Open to opportunities

Divya Chandran

@divyachandran

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AI/ML enthusiast with a passion for developing intelligent systems.

India

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What I'm looking for

I am looking for a role that allows me to innovate and grow in AI and machine learning.

I am a passionate and results-driven AI/ML enthusiast with a solid foundation in machine learning algorithms, data analysis, and programming languages like Python. My goal is to apply my skills in developing intelligent systems and predictive models, solving complex problems with a focus on continuous learning and innovation.

Throughout my academic journey and projects, I have gained expertise in supervised and unsupervised learning algorithms, deep learning frameworks like TensorFlow and Keras, and natural language processing techniques. I am eager to contribute to a dynamic organization that values creativity and data-driven solutions, while also looking for opportunities to grow and advance in the field of AI and machine learning.

Experience

Work history, roles, and key accomplishments

AI/Machine Learning Enthusiast

Self Employed

Sep 2021 - Dec 2022 (1 year 3 months)

A passionate AI/ML enthusiast with expertise in machine learning algorithms, deep learning, and natural language processing. Developed predictive models and intelligent systems, focusing on data-driven solutions and continuous learning.

Machine Learning Deep Learning Python Natural Language Processing Reinforcement Learning Data Analysis TensorFlow

Project: Naive Bayes Sentiment Analysis

Self Employed

Dec 2021 - Jan 2022 (1 month)

Developed a sentiment analysis model using LSTM to classify IMDb movie reviews as positive or negative, utilizing NLP techniques for data preprocessing.

TensorFlow Keras Natural Language Processing data preprocessing Word2Vec

Project: House Price Prediction

Self Employed

Nov 2021 - Dec 2021 (1 month)

Built a regression model to predict house prices based on features like area and number of rooms. Employed techniques such as hyperparameter tuning and data cleaning.

Python Pandas XGBoost Data Cleaning Hyperparameter Tuning

Project: Titanic Survival Prediction

Self Employed

Oct 2021 - Nov 2021 (1 month)

Developed a classification model to predict Titanic passengers' survival using machine learning algorithms like logistic regression and random forest. Focused on data cleaning and feature engineering.

Python Pandas Logistic Regression Random Forest Data Cleaning