Results-driven computer science graduate with a strong foundation in Python, machine learning, and data science. Seeking to leverage analytical skills and technical expertise to contribute to innovative projects in a dynamic organization. Committed to continuous learning and professional growth while delivering high-quality solutions to complex problems.
. Developed a Deep learning model to generate captions for images combining CNN for feature extraction AND LSTM for sequence generation. Utilized tools and metrics like Tensorflow, Keras, BLEU score, Matplotlib.
. Performed Kmeans Clustering on E-commerce dataset identifying patterns among products based on categories., Feature selection, Normalization, PCA, Silhouette score.
. Developed different CNN models for classification tasks as well as built and evaluated models using Linear, Logistic Regression, Decision Trees, Random Forests and XGBoost. Also developed Image-Segmentation Model using Pytorch dataset utilized was the Pascal VOC.
* Gaming: A thrilling escape into virtual worlds, offering challenges and adventures. One can enjoy the mix of strategy, skill-building, and storytelling that many games provide.
* Anime: A diverse Japanese animation style with unique storytelling and artistry. Covers a wide range of genres and often explores complex themes.
* Badminton: A fast-paced racquet sport that provides great exercise. Requires quick reflexes and strategy. It is fun to play casually or competitively.