Anudeepthi Senthil Kumar

Skills

Languages: Python, Java, R, SQL, JavaScript, Scala, HTML/CSS,
Machine Learning: PyTorch, Neural Networks, Regression, Classification, ANOVA, Feature Engineering, Model Evaluation
Data: Pandas, NumPy, Statistical Modeling, Data Pipelines, ETL, scikit-learn, MySQL
Tools: Git, AWS, Tableau, Alteryx, Jupyter, RStudio, WEKA

Regression models predicting insurance costs using Kaggle data. Feature engineering and model evaluation included.

DeepLabV3+ with ResNet-101 in PyTorch for urban scene segmentation. Evaluated using mIoU and pixel accuracy.

Factorial ANOVA study in R investigating the effect of music on memory performance. Submitted to USCLAP.