Aishwarya resume
- 1. AISHWARYA VANTIPULI Boston, MA - 02120 | +1(217)-695-4626 | email: Vantipuli.a@husky.neu.edu. | LinkedIn | GitHub Available: From January 2020 EDUCATION_______________________________________________________________________________________________ Northeastern University, Khoury College of Computer Sciences, Boston, MA Jan 2019 – Dec 2020 Candidate for a Master of Science in Data Science (MSDS) ? Related Courses: Supervised Machine Learning, Unsupervised Machine Learning, Data Structures and Algorithms. Jawaharlal Nehru Technological University, Hyderabad, India Sept 2013 – May 2018 Bachelor of Technology, Information Technology (IT) ? Related Courses: Programming in C and Java, Artificial Intelligence, Information Retrieval Systems, DBMS. TECHNICAL KNOWLEDGE_________________________________________________________________________________ Programming Languages : R, Python, SQL, C, Java Libraries/Packages: Numpy, Pandas, Scikit-learn, Matplotlib, ggplot2, tidyr, dplyr Database Technologies : My SQL, Oracle IDE/Tools : RStudio, Jupyter, Eclipse, Tableau, Advanced Excel, AWS, Google Collab Analytical Techniques : Regression Techniques, Tree-based models, K-Means Clustering, KNN, Cross-validation, Text Analytics, SVM, Principal Component Analysis, Bayesian Analysis. ACADEMIC PROJECTS_____________________________________________________________________________________ Northeastern University, Boston, MA ? Virginia Transgender Health Initiative Study: Investigated attempted suicide rates among Transgender in comparison to National average of suicide rates of general US population and factors leading to suicidal tendencies. ? Trump’s Campaign Speeches Data: Examined Trump’s campaign speeches given between June 2015 to November 2016 to figure out most frequent words and sentiments with text mining and sentiment analysis. ? Reviews of the top 6 companies Data: Generated geo-spatial data for the locations using Google ggmap Package. Represented best company to work based on ratings and identified on an interactive Map. ? Restaurant Review Database Application: Delivered a data-driven web application that is built on top of relational model with 100K rows of Data extracted using Yelp API. ? Diabetic Retinopathy Detection: Creating an automated Machine Learning system capable of assigning a score based on severity scale ranging from (0) No DR to (4) Proliferative DR using Keras. WORK EXPERIENCE_______________________________________________________________________________________ Younify, Hyderabad, India May 2017 – Dec 2018 Data Analyst ? Collected, cleansed and provided modeling and analyses of structured and unstructured data used for major business initiatives. ? A 15% reduction in transportation costs, resulting 12% increase in annual savings. Presented data and conclusions to team in order to improve strategies and operations. ? Proposed Business insights for NISSAN using Instagram Analytics. Data is extracted using Instagram API. ? Utilized MYSQL, data warehousing programs, Tableau and other dashboard/visualization toolsets for data intelligence and analysis. PERSONAL PROJECTS______________________________________________________________________________________ ? Image Recognition: Attained 99.5% accuracy by training a Convolutional Neural Network (CNN) on MNIST data predicting Hand written digits through webcam using Open CV ? Boston Housing Data: Created an interactive Tableau dashboard to compare per capita crime rates and its spurious correlation with distance from Boston employment centers, number of rooms per dwelling and accessibility to highways. ? US Department of Education’s Civil Rights Data: Explored whether Black students received a disproportionate number of in-school suspensions in contrast to students of other races CERTIFICATIONS__________________________________________________________________________________________ ? Data Analysis with Python – IBM Cognitive Class Jun 2018 ? Python for Data Science– Data Camp Aug 2018 ? Machine Learning – Coursera Aug 2108