Skip to content
View akulez's full-sized avatar

Block or report akulez

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
akulez/README.md

Hey everyone, I'm AkulπŸ‘‹

A Data Analytics and Machine Learning Enthusiast πŸ‘¨β€πŸ’»

  • 🌱 I’m currently majoring in Data Science with a minor in Finance at the City University of Hong Kong

  • πŸ’‘ I particularly enjoy exploring the intersection of data science and finance.

  • πŸ‘¨β€πŸ’» I'm usually working on building πŸ€– Data Analytics & Machine Learning projects.

  • πŸš€ My past experience includes interning at a πŸ“ˆ Stock Exchange Group & at an 🏒 Insurance Company.

  • πŸ“« If you have any questions, collaboration opportunities or just want to have a chat, feel free to contact me at akul0605@gmail.com

Connect with me:

malhotra_akul akul-malhotra

Languages and Tools:

azure cplusplus heroku mysql opencv oracle pandas python pytorch

Popular repositories Loading

  1. Sales-Prediction-Time_Series_Analysis Sales-Prediction-Time_Series_Analysis Public

    Time Series Analysis and Forecasting for an online store using LSTM and CatBoost Algorithm.

    Jupyter Notebook 2

  2. Kaggle_S3_E14_Competition Kaggle_S3_E14_Competition Public

    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

  3. Twitter_Emotion_Analysis Twitter_Emotion_Analysis Public

    Predicting Depression from Twitter Tweets using Classical Algos. like TF-IDF, Decision Trees, Random forests and Logistic Regression.

    Jupyter Notebook 1

  4. NLP-Topic_Modeling NLP-Topic_Modeling Public

    Topic Modeling on BBC News using Facebook's FastText embeddings and LDA probabilistic model.

    Jupyter Notebook 1

  5. Kaggle_competition_Machine-Failures Kaggle_competition_Machine-Failures Public

    An ensemble of 3 models - AdaBoost, XgBoost and Random Forests to classify machine failures.

    Jupyter Notebook 1

  6. Text-Similarity_Phrase-Matching Text-Similarity_Phrase-Matching Public

    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