Ishita Kadam

I’m an Artificial Intelligence student who’s built experience across data engineering, data analytics, and machine learning. I enjoy turning messy real-world datasets into reliable pipelines and clear insights that drive decisions.

In my Research Intern role at College Of Military Engineering – Pune, I built and optimized data pipelines for geospatial analysis using Python and Google Earth Engine (GEE). I performed data cleaning, transformation, and feature extraction on MODIS and Landsat datasets, and implemented statistical models achieving 85% classification accuracy.

As a Data Engineer Intern at Cyann – Pune, I designed and implemented an end-to-end Microsoft Fabric data engineering solution using Medallion Architecture for 76M+ NYC taxi records. I added data quality validation, dimensional modeling with a Star Schema model, and delivered a Power BI analytics solution on 30.6M+ validated trips to identify high-demand zones and travel patterns.

I also develop practical AI solutions through projects like drone orthophoto feature extraction (92% accuracy) and an incident-response workflow using SIEM log data with an XGBoost multi-classification model (97% accuracy). I’m motivated to leverage data and technology to solve real-world business problems with a strong foundation in processing, modeling, and visualization.