Data Scientist | Pythonista
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A Data Scientist with 3+ years of hands-on experience. I bring expertise in Python, NoSQL, Machine learning techniques and Excel. Looking forward to work on projects with data preparation, data analytics, statistical modelling and machine learning.
Worked on supply chain data for demand forecasting and purchase/transfer order recommendations.
Built forecasting models, dashboards, and automated secure data transfers via SFTP/SOAP.
Created storyboards for insights on sales, demand planning, and forecast accuracy.
Tech: Pandas, Polars, SQL, Excel, Forecasting Models.
Analyzed cybersecurity data, cleaned malware logs, automated reporting.
Developed backend APIs, managed clusters and performed API testing.
Tech: Pandas, Flask, MongoDB (Compass & Atlas), Docker, Postman, GenAI, Git.
Supported demand forecasting using ARIMA.
Worked on SQL-based consulting tasks, and conducted knowledge-sharing sessions.
Tech: Pandas, Excel, SQL (Snowflake), Linux.
Built ML models using sensor data for machinery health monitoring.
Applied signal processing and mentored junior data scientists.
Tech: AWS S3, Scipy, Sklearn, Pandas, Matplotlib, Jupyter.
Conducted research on Gravitational Waves and General Relativity.
Applied Bayesian inference and MCMC techniques for parameter estimation.
Tech: Emcee, NumPy, Pandas, GitLab, Linux.
Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Scipy, Emcee, Polars
Platforms: MongoDB (Compass, Atlas), Postman, Jupyter, VS Code, Slack, Linux, Windows
Data Scientist with Python (Datacamp)
National Institute of Technology (NIT) Karnataka
Duration: July 2017 – May 2019
CGPA: 7.66 / 10
Gained a strong foundation in mathematical modeling, analytical thinking, and data interpretation—core skills applicable to data science and machine learning.
🎓 Bachelor of Science (B.Sc.) in Physics
Duration: June 2014 – April 2017
CGPA: 9.04 / 10
Built foundational skills in physics, mathematics, and problem-solving, paving the way for technical research and data analysis roles.
