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π± Iβm currently majoring in Data Science with a minor in Finance at the City University of Hong Kong
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π‘ I particularly enjoy exploring the intersection of data science and finance.
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π¨βπ» I'm usually working on building π€ Data Analytics & Machine Learning projects.
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π My past experience includes interning at a π Stock Exchange Group & at an π’ Insurance Company.
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π« If you have any questions, collaboration opportunities or just want to have a chat, feel free to contact me at akul0605@gmail.com
- Hong Kong SAR
- in/akul-malhotra
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Kaggle_S3_E14_Competition
Kaggle_S3_E14_Competition PublicImplemeting Modern Day Boosting algos like LightGBM, XgBoost and Catboost to predict yield of Wild Blueberry, done as part of a Kaggle Competition.
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Twitter_Emotion_Analysis
Twitter_Emotion_Analysis PublicPredicting Depression from Twitter Tweets using Classical Algos. like TF-IDF, Decision Trees, Random forests and Logistic Regression.
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NLP-Topic_Modeling
NLP-Topic_Modeling PublicTopic Modeling on BBC News using Facebook's FastText embeddings and LDA probabilistic model.
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Kaggle_competition_Machine-Failures
Kaggle_competition_Machine-Failures PublicAn ensemble of 3 models - AdaBoost, XgBoost and Random Forests to classify machine failures.
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Sales-Prediction-Time_Series_Analysis
Sales-Prediction-Time_Series_Analysis PublicTime Series Analysis and Forecasting for an online store using LSTM and CatBoost Algorithm.
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Text-Similarity_Phrase-Matching
Text-Similarity_Phrase-Matching PublicImplementing Text Similarity for US Patents using modern day Word2Vec and USE(Universal Sentence Encoding) and some classical algos. like Jaro Winkler and Jaccard
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