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Computer Science

Syracuse, New York, United States
April 10, 2018

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Sanjana Kiran

Contact: 315-***-**** Email:


Developer Intern- Sakhatech Information System Pvt Ltd Feb 2016 to Apr 2016

Developed a model to estimate the financial status of the client.

Generated ARFF files from client Short Message Service (SMS) after Feature Testing.

Used WEKA tool Machine Learning Algorithms such as Decision trees, Naïve Bayes to classify the data into Financial and Non-Financial and further more classification on preprocessed data.

Evaluated model using precision, recall, F1-score measures. Research Assistant at Syracuse University Nov 2016 to Mar 2017

Using Data Science to gain insight on information spreading in social media.

Finding users who are likely to spread the topic, involve themselves and get others involved. TECHNICAL SKILLS

Languages: Python, R Programming, Java, SQL, C++, Spark(ongoing)

Environment: Pycharm, Jupyter Notebook, R Studio, WEKA, Eclipse, Visual Studio

Tools and Libraries: Numpy, Scikit, Pandas, NLTK, Tableau

Others: Machine Learning, Data Mining, Natural Language Processing, AWS(ongoing), Html5, CSS, JavaScript


Movie Recommender System Feb 2017 to Apr 2017

Developed movie recommendation system based on previous movie ratings in MovieLens.

Performed statistical analysis and used RDBMS to perform Data Exploration, Pre-processing.

Implemented various Data mining techniques such as K Nearest Neighbors, Single Value Decomposition and Association Rule Mining.

Developed and deployed on R-shinny app.

Value Estimator Jan 2018 to Feb 2018

Developed Supervised Learning model to predict the value of the house in the real estate using Machine Learning(Gradient boosting Regressor) and statistical analysis tools.

Optimized the model using GridSearchCV for better prediction. Sentimental Analysis Sep 2017 to Dec 2017

Feature functions- Negation, Bigram, Parts of speech, Subjectivity of sentence using Natural Language Processing to determine the sentiment on IMDB movie_reviews dataset.

Trained Naïve Bayes classifier on different features and compared the performance with the baseline.

Remote Code Publisher Feb 2017 to Apr 2017

Developed a Message Passing communication system.

Server accepts the text file from client, finds dependent files of text file and returns the hyperlinks of dependent files along with the source code. EDUCATION

Syracuse University Syracuse, NY May 2018

M.S in Computer Science

Course Work- Fundamentals of Data Mining, Natural Language Processing, Social Media and Data Mining, Human Computer Interaction, Design and Analysis of Algorithms, Object Oriented Design. RNS Institute of Technology Bengaluru, India June 2016 Bachelors of Engineering in Computer Science

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