Soumya Ranjan Das

I am a data scientist with over one year of experience in machine learning, data analysis, and predictive modeling. I focus on developing data-driven solutions that create positive social impact. My projects have spanned healthcare, agriculture, climate science, and credit risk modeling, where I used data to enhance business outcomes.

I earned my Master’s in Physics from IIT Delhi and spent eight years in computational physics research. I worked on neutrino simulations for the Deep Underground Neutrino Experiment (DUNE) at Fermilab and later studied carbon-based materials like graphene. I have since transitioned into data science and have been working as a Machine Learning Engineer, developing customized AI solutions.

Key Achievements:

• Led the deployment of a climate risk model for East African school SMEs, predicting climate-related financial risks using satellite data and machine learning.
• Developed and deployed high-accuracy machine learning models across multiple volunteer-driven projects in precision agriculture and healthcare.
• Published 7 research papers that contribute to the field of computational materials science.
• Won 2 Best Poster Presentation Awards at international conferences.
• Presented research at global conferences, building connections with other researchers.
• Taught physics, math, and coding to high school and undergraduate students, improving their learning through engaging methods.

My research background has instilled in me a growth mentality and a commitment to continuous learning. I enjoy tackling challenging problems and supporting teams in reaching their goals.

Core Competencies:

• Machine Learning & MLOps
• Mathematical & Computational Modeling
• Data Visualization
• Statistical Analysis
• A/B Testing & Causal Inference
• Business Intelligence
• Team Collaboration
• Project Management

Technical Skills:

• Programming: Python (NumPy, SciPy, Pandas, Matplotlib, Seaborn, PyTorch, TensorFlow/Keras)
• Databases: SQL
• Data Analytics & Visualization: Power BI, Tableau, Excel
• Cloud Platforms: AWS, Azure
• Web Frameworks: Flask, FastAPI

I enjoy working with complex datasets, building machine learning models, and finding insights that drive growth. I am eager to contribute to innovative projects and collaborate with professionals about using data for positive change.