Nida Bijapure
About Nida Bijapure
Nida Bijapure is a Software Engineer at Mastek in Mumbai, with a background in data science and business analytics, and expertise in various programming languages and analytical tools.
Current Position as Software Engineer at Mastek
Nida Bijapure is currently employed at Mastek in Mumbai, Maharashtra, India, where she serves as a Software Engineer. Her role involves leveraging her expertise in advanced programming languages such as Python, Django, R, and C, as well as her proficiency with analytics and data visualization tools. This experience contributes to her ability to handle large datasets and perform complex data analysis.
Previous Experience at The Sparks Foundation
From 2020 to 2021, Nida Bijapure worked as a Data Science and Business Analytics Intern at The Sparks Foundation. During her one-month tenure, she applied her skills in data visualization, machine learning, and statistical model building to real-world projects. This internship played a crucial role in enhancing her practical knowledge and hands-on experience in data analytics.
Educational Background in Statistics
Nida Bijapure completed her Master's degree in Statistics (M.Sc) at Solapur University, Solapur, from 2018 to 2020. Prior to that, she earned her Bachelor's degree in Statistics (B.Sc) from Sangameshwar College, Solapur, where she studied from 2015 to 2018. Her formal education provided a strong foundation in statistical theories and applications, which she leverages in her professional career.
Technical Expertise and Tools Proficiency
Nida Bijapure is proficient in using various tools pivotal in the field of data science and analytics, including Power BI, Jupyter Notebook, R Studio, Minitab, Tableau, and Advanced Excel. Her technical expertise also encompasses advanced programming languages such as Python, Django, R, and C. She is adept at data visualization, machine learning, deep learning, and building statistical models. In her roles, she applies this technical proficiency to compile, transform, and analyze complex datasets, allowing for insightful data interpretation and decision-making. Her meticulous approach ensures the integrity and accuracy of the data analysis process.