Siddharth Kalra
Summary
Data Science and AI enthusiast with hands-on experience in machine learning, computer vision, and real-time anomaly detection systems. Skilled in Python, deep learning, and data analysis with a strong mathematical foundation. Proven ability to apply advanced algorithms in impactful projects and internships. Passionate about building intelligent solutions with a research-driven and critical thinking approach.
Overview
1
1
year of professional experience
Work History
Data Analyst Intern
Tare Zameen Foundation
Delhi
04.2025 - 05.2025
- Analyzed survey and outreach data to support child welfare and education programs.
- Created automated data dashboards using Python (Pandas, Matplotlib) for internal reporting.
- Supported impact assessment by cleaning and visualizing datasets from NGO field operations.
- Helped generate data-driven insights for funding and donor reports, using statistical summaries.
Data Science Intern
Miraz Securitas Pvt Ltd
Delhi
06.2024 - 08.2024
- Developed an AI-powered CCTV Anomaly Detection System using YOLO and TensorFlow.
- Achieved 20% reduction in false positives via optimization techniques and deep learning architectures.
- Built Stable Diffusion models from scratch in PyTorch, exploring inpainting and classifier-free guidance.
Education
Bachelor of Science - Computer Science
PGDAV College, University Of Delhi
New Delhi, India06-2026
Skills
- Machine Learning & AI: Supervised & Unsupervised Learning, Deep Learning, CNN, RNN, YOLO, Transfer Learning, Diffusion Models, Model Optimization
- Data Analysis: Exploratory Data Analysis (EDA), Data Cleaning, PCA, LDA, Cross-Validation, Feature Engineering, XGBoost, Pandas, NumPy
- Critical Thinking & Research
- Computer Vision: OpenCV, TensorFlow, PyTorch, Real-Time Video Processing, Anomaly Detection, Image Segmentation, Stable Diffusion, Object Detection (YOLO, Faster R-CNN)
- Mathematical Foundation: Linear Algebra, Multivariate Calculus, Probability, Optimization Techniques, Statistical Learning
Projects
Smart CCTV Anomaly Detection System
- Built real-time system using OpenCV, TensorFlow, CNN, and RNN; achieved 95% detection accuracy.
Diffusion-Based Image Generation
- Implemented Stable Diffusion using PyTorch; applied inpainting and classifier-free guidance techniques.
Pupil Insights (In Progress)
- AI-powered background screening tool leveraging NLP to flag risks in digital footprints and profiles.
Spotify to YouTube Music Playlist Converter
- Automated script-based tool with API integration to migrate playlists between platforms.
Certifications
- Machine Learning Specialization – Stanford Online & DeepLearning.AI
- Mathematics for ML – Imperial College London
- Statistical Linear Models – Udemy
- AI/ML for Geodata Analysis – ISRO
- Machine Learning Training – IIT Bombay
Timeline
Data Analyst Intern
Tare Zameen Foundation
04.2025 - 05.2025
Data Science Intern
Miraz Securitas Pvt Ltd
06.2024 - 08.2024
Bachelor of Science - Computer Science
PGDAV College, University Of Delhi
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