Data Analyst
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I have 7 years of experience in the field of IT and data analysis, having worked on various projects encompassing data extraction, preprocessing, modeling, and visualization. My academic background in MTech has equipped me with a solid foundation in statistical analysis, mathematics, and computer science principles, enabling me to apply advanced analytics techniques to solve complex business problems.
Throughout my career, I have gained proficiency in Python, R, and SQL, utilizing libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis. I have experience working with cloud platforms such as Amazon Web Services (AWS) scalable data processing and storage. Furthermore, my expertise in data visualization tools like Tableau and matplotlib has allowed me to communicate insights effectively to both technical and non-technical stakeholders
I am a highly analytical thinker with a passion for problem-solving. I thrive in collaborative environments and have effectively collaborated with cross-functional teams, including data engineers, business analysts, and executives, to translate business requirements into data-driven solutions.
Sev1 and Sev2 bridges. Collaborated with business stakeholders to drove business goals for S&P Global