I’m a Data Scientist specializing in machine learning, deep learning, and computer vision.
I enjoy turning messy, high-dimensional data into clear insights and robust models that create measurable real-world impact.

• Design end-to-end ML workflows – from data collection and cleaning to training, evaluation, and reporting
• Build and experiment with deep learning models for vision and sequence tasks
• Analyze results, communicate insights, and align solutions with product and business goals

Core: Python, C/C++, Bash
Data & ML: NumPy, Pandas, SciPy, Scikit-learn, StatsModels
Deep Learning & CV: TensorFlow, Keras, PyTorch, OpenCV, Scikit-Image
Visualization: Matplotlib, Seaborn
Data & Cloud: MySQL, BigQuery, Google Compute Engine, Cloud Storage
Tools: Git/GitHub/GitLab, Jupyter, Linux
Also: Program & product thinking, stakeholder communication, technical writing, community building

AI-driven mock interview platform that provides real-time analytics, structured feedback, and performance tracking across sessions.
LLM · NLP · Analytics · Python

Rapid course creation tool that reduces MOOC development time from days to minutes using automated content generation aligned with curricula.
Content AI · NLP · Python · Bash · EdTech

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: Tree species classifier achieving 98% accuracy on curated data
• BCG Simulation: Churn prediction pipeline using Random Forest, reaching 85% accuracy with strong feature engineering
  Classification · Random Forest · Model Evaluation · Scikit-learn

Data Scientist Intern · DRDO, New Delhi
Aug 2025 – Present

• Engineering adversarial neural networks (TensorFlow/PyTorch) to strengthen encryption robustness
• Analyzing cipher-text and plain-text datasets to discover security patterns
• Optimizing encoder–decoder–attacker architectures with custom loss functions

Machine Learning Engineer (Part-Time) · Omdena (Remote)
Jan 2025 – Apr 2025

• Built ML components for CarbonAgents, an AI-powered carbon management solution helping SMEs understand and reduce their carbon footprint
• Aggregated & preprocessed 60k+ multi-source sign language samples (images, videos, landmarks)
• Trained CNN & LSTM models, boosting accuracy from 75% → 94% on a refined dataset
• Designed NLP preprocessing pipelines for real-time sentiment and text 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

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

• Machine Learning Specialization — Coursera
• Neural Networks and Deep Learning — Coursera
• Improving Deep Neural Networks (Hyperparameters, Regularization & Optimization) — Coursera
• Structuring Machine Learning Projects — Coursera
• SQL for Data Science — Coursera
• Machine Learning 101 with Scikit-learn & StatsModels — Udemy
• 100 Days of Code: The Complete Python Pro Bootcamp — Udemy

• Presented AI projects (GuruJi, ShineMate, InterviewJinni) to the Hon’ble Governor and Hon’ble Chief Minister of Haryana
• Contributed insights to the Haryana State Budget 2025–26, focusing on technology-led governance
• Founded and led GDG on Campus (GDGoC SVSU), organizing AI and Google tech workshops, talks, and hackathons

• 📧 Email: ksood315@gmail.com
• 🧑‍💻 GitHub: github.com/soodkunal
• 🔗 LinkedIn: linkedin.com/in/kunal-sood-3b993225b

Open to Data Scientist / ML roles, research collaborations, and impactful AI projects.