Data Analyst
Resume:
Clerence Sequeira
****.********@*****.***
EDUCATION
o Queens College, CUNY, Flushing, NY
MA in Computer Science
Awarded Dec 2020
o Don Bosco Institute of Technology, Mumbai, India BS in Computer Science
Awarded June 2016
TECHNICAL SKILLS
o Programming Languages: C, Python, Java, Visual Studio o Technologies known/worked with: Android
o Web Technologies: HTML, CSS3, JavaScript, Bootstrap o Software Tools: Proficient in Microsoft Office, Android Studio, Eclipse, Tableau o Database: MySQL
WORK EXPERIENCE
IT Associate, DTDC Express Inc, New York, NY Oct 2016-Present o Collaborating with head office in setting IT policies, technical standards and methods o Coordinating all aspects of GetOnline (web-based application for booking and shipping packages) implementation
o Manage the administrative functions of the company, including accounting, invoicing and billing o Attend face to face meetings with end users and evaluate Rocksolid software to ensure that all bugs are fixed
o Ensure projects are completed within cost and time constraints o Provide technical support to colleagues and end users PROJECTS & COURSE WORKS
Prediction model for loan defaulters
o Built a decision tree to predict what type of loan borrowers are more likely to default in their payments.
o Also, compared this model with other models such as Logistic regression model and Random Forrest classifier to see which model gives a higher accuracy and high F1-score. Data Mining & Warehousing (Course)
o Studied the concepts needed to discover useful information from data and acquired the skill sets needed for designing/developing data collection instrument and the data mining techniques for predictive analytics.
Data Analytics (Course)
o Studied fundamental concepts spanning across statistics, cross validation, data visualization, data warehousing and used python as data manipulation and model development platform o Built various models using machine learning techniques such as linear and logistics regression, support vector machine, decision trees and natural language processing.
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