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Hi there šŸ‘‹, I'm Harshita "Hershey"

CS graduate student at George Washington University specializing in Data Science & Analytics

  • šŸ”­ Iā€™m currently working on improving my Tableau /PowerBI Portfolio

  • šŸ‘Øā€šŸ’» All of my projects are available on my pages portfolio

  • šŸ’¬ Ask me about all things data and machine learning

  • šŸ“« How to reach me [email protected]

  • āš” Fun fact I love memes and the Twilight Saga (Yes, the problematic YA series about teenage vampires)

    Screenshot

Connect with me:

harshita-chadha hersheychadha

Languages and Tools:

cplusplus java matlab mysql opencv oracle pandas python pytorch scikit_learn seaborn tensorflow

Harshita Chadha's Projects

agricode icon agricode

Research project to study the impact of novel clustering based WBAN protocol in the real world. The results of the study are promising and indicative of an approximately 38% reduction in water consumption.

clustering-us-colleges-coursera-capstone icon clustering-us-colleges-coursera-capstone

The project was created as a part of the final requirement for the completion of the IBM professional certification as offered on coursera. It leverages the Foursquare API as well as the US colleges data set from 1995 obtained from gaggle to segment and cluster colleges.

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

data-mining-in-archeology icon data-mining-in-archeology

Using KModes clustering, silhouette analysis, fuzzy string matching, association rule mining, and random forest classifier to to unveil the patterns found in ancient artefacts.

data-mining-script-rating-prediction icon data-mining-script-rating-prediction

Using techniques such as named entity recognition, apriori algorithm and sentiment analysis to convert text script to attributes to predict TV series ratings using Ensemble Learning (Gradient and AdaBoost stacked model).

jessie icon jessie

Project made in the DSCBVP MANIFESTE

mlpb icon mlpb

Machine Learning Problem Bible | Problem Set Here >>

mlprep icon mlprep

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

recurrent-rhapsody icon recurrent-rhapsody

A bidirectional LSTM, Vanilla RNN, and S-BERT based pipeline for song generation (complementary lyrics-backing track combination)

scalnet7 icon scalnet7

Convolutional Neural Network for detecting Schizophrenia in adolescents using Wavelet Transforms plots of EEG signals.

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