🎓 Data Scientist with a background in computational physics, bringing a passion for solving complex business problems through data-driven insights. With experience spanning across data analytics, machine learning, and computational modeling, I have worked on projects in fields like healthcare, precision agriculture, climate change, and credit risk modeling.
With over a year of experience in data science and machine learning, I specialize in applying statistical analysis and advanced machine learning techniques to address real-world challenges. My prior research experience in computational physics adds a strong foundation in mathematical and computational modeling, enabling me to tackle problems in various domains.
In my research career, I authored seven publications on computational materials modeling, presented at international conferences, and contributed to the Deep Underground Neutrino Experiment (DUNE) at Fermilab, simulating neutrino-matter interactions.
- 📊 Data Analytics
- 🧠 Machine Learning and MLOps
- 🧪 Hypothesis Testing, A/B Testing, and Causal Inference
- 🔬 Mathematical and Computational Modeling
- 📈 Data Visualization
- 🎯 Project Management
- 🤝 Cross-Functional Collaboration
- Python (NumPy, SciPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, PyTorch, TensorFlow/Keras)
- SQL for data querying and management
- Power BI, Tableau, Microsoft Excel for advanced data visualization and insights
- AWS, Azure for cloud-based computing and model deployment
- Flask, FastAPI for building scalable web applications
- Working on Credit Risk Modeling and Marketing Analytics projects using data analysis and machine learning techniques.
- Exploring Deep Learning, Natural Language Processing, and Generative AI to expand my skill set.
- 📧 Reach me at: soumyardas@soumyardas.com
- 💼 Connect on LinkedIn
By combining strong technical expertise with a collaborative mindset, I aim to contribute to impactful data science projects that drive real-world solutions.