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.
AWS Big Picture
Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon. It offers a wide range of services and tools that enable businesses and individuals to build, deploy, and manage various applications and services in the cloud.
Sharding vs Partitioning
Sharding and partitioning are both techniques used in database management to break up large databases into smaller, more manageable parts. However, there are some key differences between the two approaches
Primitive Data Structure vs Non Primitive Data Structure
Primitive data structure is a fundamental type of data structure that stores the data of only one type whereas the non-primitive data structure is a type of data structure which is a user-defined that stores the data of different types in a single entity.
Posted September 12, 2022 by Rohith and Anusha ‐ 1 min read
⌖ quick-references blog primitive-data-structure non-primitive-data-structure
Full Binary Tree vs Complete Binary Tree
A full binary tree is a binary tree in which all of the nodes have either 0 or 2 offspring. In other terms, a full binary tree is a binary tree in which all nodes, except the leaf nodes, have two offspring. When all of the levels of a binary tree are entirely filled, except for the last level, which can contain 1 or 2 children nodes and is filled from the left, it is said to be a complete binary tree.
Posted September 12, 2022 by Rohith and Anusha ‐ 1 min read
⌖ quick-references blog full-binary-tree complete-binary-tree
B Tree vs B+ Tree
B-Tree is known as a self-balancing tree as its nodes are sorted in the inorder traversal. In B-tree, a node can have more than two children. B-tree has a height of logM N (Where ‘M’ is the order of tree and N is the number of nodes). B+ tree eliminates the drawback B-tree used for indexing by storing data pointers only at the leaf nodes of the tree. Thus, the structure of leaf nodes of a B+ tree is quite different from the structure of internal nodes of the B tree.