Analysis

TWINKLE GHATORIYA

http://www.linkedin.com/in/twinkleg adb46l@r.postjobfree.com 551-***-****

EDUCATION

STEVENS INSTITUTE OF TECHNOLOGY Hoboken/NJ

Master of Science in Information Systems (Major: Business Intelligence and Analytics) May 2020 Coursework: Multivariate Data Analysis, Web Mining, Data Warehousing / Business Intelligence, Project Management, Knowledge Discovery Databases, Financial Decision Making SIPNA COLLEGE OF ENGINEERING Amravati/India

Bachelor of Engineering, Computer Science May 2018 Coursework: Object Oriented Programming, Database Management Systems, Operating System, Computer Networks SKILLS & CERTIFICATIONS

LANGUAGES: Python (Pandas, NumPy, matplotlib, Seaborn, Scikit-learn, NLTK), Java, R, SQL, Dart DATA TOOLS: Advanced Excel, Google Analytics, Tableau STATISTICAL ANALYSIS/MACHINE LEARNING: Linear & Logistic Regression, Decision Trees, Random Forest, Clustering OPERATING SYSTEMS: Linux, Windows, MacOS

DIGITAL MARKETING: SEM, SEO, Copywriting, Web Designing EXPERIENCE

ZILLION TECHNOLOGIES Ashburn/Virginia

Mobile Application Development Intern June 2019-August 2019

• Conceptualized and programmed hybrid mobile application using flutter framework

• Implemented critical features including user authentication, integrating web services and designing underlying database

• Collaborated with cross-functional teams to define, design, and ship new features FOURWALLS Mumbai/India

Product Analyst Oct 2017-August 2018

• Oversaw market research projects to guide new product launches, using techniques such as market sizing, in-depth interviews, and competitive landscaping

• Configured dashboards using regression models with high-impact metrics to drive product usage and service delivery across Indian markets

• Created a buyer-centric tracking method in salesforce to improve engagement scores across over 100 clients CASHMERE WEAVERS Mumbai/India

Market Research Analyst Intern May 2017-May 2018

• Gathered and manipulated online traffic data to perform operational analysis as well as to provide timely intelligence and insights to team; helping them understand tactics to increase customer retention rate

• Proposed marketing tactics which align with the data insights to increase organic traffic or online user registration by 15%

• Analyzed all financial information to improve efficiency and profitability; proposed business plan with new initiative based on findings; which generated the highest revenue by the end of 2017 PROJECTS

Sentiment Mining on YouTube Comments for Different Products Spring 2019

• Analyzed over million records of YouTube comments for mobile phones using Python

• Performed Sentiment Analysis on comments using Natural Language Processing toolkit

• Used technologies like Natural Language Processing toolkit, Sci-kit Learning, Pandas Predictive model for analysis of Student Performance Spring 2019

• Analyzed data and implemented feature visualization to render correlation and patterns using R’s ggplot and corrplot

• Executed data re-sampling techniques leveraging R’s rose package and smote to counter imbalance data

• Built and evaluated classification models such as Naïve Bayes, KNN, C4.5, random forest and neural network to classify student performance, using R

Data Warehousing Implementation for OLAP Fall 2018

• Devised an end to end data warehouse and business intelligence systems

• Built dimensional model, aggregated tables and OLAP cubes for query and analytics in SQL server

• Analyzed unstructured data for designing customer behaviors dashboards in Tableau for end users and presented a data-driven business case

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