Here’s a look at the technical and analytical skills I’ve developed through my experience in data science and engineering. From building data pipelines to developing machine learning models, I focus on using data to create scalable, intelligent solutions.
I apply statistical analysis, machine learning, and predictive modeling to uncover insights and drive data-informed decisions.
Experienced in designing and automating end-to-end data pipelines using Python, SQL, and Azure. I ensure clean, reliable, and scalable data systems that support analytics and reporting.
Developed and deployed ML models for forecasting, NLP, and classification tasks. Skilled in Scikit-learn, TensorFlow, and data preprocessing for real-world applications.
Created 10+ Power BI dashboards and 100+ Crystal Reports to visualize KPIs, optimize reporting, and improve business decision-making.
Integrated data workflows across Azure services, automated reporting with Python scripts, and implemented monitoring systems for continuous performance tracking.
Whether it’s about a project, collaboration, or feedback, feel free to reach out, I’m happy to connect and help however I can.
Thaadshaayani Rasanehru is a data scientist passionate about turning complex data into actionable insights.
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