Anushka S

Product-minded AI/ML Engineer and final-year engineering student (graduating May 2027) with hands-on experience across the full product lifecycle — from product strategy, user interviews, and requirements to specs, roadmapping, and cross-functional leadership through build, launch, and iteration. Certified in Product Management (Jobaaj Learnings – Premium Award, 2026) with a strong analytical foundation from shipping multiple data-driven products end-to-end, writing user stories, mapping customer journeys, defining KPIs, and using SQL-driven metrics to guide improvements. Comfortable translating complex technical concepts into clear, user-facing decisions and leading cross-functional collaboration with engineering in fast-paced environments.

Product Lead & AI Engineer - Smart India Hackathon (SIH 2025) | PM Internship Scheme 2025

(2025)

Internship Allocation Platform

• Spearheaded product strategy and roadmap for a government-aligned allocation system, defining core requirements and feature priorities.
• Conducted user interviews and journey mapping to identify pain points in manual allocation workflows, translating findings into user stories and structured product specs.
• Led cross-functional collaboration with a 4-person engineering team on a student-to-opportunity matching engine, running weekly syncs that kept sprint delivery on schedule.
• Improved allocation accuracy by 30% and cut allocation time by 40% against manual baselines by tracking launch performance metrics and using data to guide iteration.
• Delivered a REST API-integrated backend enabling real-time data exchange across 200+ simulated allocation records, communicating product benefits to technical and non-technical stakeholders.

Product Owner & Developer - Personal Project

(2026-04)

Credit Risk Prediction System

• Managed the full product lifecycle from ideation to deployment, defining requirements and success metrics (Precision, Recall, F1-score, ROC-AUC).
• Scoped features relevant to non-technical, business-facing stakeholders through user interviews and journey mapping into lending workflows.
• Reached 85% model accuracy using advanced SQL querying and Pandas for EDA, then tracked KPIs post-launch to identify product improvements.
• Shipped an interactive Streamlit + REST API application, translating a technical model into a usable, decision-ready product.

Developer & Product Thinker - Personal Project

(2025-05)

Resume Parser (NLP)

• Identified manual screening inefficiencies and prioritized a streamlined MVP feature set through targeted user stories.
• Built and launched a full-stack Streamlit application with REST API for real-time structured data extraction (name, email, phone, skills) from resumes.
• Cut manual data-extraction effort by 50%, improving candidate screening throughput for end users.

Developer - Personal Project

(2025-05 - 2025-06)

Online Expense Tracker

• Ran usability research to inform a GUI-based finance tool with monthly filtering, budgeting alerts, and pie-chart reporting.
• Implemented SQL-backed SQLite pipelines and a Tkinter interface with edit/delete flows and budget-threshold alerts, iterating on user feedback.

B.Tech - Artificial Intelligence & Machine Learning - Don Bosco Institute of Technology, Bangalore (2027-05)