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 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. During my college day, I got multiple opportunities to participate in more than 20 hackathons in and outside my college and won many. I was firm in technical skills. I was appointed as the Technical Advisory for the Codechef VIT chapter and took many lectures in the field of Data Science and Machine Learning for my juniors. My interest in data science and Machine Learning kept me gaining more knowledge in this field by doing more than 35 online courses. I love to write in my free time, which made me publish two research papers in computer science and write small articles on my medium page. Now that you know a bit about my work experience, from a personal view, I am also someone who enjoys travelling, going for a walk, and talking with new people to know their experience and share mine. Data Scientist | Data Analytics | Machine Learning | Risk Analytics | Pattern Detection | Descriptive Analytics | Predictive Analytics | Big Data | ETL | Map Reduce | Data-Oriented | Detail Oriented | Decision Scientist |Algorithms| Product Development | Interpreting Data | Fraud Detection | Classifier| Regression | Anomaly Detection | Operational Research | Business Intelligence | Applied Statistics | Microsoft Excel | Women in Data Science | Problem Solving | Critical Thinking