Kunal Sood .

Data Scientist

Leveraging data and AI to build impactful intelligent systems.

I'm Kunal Sood, a Data Scientist specializing in machine learning, deep learning, and computer vision. I focus on turning complex data into clear insights, building and evaluating models, and using statistical and ML techniques to drive measurable impact in real-world problems.

⚙️ DRDO · Data Scientist Intern 🧠 Omdena · ML Engineer Part Time 🎓 B.Tech CSE (AI & ML)
Kunal Sood

Kunal Sood

Data Scientist

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Model Performance

Recent project metrics

Sign Language Classifier 94% acc
Plant Species Classifier 98% acc

Adversarial NN · Encryption Robustness

Exploring encoder–decoder–attacker architectures to strengthen cryptographic systems under adversarial conditions.

Skills at a Glance Core Stack

Machine Learning & Visualization

Predictive modeling & experimentation

Python Pandas NumPy Scikit-learn SciPy Matplotlib Seaborn

Deep Learning & Computer Vision

Vision, sequence models & adversarial NN

TensorFlow Keras PyTorch OpenCV Scikit-Image

Data · Cloud · Leadership

Deployable data products & stakeholder alignment

MySQL Bash Scripting BigQuery GCE Cloud Storage
Program Management Product Thinking Community Building

Featured Projects

Curated selection of applied ML, DL & AI work

InterviewJinni – AI Interview Platform

Built an AI-driven mock interview platform that provides real-time analytics, structured feedback, and performance tracking across multiple interview sessions.

LLM NLP Python Analytics

GuruJi – Rapid MOOC Generator (Patent Filed)

Created a rapid course creation tool that reduces MOOC development time from days to minutes using automated content generation aligned with curricula.

Content AI Computer Vision Bash Scripting NLP Python

ShineMate – Intelligent Cleaning Robot (Design Patent)

Developed a POC for an autonomous cleaning robot with navigation, obstacle detection, and air-quality monitoring using sensor fusion and CV techniques.

Computer Vision Robotics Python

FoliageAI & BCG Data Science Simulation

FoliageAI: built a tree species classifier achieving 98% accuracy. BCG simulation: engineered features and trained a Random Forest model for churn prediction with 85% accuracy.

Classification Random Forest Scikit-learn

Experience

AI Intern · Softel, Noida

Mar 2026 – Present

  • Developing deep learning pipelines for an autonomous AI agent to fetch and analyze real-time spatial data using Earth2.

Data Scientist Intern · DRDO, New Delhi

Aug 2025 – Jan 2026

  • Engineered adversarial neural networks (TensorFlow/PyTorch) to bolster encryption robustness.
  • Analyzed cipher-text & plain-text datasets to identify security patterns.
  • Optimized encoder–decoder–attacker architectures with custom loss functions.

Machine Learning Engineer · Omdena (Remote)

Jan 2025 – Apr 2025

  • Engineered ML components that estimate, analyze, and reduce SME carbon footprints through data-driven insights.
  • Aggregated & preprocessed 60k+ multi-source sign language samples (images, videos, landmarks).
  • Trained CNN & LSTM models, improving accuracy from 75% to 94% on a refined dataset.
  • Designed NLP preprocessing pipelines for real-time sentiment understanding.

Research Intern · Globus Eight, Gurugram

Jul 2024 – Aug 2024

  • Researched ethical deepfake applications and constructive use-cases.
  • Developed lip-sync and audio-video sync models for realistic talking avatars.

About & Education

I specialize in transforming data into scalable, real-world solutions. My work spans predictive modeling, deep learning, computer vision, and applied AI, with a strong focus on building systems that deliver measurable impact. I enjoy solving complex problems at the intersection of analytics, engineering, and product, turning raw data into actionable intelligence.

B.Tech · Computer Science & Engineering (AI & ML)

Shri Vishwakarma Skill University, Haryana · CGPA: 8.5/10

Relevant coursework: OOP, DSA, Databases, Machine Learning, Deep Learning, Data Analytics, Quantum Computing.

🏛 Presented AI projects (GuruJi, ShineMate, InterviewJinni) to the Hon'ble Governor & Hon'ble Chief Minister of Haryana.

📊 Advised on Haryana State Budget 2025–26 with a focus on technology-led governance.

🚀 Founded and led GDG on Campus (GDGoC SVSU), organizing AI & Google tech workshops.

Certifications

Data Scientist

DataCamp

Machine Learning Specialization

Coursera

Neural Networks & Deep Learning

Coursera

Improving Deep Neural Networks

Coursera

Structuring ML Projects

Coursera

SQL for Data Science

Coursera

ML 101 (Scikit-learn & StatsModels)

Udemy

100 Days of Code: Python Pro Bootcamp

Udemy

Contact

Open to data science, ML engineering, and AI research roles, as well as collaborations on impactful AI projects.