Sangit Regmi

To impart help to the organization in the field of data analysis by preparing, clustering, cleaning, organizing, and analyzing data using different tools for the attainment of the common goal - the amelioration of the organization.

Proficient in advanced mathematical and analytical abilities, with a demonstrated history of successfully addressing intricate problems, conducting data extraction, cleansing, transformation, and loading. Skilled in developing analytical models to tackle business challenges. Proficient in SAS and R programming, and enthusiastic about leveraging state-of-the-art Blockchain Technology, Data Science, and Statistical Analytical tools to address complex business issues, encompassing predictive analysis and data visualization. Institutional Research Analyst boasting over 3 years of experience in higher education, along with a validated entrepreneurial journey.

This research centered around evaluating treatment effects within medical datasets, with a specific emphasis on understanding absolute and relative treatment effects using R Studio. The primary objective was to employ statistical analysis techniques to assess the impact of treatments on patients exhibiting continuous response measures, particularly focusing on blood pressure metrics.

The study employed a dataset sourced from medical records, encompassing patients' blood pressure readings and details regarding various treatment interventions.

• Descriptive Statistics: Utilized R Studio functions to compute descriptive statistics, including means, minimums, maximums, and variances for continuous variables, such as systolic and diastolic blood pressure readings.
• Frequency Analysis: Utilized R functions to analyze the frequency distribution of categorical variables, specifically concentrating on blood pressure status categories.

Through the use of R Studio's functions for frequency analysis, a detailed understanding of the distribution of patients across different blood pressure categories was achieved. This analysis established a foundational understanding of the prevalence of various blood pressure statuses within the dataset.

Leveraging R Studio's statistical capabilities, an assessment was made on how continuous variables, such as systolic and diastolic blood pressure, varied across distinct blood pressure status categories. This comparative analysis provided insights into the relative impacts of treatments across diverse patient groups.

• Insights into Treatment Effects: The research uncovered significant variations in mean blood pressure readings between different treatment groups, shedding light on treatment efficacy.
• Holistic Understanding: The combined analysis of absolute and relative treatment effects provided a comprehensive picture of treatment impacts on different patient subsets.

The study underscored the importance of analyzing absolute and relative treatment effects within medical datasets using R Studio. By leveraging R's statistical functions, the research yielded valuable insights crucial for evidence-based decision-making in healthcare and the potential enhancement of patient care strategies.

 Contributed to the implementation of the Early Grade Reading Program, supporting literacy initiatives., Collaborated with a team to enhance educational resources and activities for early-grade students., Engaged in community outreach and assisted in fostering a positive learning environment for young readers.