Associate Data Scientist
Wipro Limited
Total years of experience :1 years, 6 Months
Highly skilled and results-oriented Data Scientist with 1.6 years of experience in leveraging data-driven insights to drive business solutions. Proficient in statistical analysis, machine learning, and predictive modeling. Adept at translating complex data into actionable strategies to enhance decision-making processes. Key Skills: Machine Learning: Expertise in developing and deploying machine learning models for diverse applications, including predictive analytics and recommendation systems. Statistical Analysis: Proficient in using statistical methods to extract meaningful insights from data and drive informed business decisions. Data Visualization: Skilled in creating visually compelling and easy-to-understand dashboards using tools like Tableau and Matplotlib, seaborn. Programming Languages: Strong proficiency in programming languages, including Python for data manipulation, analysis, and model development. Led the development and implementation of machine learning models. Collaborated with cross-functional teams to identify business challenges and deliver actionable insights through data analysis. Conducted exploratory data analysis to uncover trends, patterns, and correlations that informed strategic decisions.
I hold a Master's degree in Applied Statistics, which has equipped me with a deep understanding of statistical theories and methodologies, along with hands-on experience in applying statistical techniques to real-world problems. Throughout my academic journey, I have gained proficiency in advanced statistical modeling, experimental design, and data analysis techniques. This specialized education has honed my ability to extract valuable insights from complex data sets and make informed decisions based on statistical inference. Overall, my educational background in Applied Statistics has provided me with the foundation and expertise necessary to excel.