Data Scientist

• Design, build, and deploy LLM-based solutions on Snowflake, leveraging Cortex AI functions (e.g., Snowflake LLM inference, fine-tuning, embeddings).
• Create custom LLM pipelines using Snowpark ML and external models integrated through Snowflake.
• Build and operationalize machine learning models, including NLP, predictive modeling, generative AI, and recommendation systems.
• Develop and apply prompt engineering, RAG pipelines, and semantic search patterns using Snowflake features and Vector Embeddings.
• Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling using Snowflake & Snowpark Python.
• Deploy, monitor, and optimize model performance directly within the Snowflake environment.
• Integrate Snowflake ML solutions with cloud platforms (GCP) and downstream applications.
• Work with business stakeholders, product teams, and analytics leaders to identify opportunities for AI-driven transformation.
• Deliver high-quality, interpretable insights and communicate complex technical results to non-technical audiences.
• Partner with data engineers, architects, and analysts to build end-to-end Snowflake-native AI solutions.

Data Scientist, SnowFlake

Insurance

• Experience in claims FNOL claim set up and bill payments
• Review and identify different types of US legal documents/Claim documents
• Ensure that transactions are processed as per procedures
• Achieve individual productivity and quality goals
• Participate in training initiatives to develop knowledge
• Integrate procedural changes into daily routine

Insurance Claims

Solutions Engineer

• Designing, developing and delivering analytics, forecasting, reporting and data management solutions for Banking & Financial Services use cases.
• Building and maintaining solutions across SAS Grid / SAS Platform 9 environments, including Hadoop-based ecosystems.
• Developing, maintaining and optimising end-to-end ETL processes, data pipelines, models and analytical frameworks.
• Producing high-quality reports and reusable reporting solutions aligned to business requirements.
• Supporting strategic analysis and insight generation to enable informed decision-making.
• Acting as a solutions developer, shaping and delivering pragmatic solutions where requirements fall outside standard platform scope.
• Working with SQL-based data sources and collaborating with data engineering teams, including exposure to Databricks and Python where required.
• Providing project delivery support, including planning, documentation, stakeholder engagement and delivery tracking.
• Contributing to the ongoing optimisation and enhancement of analytics and BI environments.

Solutions Developer – Independent SAS Consultant

Backend Engineer

• Design logical and physical data models, schema migrations, indexing strategies, and performance tuning for SQL workloads.
• Partner with stakeholders to translate requirements into maintainable database structures and data contracts.
• Build clean, well-documented RESTful APIs (and/or GraphQL where appropriate) with consistent patterns, versioning, and error handling.
• Develop and operate Azure Functions (HTTP-triggered and event-based) for core backend workloads and integrations.
• Integrate backend services with Microsoft SQL Server deployed on Microsoft Fabric, ensuring reliable connectivity, security, and performance.
• Implement authentication & authorization using industry best practices (e.g., OAuth2/OIDC, JWT, RBAC/ABAC concepts), aligned with Microsoft identity patterns.
• Implement API metering, quota/rate-limiting patterns, usage aggregation, and reporting.
• Write automated tests (unit/integration), establish CI/CD pipelines, and support releases across environments.

Backend Developer

DevOps Engineer

• Experienced in concepts such as Continuous Integration and Continuous Deployment, including hands on implementation experience in one or more tool e.g., GitHub, Azure Devops, GitLab Runner, Jenkins and AWS- CI/CD.
• Good Experience in Azure and Terraform.
• Strong programming experience in Shell scripting / Python.
• Implementing applications in private/public cloud infrastructure and container technologies like Kubernetes and Docker/Docker Swarm.
• Experience with Database server like MS-SQL, MySQL, PostgreSQL etc.
• Good command on usage of GIT.
• Experience working with Windows and Linux Based Infrastructure.
• Experience working with IAC tools like Terraform and AWS Cloud Formation. IAC with mix of Helm Charts, Docker files, Terraform, Ansible, bash & YAML.
• Excellent troubleshooting skills.
• Must Have: Azure, Terraform, GitHub, Azure Devops
• Good understanding of bash, yaml scripting.

Senior DevOps Engineer

Data Engineer

Data Engineer – AWS

Analyst

• Manage operational delivery and stakeholder relationships for assigned clients.
• Provide specialized consulting advice based on engagement requirements and support executive-level decision-making.

• Console Vigilance: Monitor the DSPM dashboard for alerts tagged as PHI, HIPAA, or ePHI.
• Data Discovery Audit: Review newly discovered data stores to ensure they are properly classified
• Shadow Data Hunting: Identify "Shadow PHI"—sensitive health data residing in unmanaged or unauthorized locations (e.g., a developer's personal S3 bucket or a "test" folder).
• Sensitivity Assessment: Differentiate between De-identified data (low risk) and Individually Identifiable Health Information (High/Critical risk).
• Exposure Analysis: Determine the "blast radius." Is the PHI accessible to the public internet, or is it "sprawled" but still within the internal network?
• False Positive Filtering: Dismiss alerts where the "Sensitive Data PHI" is actually synthetic test data or public health statistics that do not fall under policy or regulatory classification
• Policy Enforcement: Check if the data location complies with the policy
• Reporting: Assist the Privacy Officer by providing technical evidence for monthly HIPAA compliance audits.
• Act as Level 1 support to monitor DSPM solution
• Managing day to day data privacy operation
• Work on predefined processes that defined processes that what and how the activities to be performed.
• Liaise with other team member to investigate the issues.
• Ensure smooth operations while on shift and address any issues, or questions from analyst and stakeholders.
• Research and escalate potential threats to clients for remediation or incident response based EXL processes.

Data Privacy Analyst

Consultant

• Develop end-to-end analytical workflows within SAS or python.
• Collaborate with teams to align project goals, updates, and dependencies.
• Facilitate regular communication between internal team’s members to maintain transparency and momentum.
• Prepare and maintain project documentation, including status reports, meeting notes, and action items.
• Identify potential risks or delays and escalate them proactively to senior leadership.
• Support in creating client presentations, campaign briefs, and performance summaries.
• Understands and has basic knowledge of ML to create models.