Ruchika Nayak

About Ruchika Nayak

I work across AI, Data Science and Computer Vision, with hands on experience in building and validating real world intelligent systems.With a strong foundation in data analysis and machine learning. I have worked on data-driven problem solving, including model building, data processing, and extracting actionable insights from structured and unstructured data.In my current work, I focus on Computer Vision and drone based systems, where I have prepared and annotated large scale datasets, developed Python based data pipelines, and performed model evaluation for object detection and tracking.I have conducted comparative analysis of tracking approaches, identifying real world challenges such as tracking instability and identity switching during live flight scenarios.Additionally, I am actively involved in Validation & Verification, Drone Software Testing, and VAPT, contributing to system performance validation, debugging, and security assessment.Core Skills: Python, SQL, Data Analysis, Machine Learning, Computer Vision, Object Detection & Tracking, V & VI am interested in opportunities in AI, Data Science, and Computer Vision roles, particularly in domains involving real-world systems such as drones and robotics.

Experience

1. Perception & V & V Engineer Trainee

   ideaForge

   Oct 2025 — Present · Navi Mumbai, IN

   Prepared and annotated large-scale thermal and daylight datasets for model training and V&V using Label Studio.Developed Python scripts for automated frame extraction, improve efficiency and reducing redundant data processing.Conducted comparative analysis of object tracking algorithms across real world drone flight scenarios, identifying failure cases and performance gaps.Participated in live drone flight testing, coordinating with pilots, capturing BFV logs, and analysing tracking performance.Performed dyal-model tracking analysis, identifying issues like identity switching and tracking instability.Designed and executed structured test cases for payload systems, contributing to integration and validation workflows.Conducted VAPT on payload software, identifying security risks and validating system robustness.Built prototype automation solutions including auto- labelling models for thermal and daylight imagery. RAG based system for CSV/log analysis.Generated detailed reports and analytical sheets to support debugging and model improvement cycles.

Education

• Government Automous College Rourkela

  Bachelor of Science - BS, Mathematics and Statistics

  2018 — 2021

• Manipal Academy of Higher Education

  Master's degree, Data Science

• AlmaBetter

  Data Science