Jyostna Parasabaktula
Development
Karnataka , India
Skills
Data Science
About
JYOSTNA PARASABAKTULA's skills align with IT R&D Professionals (Information and Communication Technology). JYOSTNA also has skills associated with Secondary School Teachers (Education and Training). JYOSTNA PARASABAKTULA has 7 years of work experience.
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Work Experience
Internship
Innodatatics
October 2023 - Present
- Project 1: Face Recognition (Computer Vision) Client: Innodatatics Business Problem: Frauds and hacking can happen with the normal username and password login. Data is getting unsecured with the normal username and password. Business Solution: Introduced the face login implementation instead of normal username and password login to maximize the security. Technology Stack: Programming Language: Python Libraries Used: Numpy, Pandas, Sklearn, Matplotlib, torchvision, torch helper_functions, transforms, DataLoaders Deployment Tools: Streamlit Monitoring & Maintenance: Evidently Business Benefits: This face login implementation will occur in the tool named AiTutor. So, increase the face login practice by 80%. Accuracy of the face recognition model should be above 95%. Maximize the productivity of the tool by using this face recognition so that it will increase the revenue by 10%. Project 2: Text Extraction from Store Bills (NLP) Client: Innodatatics Business Problem: Manually doing data entry of the entries available on the retail store bills will be extremely time consuming and is prone to human errors. Business Solution: Introducing the method of automatic entry of the retail store bills instead of manual entry from the given store bills. Technology Stack: Programming Language: Python Libraries Used: easyocr, tesseractocr, pyocr, opencv, Numpy, Pandas, Pillow Deployment Tools: Streamlit Monitoring & Maintenance: Evidently Business Benefits: Minimize the time taken to extract the data by at least 90%. Minimize the human effort. Achieve the accuracy at least 92%. Achieve a cost saving of at least $1 M by reducing manual effort on text extraction from store bills. Project 3: Bird detection and tracking for healthcare monitoring (AI) Client: Innodatatics Business Problem: Manually tracking the birds and the weight of the chicks is extremely taxing. Business Solution: Introducing the concept continuous monitoring and tracking of the chicks. So, we can estimate the health condition of all the chicks by checking the alert messages. Technology Stack: Programming Language: Python Libraries Used: yolo, opencv, ultralytics Deployment Tools: Streamlit Monitoring & Maintenance: Evidently Business Benefits: Minimize the manual tracking of birds & associated weight. Minimize the cost of the solution. Achieve the accuracy at least 96% & minimize the manual effort by at least 10%. Achieve a cost saving of at least $1 M.
Secondary School Teacher
Sri Viswasanthi EM School
January 2017 - December 2019
- Vuyyuru, AP - (2017-19) - Sasi Educational Institutions, Nallajerla, AP - (2015-16)
J. Sikile EM School
January 2014 - December 2015
AKRG EM School, Nallajerla
January 2013 - December 2014
Education
