Shalini Patel
Providence,RI
Summary
Data-driven Software Developer with 5+ years of C#/.NET experience and a Master’s in Data Analytics, seeking Data Analyst or Data Scientist opportunities. Combines strong software engineering fundamentals with statistical analysis, machine learning, and data visualization to deliver scalable, insight-driven solutions. Highly motivated, detail-oriented, and effective in collaborative environments.
Overview
1
1
Certification
Work History
Module Lead
LTI/Mindtree | Client: Unilever
- Led the modernization of enterprise applications by analyzing legacy .NET Framework (ASPX-based) monolithic systems and driving migration to a microservices architecture, improving scalability, maintainability, and data accessibility.
- Designed and implemented service-level data architectures, creating independent databases, stored procedures, and schema definitions for each microservice to enable clear data ownership and efficient data retrieval.
- Orchestrated and coordinated microservices workflows to deliver end-to-end business functionality while ensuring data consistency, integrity, and performance across services.
- Defined and documented API specifications, data schemas, and service contracts, enabling reliable data exchange and analytics-ready interfaces.
- Integrated applications with Azure Data Services, Azure Active Directory, and cloud-based components, supporting secure, scalable data pipelines and cloud-native deployments.
- Oversaw integration testing and data validation, ensuring correctness of inter-service communication, database transactions, and analytical outputs.
- Acted as the primary client-facing technical lead, managing support activities, requirement clarifications, and solution alignment with business and data needs.
- Introduced and reinforced Agile/Scrum methodologies and development best practices, improving delivery velocity, code quality, and cross-team collaboration.
- Collaborated closely with project managers to define realistic milestones, database development timelines, and delivery scope, balancing technical complexity with business priorities.
- Mentored team members on clean architecture, data modeling, and API design, strengthening overall team capability and solution quality.
Application Development Analyst
Accenture | Client: Takeda Pharmaceutical Company Ltd.
- Designed and developed data-driven enterprise applications using C#, .NET Core, ASP.NET MVC, REST APIs, and SQL Server, supporting analytics-enabled workflows in a regulated pharmaceutical environment.
- Built, optimized, and maintained relational databases, SQL queries, and stored procedures to enable reliable data extraction, transformation, and reporting across multiple systems.
- Integrated applications with Azure Data Services, Azure AI Services (LUIS, QnA Maker), and third-party platforms (OneTrust, Twilio, Microsoft Dynamics 365 via OData, ConnectWise), enabling ingestion and processing of structured and semi-structured data.
- Developed and tested chatbots and NLP-based solutions, supporting automated information retrieval, user interaction analytics, and conversational data insights.
- Performed integration testing, data validation, and quality checks to ensure accuracy, consistency, and reliability of application and analytical outputs.
- Collaborated with business stakeholders to translate functional requirements into technical and data requirements, contributing to system documentation, data flow definitions, and reporting needs.
- Supported client-facing activities, production support, and issue resolution with a focus on data integrity, system reliability, and compliance.
- Worked in Agile/Scrum environments, coordinating with project managers on development milestones, database timelines, and scope planning to deliver analytics-ready solutions.
- Applied software engineering best practices to enhance scalability, maintainability, and data accessibility across applications.
System Engineer Trainee & Software Developer
Infosys Ltd.|Client: Westpac Banking Corporation
- Designed, developed, and tested data-driven enterprise applications using C#, .NET Core, ASP.NET MVC, REST APIs, and SQL Server, supporting banking and financial services use cases.
- Built and maintained Open Banking APIs including Consent Grant workflows, OTP generation, and automation scripts, ensuring secure data exchange and regulatory compliance.
- Designed and optimized relational databases, SQL queries, and stored procedures to support application logic, reporting needs, and data retrieval for analysis.
- Developed chatbot and AI-enabled applications using Microsoft Bot Framework, Azure Cognitive Services (LUIS, QnA Maker, Speech) to enable NLP-based user interaction and automated information access.
- Integrated applications with CRM systems, cloud services, and configurable data connectors, enabling ingestion and processing of structured and semi-structured data.
- Compiled, processed, validated, and analyzed test and operational data to improve system quality, performance, and reliability.
- Collaborated with stakeholders to translate business requirements into technical and data requirements, contributing to documentation, data models, and system design.
- Supported integration testing, data quality checks, and production support, ensuring accuracy and consistency of data across systems.
- Worked in Agile/Scrum environments, coordinating with project managers on development milestones, database timelines, and scope delivery.
- Built a strong foundation in OOP, SQL/PL-SQL, Unix, and full-stack development, completing a full-stack project with a 90% assessment score during initial training.
Education
Bachelor of Engineering (BE) - Computer Science and Engineering
Sagar Institute of Research And Technology
Bhopal, Madhya Pradesh05-2019
Master of Science - Data Analytics
Johnson & Wales University
Providence, RI05-2026
Skills
- Python: Pandas, NumPy, SciPy, scikit-learn (data manipulation, statistical analysis, modeling)
- Data Analysis & Processing: Data cleaning, transformation, validation, feature engineering
- SQL & Analytics: Advanced SQL querying, joins, aggregations, performance optimization
- Machine Learning & AI: Azure Cognitive Services (LUIS, QnA Maker, Speech), Azure OpenAI, ChatGPT fine-tuning, NLP pipelines
- Data Pipelines & Integration: API-based data ingestion, ETL concepts, structured and semi-structured data processing
- BI & Reporting: Power BI, Tableau
- Relational Databases: MS SQL Server, MySQL
- NoSQL & Cloud Databases: Azure Cosmos DB
- Data Access: Stored procedures, views, indexing, query optimization
- Cloud Platforms: Microsoft Azure
- Data & AI Services: Azure Data Services, Azure Functions, Azure App Services
- AI & ML Infrastructure: Azure Kubernetes Service (AKS), Azure Bot Service
- Security & Identity: Azure Active Directory
- Languages & Frameworks: C#, NET Core / NET Framework, ASPNET MVC, Web APIs, Nodejs, JavaScript
- Architecture: Microservices, RESTful APIs, Docker
- Automation & Deployment: Azure PowerShell, ARM Templates, CI/CD concepts
- Version Control & DevOps: GitHub
- Modeling & Documentation: Microsoft Visio, Drawio, XMind
- Agile Methodologies: Scrum, sprint planning, backlog grooming
- IIS
Accomplishments
AZ-900: Microsoft Azure Fundamentals
Transcript ID: 1333225
Access Code: az900shalaug
Transcript Viewing Page: https://mcp.microsoft.com/Anonymous//Transcript/Validate
Certification
- AZ-900: Microsoft Azure Fundamentals, 1333225, az900shalaug, https://mcp.microsoft.com/Anonymous/Transcript/Validate
- AI/ML certification
Languages
English
Full Professional
Hindi
Native or Bilingual
Timeline
Module Lead
LTI/Mindtree | Client: Unilever
Application Development Analyst
Accenture | Client: Takeda Pharmaceutical Company Ltd.
System Engineer Trainee & Software Developer
Infosys Ltd.|Client: Westpac Banking Corporation
Bachelor of Engineering (BE) - Computer Science and Engineering
Sagar Institute of Research And Technology
Master of Science - Data Analytics
Johnson & Wales University
Personal Information
Title: Software Developer & Data Analyst
Interests
Enjoy non-fiction reading and continuous learning. Passionate about experimentation—both in cooking and data exploration. Active sports enthusiast with competitive experience in volleyball at the inter-college level, fostering teamwork, discipline, and strategic thinking.