
Nitin jangra
Technology / Internet
About Nitin jangra:
My name is Nitin, and I am currently a second-year MSc Data Science student at the Central University of Haryana. With a strong foundation in statistical analysis, machine learning, and data visualization, I have developed proficiency in essential programming languages and tools such as Python, R, SQL, and Power BI. As I actively seek data analysis job opportunities, my goal is to contribute to data-driven decision-making processes in organizations, helping them leverage data for strategic advantages. I am particularly interested in exploring advanced analytics techniques. With a passion for turning data into actionable insights, I am eager to make a significant impact in the field of data analysis.
Experience
As a second-year MSc Data Science student at the Central University of Haryana, I have gained valuable experience through various academic projects that focus on data analysis and machine learning. I have developed proficiency in programming languages and tools such as Python, R, SQL, and Power BI, which I have applied to analyze large datasets, implement machine learning algorithms, and create compelling data visualizations. My hands-on experience has equipped me with the skills necessary to extract meaningful insights from data and effectively communicate findings. I am actively seeking opportunities in data analysis to further apply my knowledge and contribute to data-driven decision-making in organizations.
Education
I am currently pursuing a Master of Science in Data Science at the Central University of Haryana, where I am in my second year of study. This program has provided me with a comprehensive understanding of statistical analysis, machine learning, and data visualization techniques. I have gained practical skills in programming languages such as Python and R, as well as database management using SQL. Additionally, I have developed expertise in data visualization tools like Power BI. My education has equipped me with the theoretical knowledge and practical experience necessary to analyze complex datasets and derive actionable insights, preparing me for a successful career in data analysis.
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