Sai Shreya Jillella

Currently working toward a Master’s degree in computer and information Sciences at SUNY Polytechnic Institute, with a focus on software engineering, cloud computing, and data science. Seeking an internship or entry-level position to apply my technical expertise and academic knowledge in these areas. Eager to contribute to innovative projects and gain hands-on experience in a dynamic environment that fosters growth and technological advancement.

• Bagged 'All India Technical Hackathon Implementation Certificate' at SICET-1.0, 2020
• Participated in Machine Learning Workshop at IIT, Hyderabad.
• Took part in Machine learning workshop,Kyrion Technologies Pvt. Ltd.
• Took part in Personality Development Certification Course organized by Saksham Society, Jaipur.
• Volunteered as a Fundraiser with Muskurahat Foundation for one month, coordinating fundraising activities to support the NGO's initiatives.
• Interned with Bhumi for two weeks as a COVID-19 Vaccination Influencer, promoting vaccination awareness and education through various outreach efforts.

• Adaptability with strong interpersonal and communication skills.
• Meticulous attention to detail.
• Effective planning and prioritization of tasks.
• Proficient in project management and team leadership.

• Career Essentials in Data Analysis by Microsoft and LinkedIn
• Power BI by LUDIFU
• Getting started with AWS Machine Learning by Amazon Web Services(AWS)
• Microsoft Certification Azure Fundamentals, Microsoft

STRESS DETECTION IN IT PROFESSIONALS BY USING IMAGE PROCESSING AND MACHINE LEARNING  

Developed a system to predict stress levels in IT professionals by analyzing facial expressions from images or live video feeds using image processing and machine learning. Achieved accurate real-time stress detection and ensured reliability through extensive testing.

SOFTWARE COST ESTIMATION USING ML TECHNIQUES

Implemented a software cost estimation model using machine learning techniques to predict project costs based on historical data. Achieved improved accuracy in cost forecasts and streamlined budget planning processes.

EVOLVING PERSPECTIVES: UNVEILING THE FUTURE OF OBJECT DETECTION

Used Models like YOLO v7 and faster R-CNN and DETR to detect objects in pictures and videos and compared the analysis among the models.

ANDROID APP DOWNLOAD PREDICTION

Developed a machine learning model to predict Android app download volumes based on historical data and app features. Enhanced forecasting accuracy for app market trends and user engagement.

Tic-Tac-Toe with Algorand  

Generate currency with algorand dispenser and make transcations for the moves, wins and loss in the game.

3D MODELING

Created detailed 3D models for architectural visualization and simulations using advanced modeling software, focusing on accuracy and realism.

DATA SECURITY USING IMAGES

Using Stenography and Cryptography to provide security to a text file. This project deals with encrypting images with cryptography.