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Data Analyst

Everett, Massachusetts, United States
November 07, 2018

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Ronit Patel

*** ******** ****** #*, *******, MA *2150 857-***-****!/ SUMMARY

Experienced and driven data analyst professional with knowledge of various kinds of databases and strong background in computer language programming. Able to mine hidden gems located within large structured and unstructured datasets to help create scalable Statistical and Machine Learning model EDUCATION

Northeastern University, Boston, MA, USA

June 2018

Master of Science in Informatics (Concentration in Data Analytics), (GPA: 3.82/4.0) Relevant Courses: Predictive Analytics, Data Management and Big Data, Probability Theory and Introduction to Statistics, Introduction to Analytics, Database Management System, Information System Design and Development Certifications from Udemy: Data Science with Real-life exercises, Complete Python Masterclass, Python for Data Science and Machine Learning, Data Science and Machine Learning with R, Tableau-10 Advanced Training with Data Certification in Java Programming from IT Souls, Vadodara, India Gujarat Technological University, Vadodara, Gujarat, India May 2015 Bachelor of Engineering in Electronics and Communications Engineering Relevant Courses: Fundamental of Image Processing, Advanced Engineering Mathematics, Calculus, Linear Algebra, Data Communication and Networking, Object Oriented Programming in C++ SKILLS

Operating System:




Windows, Linux

Python, Java, R, C++, C, HTML, CSS

MySQL, MS SQL Server, PostgreSQL, Oracle, SQLite, NoSQL, MongoDB Tableau, Power BI, MS Excel (Pivot Table), MS SSIS, WordPress, Tensorflow, NLTK, Hadoop, gretl EXPERIENCE

TAM Media Research Pvt. Ltd, Vadodara, Gujarat, India April 2015 - July 2016 Data Analyst

• Build SQL Server Integration Service(SSIS) packages using Microsoft Visual Studio to extract, transform and load data pertaining the content broadcasted on Indian TV news channels to data warehouse

• Maintain MS SQL Server database by reducing data redundancy and performing SQL queries to normalize database, derive patterns and extract the data related to TV news channel content ACADEMIC PROJECTS

Northeastern University, Boston, MA, USA

Bank Telemarketing Analysis and Prediction June 2018

• Analyzed Bank Telemarketing Dataset using graphs and charts with the help of python’s matplotlib and seaborn

• Implemented Machine Learning Classification models like Decision Support tree, Random Forest, Logistic Regression and K-Nearest Neighbor using python’s scikit-learn library to make predictions for a dependent variable and determine most accurate model using classification report and confusion matrix Image Classification Using CNN May 2018

• Build Convolutional Neural Network layers model using Keras library in python to classify images of different animals

• Evaluated CNN model by comparing the predictions with real test images ARIMA Time Series Analysis and Forecasting March 2018

• Conducted Time Series Analysis on google trend data for search result of ‘suicide’ word from 01/15/2017 to 04/18/2017 using ARIMA model

• Evaluated whether Netflix series ’13 Reasons Why’ influenced the increase in number of suicide case by comparing forecasted time series result with actual data after its release on 04/01/2017 Visualizing and Predicting Boston House Pricing Dataset June 2017

• Predicted the housing price of Boston House Pricing dataset by deploying multiple linear regression model in python using scikit-learn after splitting dataset into train and test data

• Visualized dataset using seaborn and matplotlib library in python to derive insights

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