Data Science student

ARUSHA KELKAR

******@********.*** • 646-***-**** • LinkedIn • GitHub • 8 Summer Pasture Lane, Brookfield, CT - 06804 EDUCATION

Columbia University New York, NY

MS in Data Science (GPA: 3.84/4.0) Aug 2019 - (Exp)Dec 2020 Courses: Applied Deep Learning, Machine Learning, Applied Machine Learning, Computer Systems, Exploratory Data Analysis and Visualization, Personalization Theory, Algorithms for Data Science, Probability and Statistics Visvesvaraya National Institute of Technology Nagpur, IND Bachelor of Technology in Computer Science and Engineering (CGPA: 8.99/10) Aug 2015 - May 2019 SKILLS

Programming Python, R, SQL, JavaScript, C

Python Packages NumPy, Pandas, Scikit- Learn, Beautiful Soup, Keras, TensorFlow, FuzzyWuzzy, Matplotlib, ggplot2, Seaborn Other Jupyter Notebook, R Studio, git, Excel, Tableau, FileMaker PROFESSIONAL EXPERIENCE

Department of Biomedical Informatics, Columbia University New York, NY Data Researcher Sep 2020 - current

• Structuring, cleaning and analysing data from Electronic Health records (JSON objects). Support ongoing research trials to make decisions around breast cancer prevention and analysis of patient and provider behaviour regarding genetic testing for breast cancer. Plentify Cape Town, SA(remote)

Data Science Intern May 2020 – Aug 2020

• Parameter Estimation for Electric Water Heaters using data frame manipulation. Data visualizations for identifying patterns of heating rate and thermal coefficient of geysers with time. Used Python (Pandas, Matplotlib, Datetime, Astral) and SQL for database access.

• Implementation of thermal model on Plentify fleet and looking at energy comparison for heating events. Resetting the model to the initial geyser temperature after an optimal duration of inactivity. Understood how the energy requirements change over time for users.

• Awarded the Social Enterprise Summer Fellowship at Tamer Center for Social Enterprise, Columbia Business School. Brown Institute for Media Innovation, Columbia Journalism School New York, NY Research Assistantship Feb 2020 – May 2020

• Worked on Data Collection and checking data consistency for the Covid- 19 Memorial Project in collaboration with THE CITY.

• Cleaned data and found insights in datasets which lead to a meaningful reporting story using Python.

• Created data visualizations for the news application using R and Python. Explored various fuzzy matching techniques for comparative analysis of two databases. Automated data collection process via web scraping using Beautiful Soup in Python. Systemantics India Private Limited Bangalore, IND

Summer Intern May 2018 - Jul 2018

• Project involved the use of Carriots (an IOT platform) to update the file configurations of the organisation's robot using a web interface remotely. Parameter validations were done. The technologies used were JavaScript, NodeJS and AWS. Salesforce India Private Limited Bangalore, IND

Summer Intern May 2017 - Jul 2017

• Lightning component is a framework for developing web apps on Salesforce Platform. Built Lightning Components for 2 different live projects using Lightning Design System, JavaScript and Apex.

PROJECTS

• Finding undiagnosed HS (Hidradenitis suppurativa) patients using EHR data Sep 2020 - current Developing a machine learning model that identifies HS patients on the basis of diagnosis, treatment and procedure data, and thereby overcoming the limitation of delayed diagnosis. Implemented an XGBoost Model with random oversampling done for class imbalance and analysed the features found important by the model. Maximised the model on F1-score for the two classes of people diagnosed with HS and not diagnosed.

• Predicting price of a used vehicle using Machine Learning model Mar 2020 Predicted price of a used vehicle by performing exploratory data analysis, pre-processing the data, hyper parameter tuning, feature engineering and model selection. Found CatBoostRegressor to be the best model amongst all with an accuracy of 80%.

• Predicting wine quality using Machine Learning model Apr 2020 Predicted wine quality from review texts and other properties of wine using bag of words, simple features and word vectors.

• Predicting Rating of a user using Deep learning Model Nov 2019 - Dec 2019 Implemented a Keras (TensorFlow) deep learning model for predicting the rating of a business by a user using his previous ratings.

• Movie Recommender System for Users Oct 2019 - Nov 2019 Implemented 2 collaborative filtering algorithms – Neighbourhood based KNN and Model based ALS using python surprise package, pandas and numpy for recommending top 10 movies to the user.

• Analysis of Deaths due to Drug Abuse Nov 2019 - Dec 2019 In-depth analysis of deaths due to Drug abuse cases in Connecticut state using R (packages: dplyr, ggplot, choropleth, etc.) and found insights with respect to temporal, causal and demographical aspects. INTERESTS/LEADERSHIP SKILLS

• National level Swimmer, Marathon Runner, Triathlons (Hyderabad Olympic Distance Triathlon winner),Cycling, Career Services Student Coordinator

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