M.Sc. Data Science & Management
Indian Institute of Technology, Ropar &
Indian Institute of Management, Amritsar
I am a Data Science and Management postgraduate student with professional experience in Data Science and Python development, AI/ML integration, workflow automation and data-driven solutions.
My experience includes developing Python-based tools and plugins, integrating open-source AI models into VFX production pipelines, and building Transformer-based time-series forecasting models as a research intern at IIT Ropar.
My technical interests span Data Engineering, Machine Learning, Deep Learning, Computer Vision, and cloud-based data platforms.
| Programming & Data | Python, SQL, Pandas, NumPy, Exploratory Data Analysis |
| Data Engineering | Microsoft Fabric, Lakehouse Architecture, Medallion Architecture, PySpark, Delta Lake, Semantic Modelling, Data Cleaning and Transformation |
| AI & Machine Learning | Hugging Face, Stable Diffusion, Generative AI, Regression, Classification, Clustering, PCA |
| Deep Learning | Neural Networks, PyTorch, CNN, RNN, Transformer Models |
| Computer Vision & Image Processing | OpenCV, Computer Vision, Image Processing, Video Processing |
| Automation & Development | Workflow Automation, Plugin Development, Tool Development, Model Integration, API Integration |
| Data Visualisation | Tableau, Matplotlib, Seaborn |
| Tools | Git, GitHub, Jupyter Notebook, PyCharm, Excel, Linux |
Research project focused on short-term and long-term soil moisture forecasting using Transformer-based time-series models.
- Compared Vanilla Transformer, PatchTST, iTransformer, and Cluster-Based Transformer architectures.
- Developed a behaviour-aware forecasting framework using K-Means clustering and specialist Transformer models.
- Performed feature engineering, hyperparameter tuning, and model evaluation.
- Improved forecasting accuracy over Transformer models while outperforming the naive baseline.
Technologies: Python, PyTorch, Transformers, K-Means Clustering, Time-Series Forecasting
Developed an automated pipeline for generating 3D models from multi-view image datasets using Meshroom.
- Automated a 13-stage reconstruction workflow, including feature extraction, mesh processing, and texturing.
- Implemented batch processing for automated execution across multiple datasets.
- Generated structured intermediate outputs and tracked processing time to reduce manual intervention.
Technologies: Python, Meshroom, Computer Vision, Video Processing, Workflow Automation
Data Scientist — Stravan Technologies, Bengaluru
June 2023 – January 2025
- Developed Python scripts, tools, and plugins to automate VFX production workflows.
- Integrated open-source AI/ML models, including Stable Diffusion, into production and pre-production workflows.
- Built tools for AI integration into existing applications, including dependency management, API integration, testing, and optimisation.
- Collaborated with artists and production teams to improve workflow reliability and reduce manual effort.
Research Intern — Indian Institute of Technology, Ropar
May 2026 – June 2026
- Developed Transformer-based time-series forecasting models for soil moisture prediction using PyTorch.
- Built a behaviour-aware forecasting framework using K-Means clustering and specialist Transformer models.
- Performed feature engineering, hyperparameter tuning, and model evaluation.
- M.Sc. Data Science & Management — IIT Ropar & IIM Amritsar (2025–2027)
- Bachelor of Architecture — School of Planning and Architecture, Vijayawada (2017–2022)
Building practical solutions through data science, automation, and intelligent systems.