Data Analytics

SHRADDHA THAKKAR

Boston, MA ***** 857-***-**** *******.*@*****.***.*** linkedin.com/in/shraddha-thakkar8/ EDUCATION

Northeastern University Boston, MA Expected April 2020 Master of Professional Studies in Informatics, GPA: 3.66 Related Courses: Data Science, Intermediate and Predictive Analytics, Probability and Statistics, Data Visualization and communication, Database Systems

Gujarat Technological University Ahmedabad, India Aug 2014- June 2018 Bachelor of Engineering in Information Technology

Related Courses: Object Oriented Programing, Data structures and Algorithms, Database Management Systems, Web Technology, Big Data Analytics, Computer Systems and Networks, Operating Systems, Data Mining and Warehousing TECHNICAL SKILLS

Programming Languages & Database: Python, R, Java, C, MySQL Machine Learning Techniques: Exploratory Data Analysis (EDA), Data Manipulation (ELT), Linear Regression, Logistic Regression, Decision trees, Random Forest, K-means clustering, Support Vector Machine (SVM)

Web Technologies/Frameworks: HTML, CSS, Bootstrap

Tools: NetBeans, MS Excel (V lookups, Pivot Tables), Tableau, Visual Studio, Anaconda, Jupyter, GitHub

PROFESSIONAL EXPERIENCE

URO CLASSES - Website Developer Intern Dec 2017-May 2018

• Developed a website named E-CARE by using ASP.NET and C# that establishes a direct link between the healthcare facilities and the ones seeking for services

• It included new features that automate patient enrolment, maintains patient’s treatment history and overall reduces the workload in a healthcare administrative department

• It notifies the patient when the medical reports and medicines are available/generated. ACADEMIC PROJECTS

Boston- Is it Safe? -Northeastern University April 2019-May 2019

• Examined a dataset of Boston Crimes from Kaggle to analyze the occurrence of crimes in Boston

• Using R, performed Data Pre-processing, Exploratory Data Analysis, Data Visualization, and Hypothesis Testing to gain more insights

• Converted Data into actionable insights by predicting and modeling future outcomes using Time Series Analysis How much will a customer spend? -Northeastern University Jan 2019-March 2019

• Analyzed the Black Friday Sales Data to study and examine the purchases during Black Friday in order to gain consumer behavior insights

• Performed Exploratory Data Analysis (EDA), Data Pre-processing and Data Cleaning to identify and clean the data and get rid of the abnormalities from the dataset

• Using Python, conducted Exploratory Data Analysis (EDA), Data Pre-processing and applied Machine Learning Techniques such as Linear Regression Model, Ridge Regression Model, Decision Tree Model, and Random Forest Model to check which model had the highest accuracy

Major League Baseball (MLB) Game Prediction -Northeastern University Nov 2018-Dec 2018

• Utilized Batting data of Yankees and Red Sox and applied machine learning algorithms to large baseball data sets to derive meaningful insights into player and team performance for predicting outcomes (win or loss) in MLB

• Implemented Linear regression approach, Logistic regression and SVMs which predicts how many runs are scored by each team which helps to determine who won by a simple comparison of runs scored Global Terrorism Analysis -Northeastern University Oct 2018-Dec 2018

• Analysed the GTD (Global Terrorism Database) to find a model, using the available variables, for predicting the successfulness of terrorist attacks around the world

• Used python and applied different machine learning techniques such as Exploratory Data Analysis, Principal Component Analysis, Decision Trees and Random Forests to perform various predictions

• Users could input the longitude, latitude, time, attack type, weapon type and various other parameters of an expected terrorist attack to determine whether the attack would be successful or not CERTIFICATIONS

• Tableau Qualified Associate, Udemy

• IBM Data Science Professional Certificate, Coursera

• Data Analytics and Data Scientist with Python, Datacamp

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