Hi,
I am Anagha
I am a proficient data enthusiast, adept at creating machine learning models for solving unseen business problems using predictive and generative AI.
My goal is to help businesses leverage cutting-edge AI solutions to boost efficiency, extract insights, and foster data-driven cultures.
PROFESSIONAL EXPERIENCE
Consultant
Mercedes Benz Research and Development India
- Implemented a scheduler for automating the timely dispatch of emails to authorized users, containing daily diagnostic information and relevant statistics there by saving time and eliminating human-errors.
- Developed Python scripts to seamlessly convert XML data into SQL, facilitating the efficient uploading of production grade vehicle information to PostgreSQL Database.
- Addressed and resolved bugs by utilizing SonarQube, enhancing the code structure, and optimising the performance of the web application.
- Incorporated new external APIs into the web application, augmenting its functionality with additional features.
- Performed comprehensive feasibility assessments on external APIs trained on machine learning models, streamlining and automating manual tasks performed by technicians.
- Coordinated production deployments and offered support by monitoring pods.
Student Trainee
Mercedes Benz Research and Development India
- Skills: React JS, Javascript, HTML, CSS, AWS
EDUCATIONAL QUALIFICATIONS
MSc Artificial Intelligence and Machine Learning
University of Birmingham 2023-2024
- Deep Learning and Neural Networks
- Computer Vision
- Natural Language Processing
- Intelligent Data Analysis
B.Tech Computer Science and Engineering
Amrita Vishwa Vidyapeetham 2018-2022
- Deep Learning and Neural Networks
- Computer Vision
- Natural Language Processing
- Software Engineering
- Computational Intelligence
- Operating Systems
- Database Management Systems
- Data Structures and Algorithms
- Object Oriented Programming
SKILLS
- Python
- Java
- C++
- Javascript
- HTML
- CSS
- SQL
- Numpy
- Pandas
- Scikit-Learn
- Matplotlib
- Streamlit
- Generative AI
- MLOps
- Image Processing
- Computer Vision
- Deep Learning and Neural Networks
- Natural Language Processing
- Jenkins
- Git
- Data Visualisation
- Data Preprocessing
- Feature engineering
- PowerBI
- FlutterFlow
- WordPress
- Tensorflow
- Keras
- OpenCV
- FastAPI
- LangChain
- LangGraph
- Agents and Tools
- Large Language Models
PUBLICATION
Deep Learning Approaches for Detection of Covid-19 Using Chest X-Ray Images
Comparison of VGG-16, ResNet-50, and CNN Model on the detection of Covid-19 from Chest X-Ray Images. The dataset was classified into 3 classes – Covid-19, Pneumonia, and Normal.
Publisher: IEEE
PROJECTS
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Why me ?
Checkout MY Awesome Skills
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When I’m not on the clock, you’ll definitely catch me kicking it here.