Sentiment Analysis, Recommendation System, Classification, Data Mining

About:

Projects Developed: Campaign Analytics, Credit UnderWriting, Cab Driver Insurance Prediction, Sentiment Analysis, Spam Filtering, Movie Recommendation, Stock Prediction



Statistical Learning Expertise:

Descriptive, Inferential and Prescriptive Statistics and Exploratory Data Analysis.



Machine Learning:

Regression Models - Simple, Multiple and Logistic Regression 

Classification Problems using KNN, Decision Trees - Bagging(Random Forest) and Boosting(GBM and Xgboost), Naive Bayes, SVM and Neural Networks.



Unsupervised Learning: PCA, K-means & Hierarchical Clustering.



Model Building: Python (Numpy, Pandas, Scikit-Learn, Theano, Keras, Tensorflow and BeautifulSoup)



Visualization: Python (Matplotlib, Plotly), Kibana (Elastic Search)



RDBMS: MySQL



Version Control: GIT 



Achievements in data science competitions:

- Top 2 % finish (Placed 4/ 380) ( Vortex Machine Learning Challenge, organized by NIT Trichy on HackerEarth)

- Top 5 % finish (Placed 21 /504) (Recommendation Hackathon, organized by IIT(BHU) on Analytics Vidhya)

Reviews

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Great, thorough work with fast delivery. Recommended

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The work was great, everything was fast and the communication was awesome. Highly recommended.

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great service

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Fast and uncomplicated delivery. Is always there to help!

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Good work...