Alfiya Farheen

Computer Science postgraduate with experience in data analysis, SQL, Python, reporting, workflow analysis, data visualization, and data-driven problem solving. Skilled in preparing and validating structured data, identifying trends, supporting data-driven decisions, and communicating analytical findings through clear visualizations and reports.

Experience with stakeholder coordination, requirement understanding, process improvement, and technical implementation support, with additional research in machine learning and Generative AI.

Software / Product Implementation Intern — OPD Implementation Team - Medoc Health IT Pvt. Ltd.

(2025-09 - 2026-02)

• Used Python and SQL to analyze operational data, workflow timings, token movement, patient-status transitions, and department-specific process patterns.
• Prepared, interpreted, and validated structured data to identify workflow gaps and support implementation decisions.
• Mapped user journeys and operational workflows to translate requirements into structured workflow rules and configurations.
• Worked with REST APIs and JSON configurations to support product customization and implementation activities.
• Supported data-driven reporting and workflow analysis using Excel and Google Sheets.
• Coordinated implementation tasks and follow-ups using JIRA while working with stakeholders involved in deployment activities.
• Validated configuration changes against expected workflow behavior and supported resolution of identified process issues.
• Contributed to the project "Data-Driven Workflow Reconfiguration for OPD System," focused on adapting digital workflows to changing operational conditions.

M.Tech - Computer Science & Engineering - DAYANANDA SAGAR UNIVERSITY (2024 - 2026) Bengaluru, Karnataka

B.E.

• Computer Science & Engineering - ANJUMAN COLLEGE OF ENGINEERING & TECHNOLOGY (2019 - 2023) Nagpur, Maharashtra

12th - INDIAN OLYMPIAD & JR. COLLEGE, MSBSHSE (2019) Nagpur, Maharashtra

10th CBSE - ST. VINCENT PALLOTTI SCHOOL (2017)