineering & Data Science Solutions

Assess business processes, teams & digital infrastructure. Identify requirements across all levels of the organization are correctly aligned & prioritized with the project’s objectives.

Examine the data architecture, data maturity, data governance and data life-cycles. Improve the data culture and data literacy of all employees. A secure properly designed unified digital-core is key for digitalization strategies.

Apply lean, agile methodology with DevOps / MLOps to deliver critical path implementations ensuring high performers are assigned to highest value initiatives.

Realize optimal Return-on-Investment by re-engineering existing systems or building complete digital solutions.

Unlock Data Intelligence and AI technologies to drive new insights, optimize operations, and direct innovations for clients 

Manage, control and monitor strategic KPI’s, and identify anomalies with Notifications & Dashboarding

Data Intelligence Framework Architecture for Data Mesh, Data Fabric, Data Lake, and Data Warehouse Typologies and enforcing Security, Governance & Auditory Compliance.

Big Data Engineering, Integration, Meta Data Management, Data Modelling Strategies. 

Application Modernization, Engineering & Development for digital assets capturing, analyzing and reporting

 IoT Device Automations, Data Streaming with Realtime Analytics & Alerting Controls

Machine Learning & AI with Quantitative Prediction Modelling, LLM, RAG, Document Parsing, Textual Classifications, Image Recognition.

Business Intelligence with Time Series Analysis, Forecasting & Dashboarding of KPIs

Solution Stacks includes, but not limited to, Synapse, Redshift, Snowflake, Databricks, Spark , Python, R, .NET, Java, SQL, MS Power Platform, MS Dynamics, IBM Infosphere, Datafactory, Glue, Tableau, SAP, Qlik, Power BI, Selenium, APIs, MLOps, DevOps