SESHU BABU KOLLIPARA

Weather Data Scraper  

• Utilized Scrapy Python Library to receive real-time data about Weather in different  countries .

• Developed Interactive Dashboard with Power BI.

TweetVibesFeb15 

• Predicted the vibe on tweets made about different airlines in Feb 2015

• used Mapreduce with Java on Hadoop for preprocessing.

• Build a matrix of word bag for each tweets with class label, and we could directly use the matrix to train the models

• Used spark.mllib package to build different machine learning models including logistic regression, decision trees, random forests, naive Bayes to predict tweets sentiments

Crop Yield Prediction

• Used Pandas DataFrame with python for preprocessing.

• Used Python libraries like Scikit-Learn and XGBoost for model development and evaluation.

• Used KNIME's data visualization tools to explore and visualize the data.