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Data Science Intern

Location:
The Heights, NJ, 07307
Posted:
February 19, 2020

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Resume:

*** ****** ****** ****** **** UTSAV ARORA 1-929-***-****

www.linkedin.com/in/utsav491 adbvhw@r.postjobfree.com

OBJECTIVE To obtain an internship in the field of Data Science for summer 2020 EDUCATION Stevens Institute of Technology, Hoboken, NJ Expected May 2021 Master of Science in Data Science GPA 3.44/4.00

Related Courses: Applied Machine Learning, Introduction to Probability Theory, Web Mining, Big Data Technology

Manipal University Jaipur May 2019

Bachelors of Technology in Computer Science & Engineering SKILLS Programming Languages: Python (NumPy, Pandas, Seaborn, Matplotlib), R, C, SQL Certification: UDEMY Certificate on programming in python, Data Visualization through Tableau, Data Camp Certification on Supervised Machine Learning in Python, Introduction to R, Intermediate R Programming

Analysis : Data Analysis, Data Analytics, Hypothesis Testing, Regression Models Web Technologies: HTML 5, CSS3

Concepts: Chi Square, ANOVA, Regression, Classification, Decision Tree, KNN, SVM, K Means, Data Wrangling

Others: Microsoft Excel, Microsoft PowerPoint, Tableau, MS Word EXPERIENCE Humanitics Dimensions Limited, New Delhi, India May18- Aug18 Data Science Intern

• Formatted, cleaned, combined and filtered hundreds of line of data using Python’s Pandas and NumPy library

• Assisted in creating a clustering machine learning model to analyse customer life time value based on customer traits

ACADEMIC Stevens Institute of Technology

PROJECTS Movie Recommendation System Fall 2019

• Created a content based recommendation system to recommend movies to users using Python

• Implemented Cosine Similarity and TF IDF vectorization to find similarity between users and movies Manipal University Jaipur

Heart Disease Prediction Spring 19

• Predicted potential of Heart Disease in people from medical data using Python

• Implemented KNN, Logistic Regression and Decision Tree Classification Machine Learning Algorithms to achieve 84% accuracy

• Achieved an aggregated accuracy of 85% using Ensemble Learning Method called Voting Classifier Segmentation of Mall Customers Fall 2018

• Created a cluster of mall customers on the annual income and spending score using Python

• Implemented KMEANS Clustering Algorithm to classify customers into different groups

• Computed optimal value of K using elbow method

Salary Prediction of Employees Fall 2018

• Predicted salary based on the work experience of the employees using Python

• Achieved 97.5% accuracy on test data using Linear Regression



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