Few social welfare. I witnessed the challenges physically

Few areas of my undergraduate program in Computer Science have stimulated me to think deeply in the fields of Machine Learning, Artificial Intelligence, Data Structures and Image Processing. When I first came across the Computer Science program at San Francisco State University, it immediately clicked me because of great research opportunities in the areas of Machine Learning, Image Analysis, Pattern Recognition and Computer Vision. I believe I have great passion and required credentials to contribute towards the research in Biomedical Image and Data Analysis Lab.Since an early age, I had a strong inclination towards computers. I have always been fascinated by the continuous advancement in the field of computer science applications that have changed the world and impacted many lives. Being a daughter of an Engineer and successful entrepreneur, my inclination towards computer science and applications started early as I saw the urge of computer applications in modern industrialization. I built an automated material tracking system for my father’s textile ginning factory (cotton processing) which proved to be a valuable tool for the company just to keep track of incoming and outgoing material and achieve a continuous operations. Motivation from this small project led me to come up with various other application such as operator’s timesheet and salary tracking as well as company’s financial programs. As my early lifetime witnessed modern computer technological developments, I could sense the tremendous opportunities in computer science and its applications. I learned that I have a set of skills and passions that make a career in computers the right choice for me because of which it was an easy decision to choose computer science as my undergraduate major. My natural aptitude for computer applications, sense of logic, analytical ability, mathematics, capacity and high academic credentials secured me a place in one of the prestigious institute from India, Vishwakarma Institute of Information Technology (University of Pune). Four years of the engineering curriculum in Computer Engineering exposed me to gamut courses of computer science creating a strong foundation in the fields of computer networking, data structures, computer architecture, advanced database systems, cloud and distributed computing and artificial intelligence. Being in the field of computer engineering, I always strove to contribute for social welfare. I witnessed the challenges physically impaired people face in their daily lives very closely as one of my close friend was suffering from a partial hearing loss. During my final year of engineering, an idea of “Gesture to Speech Conversion” gave me an opportunity to perceive my passion to contribute towards social welfare and assist physically impaired people. In this project, I developed “Resilient Classifier for Adaptive Gesture to Speech Conversion”. It involved building a portable application to enable conversion of gestures into speech using Java technology and MATLAB functions for feature extraction. This application was intended for easy and effective communication with physically impaired people, thereby removing the communication barrier. This project greatly strengthened my conceptual knowledge of Image Processing and working of Fuzzy C Means Algorithm and Decision Tree. Through its practical implementations, it allowed me to enhance my programming skills in Java. Till then, my programming skills had been largely constrained to C and C++. In addition to this, it helped me to gain knowledge about Pattern Recognition and Image analysis. The project as a technical paper entitled “Indian Sign Alphabet Classification using Fuzzy C Means Algorithm and Decision Tree” was accepted and published on an international platform by IJRSSET (International Journal of Research Studies in Science, Engineering and Technology) paper ID: IJRSSET-010110. This project received appreciations from all over the college and was also recognized as a best innovative project of the year 2014. Apart from this, I have also worked on various other projects, including “Online Auction System” for easy and effective online trading, developed using GUI design and Database Query Language (SQL).During my undergraduate studies, active participation in extracurricular activities has assisted in overall development of my personality. I was involved in various activities such as  technical paper presentation, technological events, and also volunteering in women development programs. Apart from this, I held the role of coordinating technical events which helped me to develop leadership qualities.   After completing my bachelor’s degree, I was able to secure a job in Tieto Software and Service Company. During my tenure at Tieto, I worked on MuleESB; Java and XML based integration platform for migration and transformation of real time data within the applications such as SAP, Salesforce, MSDynamics and ServiceNow. In the project assignment, I developed and implemented integration flows for migration of bulk of data between SAP and Salesforce. The integration code was then deployed and tested on Dev/SIT (Linux) environment before going into the production stage. I also worked on TECO (Tieto Enterprise Cloud Orchestrator) – A solution providing end-to-end application lifecycle management and automated deployment of infrastructure and platforms during which I dealt with firewalls opening and closely worked on networking that helped me to develop interest in computer networks. I have completed the Mulesoft Associate Developer and MCD – Integration and API Associate (Mule 3.6) certifications.  Two years’ working at Tieto gave me immense knowledge of computer networking, computer architecture, and also strengthened my programming skills in Java and XML. The computer science program at San Francisco State University has the highest importance for me mainly because of its research and outstanding faculty. I was amazed to learn about research Dr. Kazunori Okada has done in the field of Machine Learning with the development of prosthetic arm for amputees by integration of neural machine interface and machine learning technology. I am deeply interested in computer science applications in medical research and have worked on a research project in machine learning and data mining for developing accurate cancer progression. I would consider this as a great success if I get to work under the guidance of such a excellent research faculty.Attending your prestigious graduate school will provide me high-level education and help me attain zenith of my career. I would regard admit from San Francisco State University as a great honor as well as the responsibility to prove myself. I appreciate your time and consideration.

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