🌱 I’m currently majoring in Data Science with a minor in Finance at the City University of Hong Kong
💡 I particularly enjoy exploring the intersection of data science and finance.
👨💻 I'm usually working on building 🤖 Data Analytics & Machine Learning projects.
🚀 My past experience includes interning at a 📈 Stock Exchange Group & at an 🏢 Insurance Company.
📫 If you have any questions, collaboration opportunities or just want to have a chat, feel free to contact me at akul0605@gmail.com
Time Series Analysis and Forecasting for an online store using LSTM and CatBoost Algorithm.
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Implemeting Modern Day Boosting algos like LightGBM, XgBoost and Catboost to predict yield of Wild Blueberry, done as part of a Kaggle Competition.
Jupyter Notebook 1
Predicting Depression from Twitter Tweets using Classical Algos. like TF-IDF, Decision Trees, Random forests and Logistic Regression.
Jupyter Notebook 1
Topic Modeling on BBC News using Facebook's FastText embeddings and LDA probabilistic model.
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An ensemble of 3 models - AdaBoost, XgBoost and Random Forests to classify machine failures.
Jupyter Notebook 1
Implementing Text Similarity for US Patents using modern day Word2Vec and USE(Universal Sentence Encoding) and some classical algos. like Jaro Winkler and Jaccard
Jupyter Notebook 1
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