Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Timeline
Sadhvi Gurudatha

Sadhvi Gurudatha

Mangaluru

Summary

Accomplished and High-performing engineer with a proven track record, specializing in software development and database design. Excelled in creating innovative solutions and enhancing user experiences, demonstrating exceptional teamwork and problem-solving skills. Proficient in Python and R, significantly improved productivity and software performance. with solid experience in providing academic and administrative support to faculty members and students. Skilled at conducting research, managing projects and assisting with course materials. Strong problem-solving skills and committed to staying current with best practices and trends in higher education.

Overview

10
10
years of professional experience
3
3
Certifications

Work History

Senior Software Engineer

Technomers
11.2010 - 07.2018
  • Designed and developed forward-thinking systems that meet user needs and improve productivity.
  • Corrected, modified and upgraded software to improve performance.
  • Documented software development methodologies in technical manuals to be used by IT personnel in future projects.
  • Supervised work of programmers, designers and technicians, assigned tasks and monitored performance against targets.
  • Created proofs of concept for innovative new solutions.
  • Conducted data modeling, performance and integration testing.
  • Tested functional compliance of company products.

Software Engineer

Siemens Healthcare
05.2010 - 10.2010
  • Analyzed proposed technical solutions based on customer requirements.
  • Enhanced user experience with intuitive interface design and responsive web applications.
  • Improved software performance by identifying and resolving bottlenecks in the code.
  • Coordinated with other engineers to evaluate and improve software and hardware interfaces.

Software Engineer

Telenetix Private Limited
01.2009 - 04.2010
  • Optimized algorithms for faster processing, reducing overall computation time.
  • Collaborated with management, internal and development partners regarding software application design status and project progress.
  • Collaborated with fellow engineers to evaluate software and hardware interfaces.
  • Developed comprehensive documentation for software applications, enabling easier maintenance and user support.
  • Developed and maintained scalable web applications, meeting high user demand and ensuring consistent uptime.
  • Created proofs of concept for innovative new solutions.

Technical Associate

Tech Mahindra
08.2008 - 01.2009
  • Performed routine preventive maintenance tasks to sustain technological readiness.
  • Used ticketing systems to manage and process support actions and requests.
  • Generated reports to track performance and analyze trends.
  • Researched and identified solutions to technical problems.
  • Configured and tested new software and hardware.

Education

Ph.D. - Health Information Technology

National Institute Of Technology, Karnataka, Mangalore, India
06.2025

MBA - Marketing Management And Research

National Institute Of Technology, Karnataka, Mangalore, India
06.2020

B.Tech - Computer Science And Programming

R.N.S Institute Of Technology, Bengaluru, India
06.2008

Skills

Software Development

Accomplishments

  • MACHINE LEARNING APPROACHES TO ADDRESS CHILD AND ADOLESCENT MALNUTRITION: A SYSTEMATIC LITERATURE REVIEW


Malnutrition in children and adolescents presents multifaceted challenges, encompassing both undernutrition and overnutrition and significantly affecting their physical growth and cognitive outcomes across their lifespan. Advanced computing algorithms, particularly machine learning (ML) and deep learning (DL) have emerged as pivotal tools for identifying, treating, and designing interventions for child malnutrition. This study is a systematic literature review that delineates the utilization of ML models in addressing malnutrition among children and adolescents using the PRISMA framework.


  • ROBUST MACHINE LEARNING METHODS FOR PREDICTION OF CHILDHOOD ANAEMIA – A CASE OF THE EMPOWERED ACTION GROUP STATES OF INDIA


Anemia is a major undernutrition concern in developing countries. Anemia in early childhood leads to lower immunity and diminished cognitive development and is one of the major causes of early childhood mortality. In India, the major burden of anemia is seen in the Empowered Action Group (EAG) states. Concerted efforts are needed to reduce the burden of anemia. This study uses machine learning (ML) models to predict anemia among children aged six to fifty-nine months using data from the fifth round of the Indian Demographic Health Survey (DHS), also known as the National Family Health Survey – 5 (NFHS – 5) in the EAG states





Certification

Microsoft Excel

Timeline

Power BI

03-2020

Tableau

02-2020

Microsoft Excel

01-2020
Senior Software Engineer - Technomers
11.2010 - 07.2018
Software Engineer - Siemens Healthcare
05.2010 - 10.2010
Software Engineer - Telenetix Private Limited
01.2009 - 04.2010
Technical Associate - Tech Mahindra
08.2008 - 01.2009
National Institute Of Technology, Karnataka - Ph.D., Health Information Technology
National Institute Of Technology, Karnataka - MBA, Marketing Management And Research
R.N.S Institute Of Technology - B.Tech, Computer Science And Programming
Sadhvi Gurudatha