Data Analyst
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I’m Aishwarya Gottipamula, I’m from Hyderabad.
I am Btech graduate in Data Science at ACE Engineering College.
My technical skills include programming languages like Python, Java, SQL, basics of R, HTML, CSS, Bootstrap, and basics of ReactJS, along with knowledge of Data Structures, OOP, DBMS, version control with Git, software development lifecycle, machine learning algorithms, python libraries,and tools like weka, power bi, ms office.
Throughout my academic journey, I’ve consistently worked on applying my technical knowledge to real-world projects.
One of my notable projects is GenShopper, a multi-agent recommendation system developed using Python and the TinyLlama language model to deliver hyper-personalized product suggestions.
I’ve also collaborated on developing a virtual mouse and voice assistant using Python, OpenCV, MediaPipe, and SpeechRecognition libraries, enhancing hands-free computer interaction.
Additionally, I've also collaborated and developed a classification model to predict Autism Spectrum Disorder using Random Forest and XGBoost algorithms, with the results visualized via a Streamlit interface.
Another project involved building a web application for encoding and decoding text using Python, the qrcode library, and ReactJS for the frontend.
I’ve participated in workshops on Generative AI by Sawit and Tableau sessions conducted at my college.
In addition to these, I’ve completed certifications in Python full stack, IBM data science and MePro(English).
In my free time, I enjoy exploring new technology tools, work on my coding skills.
As a recent graduate, I’m eager to contribute to an organization’s growth while continuously learning and advancing my career.
Throughout my academic journey, I’ve consistently worked on applying my technical knowledge to real-world projects.
One of my notable projects is GenShopper, a multi-agent recommendation system developed using Python and the TinyLlama language model to deliver hyper-personalized product suggestions.
I’ve also collaborated on developing a virtual mouse and voice assistant using Python, OpenCV, MediaPipe, and SpeechRecognition libraries, enhancing hands-free computer interaction.
Additionally, I've also collaborated and developed a classification model to predict Autism Spectrum Disorder using Random Forest and XGBoost algorithms, with the results visualized via a Streamlit interface.
Another project involved building a web application for encoding and decoding text using Python, the qrcode library, and ReactJS for the frontend.
I’ve participated in workshops on Generative AI by Sawit and Tableau sessions conducted at my college.
In addition to these, I’ve completed certifications in Python full stack, IBM data science and MePro(English).
In my free time, I enjoy exploring new technology tools, work on my coding skills.
