I am a Data Scientist who thrives on working on both structured and unstructured data and getting all the possible insights from it, which can help in better decision-making in all aspects. I feel very grateful to work in this field because of my deep interest in numbers and mathematics from childhood. In my full-time current role, I have also been allowed to showcase my excellent problem-solving skills, take ownership of my work, present my result to stakeholders, and visualise their impact on the business.

My recent experience is with the Big 4 Consulting Firm in Financial Service Sector, where my focus is on problem-solving with my analytical skills. However, in my past projects and experience, I got extensive work experience working with data, including mining data and cleaning. Furthermore, I also have exceptional skills in processing data, applying different data collection techniques, visualising data, and building machine learning pipelines using TensorFlow and Scikit. Also, on the other hand, I worked on building deep learning models using Keras in Python and R Programming Scripts. In addition, I have excellent communication skills, a good understanding of algorithms, knowledge of different visualising tools like Tableau, and Plotly, knowledge of SQL, and experience in applied statistics.