Rounak

Projects 09/2021 – present Advance warning and Control system, (AWACS) Detection of anomalies of products from their shipment age and service request. Created an ETL to collect the data from different sources. Pareto graph analysis for the type of failures across the products. Developed a dashboard using python-dash for visualization. Used clustering algorithms to identify whether the shipment is anomalous or not. 01/2021 – 04/2021 License key generation application, Major Project Implemented encoding and encryption techniques for generating license of a particular product against machine code. Used Dot-Net C# for the composition of windows form application. worked on - AES, DES, Triple-DES, SHA256, Base64. 01/2020 – 04/2020 Fake news detection, Minor project Executed Natural language processing and supervised learning approach with balanced datasets. Operated on- EDA, NLP, Pandas, Numpy, Matplotlib, Scikit learn, NLTK, regular expressions (regex) 10/2019 – 12/2019 Breast Cancer prediction using Data mining and Machine learning strategy Carried out extensive Exploratory data analysis on the Cytopathological data and computed the Principle component analysis (PCA) to reduce the overall dimensionality based on the overall feature variance. Utilized the Grid search technique for hyper-parameter optimization and incorporated the Random forest algorithm as the gradient boosting framework along with a logistic regression model to produce binary classification results.