Boston University
Master of Science, Applied Business Analytics
Graduate study focused on analytics, machine learning and data-driven decision making in business contexts.
Antara Sudhir · MS in Applied Business Analytics
Data In.
Direction Out.
Applied Business Analytics student with hands-on experience across the full analytics pipeline. I specialize in transforming raw, complex data into insights that actually drive business decisions - not just reports that get filed away.
About
I work at the intersection of data engineering and analytics: Medallion architectures in Microsoft Fabric, automated ETL with Python and SQL, and Power BI reporting that stakeholders can rely on.
Previously at iLink Digital, I delivered client-facing solutions across the full data lifecycle — migrating 40+ SQL Server objects into Fabric, gathering requirements, troubleshooting, and keeping deliverables on time. I'm now pursuing an M.S. in Applied Business Analytics at Boston University, focused on sharpening one thing: turning technical depth into business clarity.
Experience
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Software Engineer
iLink Digital
- Recreated 40+ SQL Server stored procedures and scalar functions in Microsoft Fabric Warehouse to support client data migration and reporting.
- Delivered client-facing solutions through extraction, cleaning, and structured tables and reports in Microsoft Fabric.
- Implemented a three-layer Medallion architecture to improve data quality, reliability, and reporting efficiency.
- Partnered with clients and two cross-functional teams on requirements, troubleshooting, and timely, accurate reporting.
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Software Engineer Trainee
iLink Digital
- Recognized with the iLink Digital Award — Rising Star for quality of work and appreciation from leadership and clients.
- Executed data pipelines using Medallion architecture for scalable analytics.
- Performed cleaning, validation, and transformation in automated ETL with Python and SQL across multiple sources.
- Built automation scripts to streamline Excel workbook creation and improve reporting efficiency.
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Data Intern
iLink Digital
- Shadowed three senior analysts on data preparation, validation, and analysis workflows.
- Extracted data from four sources via pipelines, with cleaning and transformation for high-quality datasets.
- Developed two collaborative demos for industry verticals, including oil and gas.
- Gained hands-on experience with Databricks, Python, SQL, Azure, Snowflake, Microsoft Fabric, and Power BI on real analytics work.
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Project Intern
FS Engineers Pvt. Ltd
- Coordinated soil exploration projects for an engineering consultancy.
- Liaised between clients and senior management on requirements.
- Oversaw creation and submission of soil findings reports on schedule.
- Managed and followed up on payments after project completion.
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Intern
Chennai Volunteers (NGO)
- Collated and shared verified information via the CV COVID Resource Guide to help citizens find critical resources during COVID-19.
- Led collaboration with the Coalition team and five interns on deliverables, task delegation, performance reporting, and time management.
- Coordinated communication between three senior leaders and five interns.
Education
University of London · Singapore Institute of Management
Bachelor of Science (Honors), Economics and Management
Certifications & Awards
Certifications
- Microsoft Certified: Power BI Data Analyst Associate
- Databricks Certified Data Engineer Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Generative AI Fundamentals — Databricks Academy Accreditation
- Databricks Lakehouse Fundamentals — Databricks Academy Accreditation
- Bright Network Internship Experience UK
- Accenture Data Analytics and Visualization Virtual Experience (Forage)
Awards
- Winner — 12th ABA@BU Hackathon · Boston University Mar 2026
- Rising Star Award (BU: Data & RPA) · iLink Digital Aug 2025
Highlights
Selected project work—from hackathon analytics to production data engineering.
Hackathon · Winner
ABA@BU — Intertemporal choice & subscription strategy
Business question: How do people trade off immediate convenience versus long-term value—and how can we use that to support tier optimization, customer lifetime value, and personalized engagement? The competition framed this using digital streaming (e.g., ad-supported vs. premium tiers).
With Team Coding Rookie, I worked on a reproducible analytics pipeline on a large-scale intertemporal-choice dataset (800k+ trials in our build; 1M+ observations in the competition materials), with choices between sooner-smaller and later-larger rewards, response times, and experimental context. We delivered EDA, feature engineering, and predictive models (logistic regression, random forest, XGBoost), tied findings to subscription-tier pricing and messaging (e.g., reward-ratio “tipping” behavior)—and presented live per the hackathon brief (business application + methodology).
Data engineering
Medallion architecture & Fabric migration
Three-layer Medallion design in Microsoft Fabric; migration of 40+ SQL Server procedures and functions for client reporting and data quality.
Demos
Industry vertical demos
Built two collaborative demos tailored to industry verticals, including oil and gas, during the Software Engineer Trainee program at iLink Digital.
Technical skills
Languages
Data engineering
Visualization & reporting
Workflow & DevOps
Contact
Open to roles in analytics, data engineering, and BI.