Data Analyst

Parth Saraiya

703-***-**** ● **** Tulane Dr. Apt #022, Hyattsville MD, 20783 ● *****.*******@*******.***.*** https://www.linkedin.com/in/parthritinsaraiya

Intern

EDUCATION

University of Maryland, Robert H. Smith School of Business College Park, MD, USA Master of Science in Information Systems, GPA 3.9 December 2020 Relevant Coursework: - Data Processing and Analysis in Python, Data Models and Decisions, Managing Digital Business Markets, Database Management Systems, Project Management, Google Analytics, Data Mining University of Mumbai, Rajiv Gandhi Institute of Technology Mumbai, MH, India Bachelor of Engineering, Information Technology, GPA 3.7 August 2015 – June 2019 Relevant Coursework: - Data Structures and Algorithms, Object Oriented Programming, Big Data Analytics, Cloud Computing, Database Management Systems, Data Mining and B.I., Computer Graphics and Virtual Reality TECHNICAL SKILLS

● Programming Languages: - Python, C, Java, SQL, HTML, R, JavaScript, NoSQL, PHP

● Tools: - Tableau, MySQL, Jupyter Notebook, MS Excel, StatTools, PrecisionTree, Pivot Tables, Apache Hadoop, Palisade @Risk, MS Word, Power BI

PROJECT EXPERIENCE

DataKicks (Python, Excel, Machine Learning) September 2019 – December 2019

● Scraped unstructured data across 50 statistical categories for 18K players (i.e. ~1M data points) from EA Sports’ FIFA 20, regression analysis and created an explanatory prediction model to arrive at an all-star team of 11 players

● Developed visualization of the results using Matplotlib and Seaborn to present actionable and analytical insights E.V. Charging System for University of Maryland (SQL, HTML, PHP, Tableau) September 2019 – December 2019

● Identified 20 requirements and business rules for the system

● Crafted a SQL script to create tables, implement business rules, and populate tables and developed queries and reports to illustrate features of the application

● Prepared opportunity evaluation and business reports for the proposed application

● Built an internal-facing version of the application for employees with centralized control, to administer customer information

Online Book Recommendation System Using Association Rule Mining and Collaborative Filtering (SQL, .NET, Machine Learning, Visual Studio, Tableau) September 2018 – June 2019

● Leveraged data mining techniques to recommend books to purchase based on user’s similarity of preferences derived from correlations between items in a large preexisting dataset; implemented Apriori algorithm to mine frequent itemsets and determined relationships between items, which led to a 42% growth in sales

● Resolved data sparsity and cold start problem that increased relevant matches by 40% WORK EXPERIENCE

Atidan Technologies Private Limited Mumbai, MH, India Software Engineering Intern June 2017 – July 2017

● Designed a user-friendly scientific calculator app on iOS using Objective-C, to execute calculations accurately

● Led daily technical tag-ups to review and prioritize client issues based on levels of effort and resource availability LEADERSHIP EXPERIENCE

Rajiv Gandhi Institute of Technology, Member of Student Council June 2018 – December 2018

● Managed the systematic functioning of Zodiac College Fest and undertook a variety of administrative tasks in order to keep it running smoothly for 1000+ students

Publications

● Journal: - International Journal of Computer Science and Mobile Computing Paper Title: - Study of Clustering Techniques in the Data Mining Domain Paper Title: - Online Book Recommendation System Using Association Rule Mining and Collaborative Filtering

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