• Contributing in development of Convolutional Neural Networks (CNN) architectures for a research project under Scholar Deeksha Varshney focused on Video and Image Captioning using Git-Based and Vision-Language Models.• Tech Stack: Python, PyTorch, Hugging Face Transformers and Datasets, GPU Acceleration• In-demand research skills: : Computer Vision, Neural Networks, Fine-Tuning, Exploratory Data Analysis, Featuredetection and matching, Geometry.

Nestria (Byte) - Spryte Labs:• Gained extensive training in different domains of Data Analysis and Machine Learning including EDA, Statistical concepts, Data Visualization, Feature Engineering and Transformation & implementation of machine learning pipelines.• Worked collaboratively with team members to conduct in-depth exploratory data analysis on large datasets. Generatedactionable insights that informed business decisions and strategy.• Tech Stack : NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn, Airflow