Pratyusha Biswas

Pratyusha Biswas

Bangalore

With 7 years of experience and a drive rooted in determination and resilience, I bring both technical depth and genuine care for people to every project I take on — most recently developing a Real-Time Gesture Recognition System that reflects my passion for purposeful, hands-on innovation. I approach my work with a quiet diligence and structured mindset, staying grounded in practical outcomes while keeping an eye on the bigger picture. Whether collaborating with a team or building independently, I hold myself to a high standard while remaining kind and dependable in everything I do.

Open to

Bangalore

Work style

remote, hybrid, onsite

Availability

Available in 14 days

Identity verified by DigiLocker
Contact details — on requestProof of Work — on request

Experience

P

Real-Time Gesture Recognition System

Personal Project · Feb 2026 – Feb 2026

Not yet confirmed
  • Designed and implemented a real-time hand gesture recognition system using OpenCV and MediaPipe to capture 3D landmark coordinates and translate natural hand movements into programmable interaction commands.
  • Built a feature extraction and classification pipeline to accurately map predefined gestures to audio control actions, optimizing processing speed to maintain low latency and stable real-time performance.
  • Integrated the recognition framework with a dynamic audio playback engine, ensuring seamless gesture-based control under varying lighting conditions while maintaining robustness and high frame accuracy.
P

Overthinking Simulator | Interactive Web Visualization

Personal Project · Dec 2025 – Dec 2025

Not yet confirmed
  • Designed and developed an interactive web-based visualization system that simulates recursive human decision-making patterns by dynamically generating multi-level branching structures using structured JavaScript logic and state-based rendering.
  • Implemented advanced node expansion algorithms with adaptive spatial positioning and collision detection mechanisms to prevent visual overlap, ensuring clarity and scalability during continuous recursive growth of complex decision trees.
  • Integrated animated transitions, depth-aware traversal logic, and responsive UI rendering techniques to model layered cognitive reasoning processes while maintaining performance efficiency and an intuitive user interaction experience.
P

AI-powered Moodboard Generator | Image Processing & Unsupervised Learning

Personal Project · Nov 2025 – Dec 2025

Not yet confirmed
  • Developed an AI-powered moodboard generation system using Python and external image APIs to dynamically curate and assemble themed visual collections based on user-defined keywords and contextual aesthetic preferences.
  • Implemented K-Means clustering for dominant color extraction and built an automated layout rendering pipeline to generate visually balanced compositions with structured spatial alignment and color harmony.
  • Designed modular backend architecture with robust input validation, exception handling, and optimized processing workflows to ensure scalable performance and consistent high-resolution output generation.
A

Event Booking System | Full-Stack (MERN)

Academic Project · Nov 2025 – Nov 2025

Not yet confirmed
  • Designed and developed a full-stack event booking platform using the MERN stack, enabling users to browse events, manage reservations, and securely complete ticket transactions through a responsive and scalable web interface architecture.
  • Architected RESTful APIs with JWT-based authentication and role-based access control, ensuring secure session handling, protected route management, and structured communication between distributed frontend and backend components.
  • Engineered optimized MongoDB schemas and implemented transactional booking workflows with concurrency control mechanisms to prevent overbooking while maintaining real-time availability updates and database consistency.
I

Capstone Project | Data Analysis & Dashboarding (Python, SQL, Cognos)

IBM Data Analyst Professional Certificate · Jul 2025 – Aug 2025

Not yet confirmed
  • Performed end-to-end data analysis including data collection, cleaning (Python/SQL), and exploratory analysis.
  • Created visualizations using Matplotlib and Seaborn to extract actionable insights.
  • Built interactive dashboards in IBM Cognos Analytics for business reporting.
IBM

Data Analyst Professional Certificate

IBM · Jul 2025 – Aug 2025

Not yet confirmed
  • 11-course Specialisation; gained practical experience in Python, SQL, Excel, and Cognos Analytics through real-world projects, involving data cleaning, analysis, visualization, and building interactive dashboards to present insights effectively.
  • Learned key concepts of data analytics, roles, and the data lifecycle.
  • Applied Excel functions, pivot tables, and charts for basic analysis.
  • Built interactive dashboards and reports to present insights.
  • Gained programming skills in Python for data manipulation and automation.
  • Completed a hands-on project applying Python to analyze and visualize data.
  • Used SQL to query, filter, and manage structured datasets.
  • Conducted exploratory data analysis and statistical testing using Python libraries.
  • Created impactful visualizations with Matplotlib, Seaborn, and Folium.
  • Performed end-to-end analysis and dashboarding on a real-world dataset.
  • Explored how generative AI can enhance efficiency in analytics.
  • Built professional profiles, resumes, and prepared for data analyst interviews.
K

Minor Project | Cat breed classification using CNN

KIIT Bhubaneshwar · Dec 2024 – Mar 2025

Not yet confirmed
  • Designed and trained a deep learning-based image classification system using MobileNetV2 with transfer learning to accurately distinguish between multiple cat breeds across diverse real-world image conditions and backgrounds.
  • Built a comprehensive preprocessing and optimization pipeline including resizing, normalization, augmentation, and selective layer fine-tuning, improving model generalization, stability, and validation performance.
  • Developed a Flask-based RESTful API for secure image upload and real-time inference, integrating backend prediction logic with a responsive frontend interface that displays structured outputs and confidence scores.

Skills 0 proven through work

Also works with

Web ResearchWork Planning and PrioritizationPower BIExploratory Data Analysis (EDA)Front-end DevelopmentCSSGesture Recognition System DevelopmentMediaPipe Framework UsageOpenCV Library UsageMachine Learning ApplicationImage ProcessingK-Means ClusteringAPI-Based Data CollectionBug FixingTraining Data CreationComputer Vision ModelingDeep Learning

Proof of Work

Proof of Work

Pratyusha shares this with people who ask. You'll hear back either way.

Education

B.Tech, Computer Science and Engineering

Kalinga Institute of Industrial Technology Bhubaneshwar · 2022 — 2026

12th, Secondary Education

DAV Public School, Kaniha · 2020 — 2022

10th, General Studies

DAV Public School, Kaniha · 2019 — 2020

Contact details

Contact details

Pratyusha shares this with people who ask. You'll hear back either way.

Ask about this candidate

AI responses may contain errors. Proof status and source information are provided by Proof of Skill.

A Proof CV — one profile, kept current, with the proof attached. Back to the portal