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aishwarya52

Aishwarya T

@aishwarya52

Java Developer, Machine Learning and Data Analyst with Power BI and SQL

Inde
Anglais, Kannada, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
I am a Computer Science student with an interest in Java programming, Machine Learning, and Data Analysis. I have hands-on project experience in Power BI, SQL, and Informatica, including developing a Library Analytics Dashboard. I can help with data cleaning, SQL queries, Power BI dashboards, data visualization, and analysis. I also work with Core Java, object-oriented programming, and programming-related tasks. I focus on understanding each client's requirements, communicating clearly, and delivering accurate work on time. I am eager to learn, solve problems... Plus d’infos

Compétences

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aishwarya52
Aishwarya T
hors ligne • 

Voir mes services

Programmation et Tech
I will create power bi dashboards and perform sql data analysis
De10 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Edunet_Foundation

Frontend Web Development

Edunet Foundation

Aug 2025 - Oct 2026 • 1 yr 2 mos

Successfully completed the Edunet – Front End Web Development program through IBM SkillsBuild. Gained learning experience in front-end web development and developed an understanding of web development concepts. This program helped strengthen my technical knowledge and problem-solving skills.

KLE_Technological University

Machine Learning Project

KLE Technological University

Oct 2025 - May 2026 • 7 mos

Worked on a machine learning project titled **Real-Time Crowd Density Estimation Using Self-Distilled ResNet-50 Networks** as part of an academic team at KLE Technological University. - Developed a deep learning approach for estimating crowd density and counting people. - Used ResNet-50 architecture for feature extraction and density map prediction. - Applied Self-Distillation and Exponential Moving Average (EMA) techniques. - Worked with the ShanghaiTech Part A and Part B datasets. - Evaluated model performance using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). This project helped me develop practical knowledge of Python, deep learning, computer vision, and machine learning.