Pooja


Experience: 5+ Years
Qualification: ME IT
University Name: GTU


Abstract


● Experienced AI/ML developer with 5+ years of experience in the industry.
● Proven ability to design, develop, and deploy AI/ML solutions.
● Strong skills in machine learning, deep learning, natural language processing, and computer vision.
● Experience with a variety of AI/ML frameworks and tools.
● Excellent programming skills in Python, Java, and R.
● Strong analytical and problem-solving skills.
● Ability to work independently and as part of a team.
● Passionate about using AI/ML to solve real-world problems.


Technical Skills



Technologies Python, JavaScript , HTML , CSS, Django ,Flask ,jQuery,
NumPy , Pandas , Matplotlib, Scikit-learn, TensorFlow, MySQL,
PostgreSQL
Tools / Platforms Git , Docker


Work Experience


1. Senľimenľ Analysis




Role: Sr. Python Developer

Tools & Technologies: LSTM, TensorFlow

Description:

Sentiment analysis is a technique for analyzing a piece of text to determine the sentiment contained within it. It accomplishes this by combining machine learning and natural language processing (NLP).



2. Named Entity Recognition (NER) using Deep Learning

Role: Sr. Python Developer

Tools & Technologies: LSTM, TensorFlow

Description:

In Machine Learning Named Entity Recognition (NER) is a task of Natural Language Processing to identify the named entities in a certain piece of text.. For example – “My name is Aman, and I am a Machine Learning Trainer”. In this sentence the name “Aman”, the field or subject “Machine Learning” and the profession “Trainer” are named entities.

3. Bird Species Recognition using Deep Learning
Role: Jr. Python Developer

Tools & Technologies: Python, PyTorch, Streamlit

Description:

A web application to automatically detect bird species through
images using deep convolutional neural network(CNN). Trained
the machine learning model with almost 48,000 sample images
and received overall accuracy of 92%.



4. Singapore HDB Resale Price Prediction
Role: Jr. Python Developer
Tools & Technologies: Python, React JS, Django, Pandas, Scikit-learn

Description:

Used Linear Regression technique to predict HDB
selling price based on:
◦ Its distance to the Central Business District.
◦ Its distance to the nearest MRT station.
◦ Its flat size.
◦ Its floor level.
◦ Its remaining years of lease