Data Science

PRATIMA PAUDEL

*****@****.*** +1-212-***-**** http://www.linkedin.com/in/pratimapaudel https://github.com/githubPratima TECHNICAL SKILLS:

• Programming Languages: Python, R, SQL, Scala, PL/SQL

• Libraries: Scipy, Scikit-learn, Numpy, Pandas, Seaborn, Matplotlib, ggplot, TensorFlow, PyTorch, Keras

• Tools: MS Office, RapidMiner, Tableau, Visual Studio Code, PyCharm, Oracle 19C, Minitab, Jupyter Notebook, GitHub, Google Office Suite, Excel

EDUCATION

• M. S. in Data Science (09/2021 - Present)

New Jersey Institute of Technology

• M.A. in Rural Development (2017 - 2020)

Saptagandaki Multiple Campus, Tribhuvan University

• B. Sc. in Chemistry (2014 - 2017)

Birendra Multiple Campus, Tribhuvan University

EXPERIENCE

Instructor Private Tutoring, Nepal (07/2017 - 05/2019)

• Tutored 5 to 10 students per month of Class 11 and class 12 for Physics and Chemistry Instructor Wise Vision English Boarding School, Nepal (09/2015 - 05/2017)

• Tutored Physics, Chemistry, Biology, and Mathematics for class 9 and class 10 PROJECTS

Smoke detection:

• Performed Some of the classifiers that we used in this project are KNeighbors Classifier, SGDClassfier, Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, AdaBoostClassifier, etc based on 13 features.

• The project helps to give a warning to people about the smoke fire, carbon monoxide, or other fire-related or general notification emergencies which are detected in their surroundings.

• Obtained accuracy of 99% for KNeighbors Classifier, Random Forest Classifier, Gradient Boosting Classifier, AdaBoostClassifier, 95% for Logistic Regression, 90% for SGDClassfier, Individual Project: Loan Prediction

• Implemented Naïve Bayes, Decision Tree Regressor to predict whether the applicant is suitable for loan approval or not based on 12 features

• Performed pre-processing, feature extraction, and computed feature importance using correlation (r > 0.5) and random forest.

• Obtained 67.5% accuracy with Decision Tree and 83.7% accuracy with Naïve Bayes Individual Project: Online Shopping Website

• Developed an end-to-end website on the local host by using Flask and Python, for the framework and MySQL for the database.

• Programmed a modular design of the website for easy accessibility and readability.

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