Hi, I'm Zainab Siddiqui, a passionate AI Developer with experience in developing models for complex problems.

• Programming: Python
• Machine Learning: TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy
• Big Data: Hadoop, Hive, HBase, Spark (PySpark), Map Reduce, YARN
• Web Development: Streamlit, Gardio, Flask
• Tools: Git, Jupyter, PyCharm, Google Colab, VS Code, Knime, Alteryx, PowerBI, Tableau, DataBricks, AWS Sagemaker, FastAPI

A machine learning model for generating song lyrics using advanced neural network techniques. This model leverages Bi-directional LSTM to create coherent and creative lyrics in various styles.

A deep learning model for accurate classification of 10 fruit categories. The objective is to build a model that can accurately identify the type of fruit based on images.

A computer vision project for detecting student concentration levels using image classification techniques. The concentration levels can be broadly one of these two: engaged and not engaged, which have 3 sub-categories each. So, the model predicts one level out of 6.

A project about predicting heart disease using machine learning models and ensemble methods. It is a classification of a patient based on clinical parameters into healthy and not healthy in terms of heart. Evaluations are done using the Cleveland dataset.

A web application for sentiment analysis built using Streamlit. The application analyzes digital text to determine if the emotional tone of the message is positive, negative, or neutral.

• Machine Learning Engineer at Anubrain Technology (Dec 2022 - Present)
  • Analyzing the business problem and strategizing a plan of action (solution)
  • Creating stunning dashboards with Tableau and PowerBI
  • Working with Big Data using Hadoop and Hadoop ecosystem tools to solve complex business problems
  • Writing queries to extract, transform, and load data into appropriate formats for downstream tasks like modeling
  • Training and testing models built using machine learning and deep learning (both supervised and unsupervised)
  • Working on system design and enhancements to achieve better model performance for the desired goals
  • Creating model APIs that can be integrated with web apps, mobile apps, and websites
  • Managing and leading projects, ensuring timely delivery and successful implementation.
  • Staying updated with the latest advancements in machine learning and AI technologies to improve skills and knowledge continuously.

• PGP in Data Science, Great Lakes (in association with UT Austin) (2022)
• Bachelor's of Technology (2017)

• LinkedIn: Zainab Siddiqui