Dr. Anusha
Creator of whiletrue.live.
Treated more than 2000 patients as dentist.
Interested in dentistry, software development and computational biology.
About Me
As a dentist with 4 years of clinical experience, I have developed a keen interest in the intersection of healthcare and technology, particularly in the field of software development. With my passion for both dentistry and software, I am excited to explore new ways of improving patient care through innovative technological solutions. I am currently pursuing master’s in Bioinformatics, where I am gaining expertise in the intersection of biology and software. In addition to my work as a dentist, I have written several blogs on various dental problems and software. I am excited to continue exploring the field of Bioinformatics and applying my knowledge to advance healthcare through technology.
Software Development
As a dentist-turned-software developer, I bring a unique perspective to the field of healthcare technology. With experience in both clinical dentistry and software development, I am uniquely positioned to bridge the gap between these two fields. With a strong background in both clinical dentistry and programming, I am passionate about creating innovative software solutions that improve patient care and enhance the practice of dentistry. My expertise in languages such as Python, Java, and R, coupled with my studies in bioinformatics, has equipped me with the skills necessary to build robust and effective software systems. I am excited to continue exploring the limitless potential of technology in the healthcare industry.
Computational Biology (Bioinformatics)
In today’s era of big data and advanced technologies, computational methods have become increasingly essential to the field of biology. As a dentist with a passion for software development, I recognized the importance of these methods early on in my career. Pursuing an MS in Bioinformatics has allowed me to develop a deeper understanding of the power of computation in biological research. With a strong background in programming languages such as Python, Java, and R, I have developed a skill set that allows me to tackle complex biological problems with confidence. I am particularly interested in leveraging my expertise to contribute to the development of new therapies and technologies that improve patient outcomes. Whether it’s developing computational models to predict drug efficacy or analyzing genomic data to uncover new biomarkers, I am excited to continue exploring the possibilities of computational biology and make a meaningful impact in the field.
Dentistry
Started my career as a dental professional with vast knowledge of dental care and dental services. Motivated and bilingual licensed dentist with more than 4 years of experience in providing good and effective dental care to patients. I have treated more than 2000 patients while working as dentist.
Expertise in all areas of general dentistry combined with experience in effective business and staff management. Passionate in being updated with new advancements in dentistry and skilled in digital intraoral scanning and CEREC technology.
Exposed to various types of cases and good understanding on restorative dentistry, periodontics, oral surgery, prosthodontics and pediatrics.
Gganimate
Data visualization is an essential part of data analysis, as it helps you communicate your findings effectively and make data-driven decisions. R, a popular programming language for statistical analysis and data visualization, offers a wide range of packages and libraries to create stunning visualizations. One such package is gganimate, which takes your ggplot2 plots to the next level by adding animation capabilities.
Dplyr
In the world of data science and analysis using R, there are several essential libraries that every aspiring data scientist or analyst should have in their toolbox. One such library that often takes center stage in data manipulation and transformation is dplyr. While not as famous as ggplot2, shiny, or lubridate, dplyr plays a crucial role in data preprocessing and exploration. In this blog post, we'll dive into the powerful capabilities of the dplyr package and discover how it can simplify your data manipulation tasks in R.
Lubridate
R, a versatile and powerful programming language, is renowned for its rich ecosystem of libraries that cater to a wide range of data analysis, visualization, and manipulation tasks. While libraries like ggplot2 and Shiny often steal the limelight, there are many other gems in the R package universe that can greatly enhance your data science journey. In this blog post, we'll take a deep dive into one such library, Lubridate.
Shiny
In today's data-driven world, making sense of complex datasets and communicating insights effectively are crucial skills. R, a versatile programming language, offers a wide range of packages and libraries for data analysis and visualization. One such powerful tool is Shiny, a web application framework that enables data scientists and analysts to build interactive and dynamic data dashboards effortlessly. In this blog, we'll take a closer look at Shiny and explore how it can be used to create engaging data dashboards.
Ggplot2
R is a versatile and powerful programming language for statistical computing and data visualization. One of its standout features is the vast ecosystem of libraries and packages that extend its functionality. In this blog post, we will explore one of the most popular and influential R libraries: ggplot2. Developed by Hadley Wickham, ggplot2 is a data visualization package that provides an elegant and intuitive way to create complex, customized plots.