NITIN PARMANAND HAZARANI

1-551-***-**** adjls7@r.postjobfree.com Jersey City, NJ LinkedIn-NitinHazarani EDUCATION

Stevens Institute of Technology, School of Business, New Jersey, USA May 2021 Master’s in Information Systems (GPA-3.97)

Relevant Coursework: Data Analytics and Machine Learning, Applied Analytics, Big Data Technologies, Financial Decision Making, Data Warehousing and Business Intelligence, Web Mining, Project Management Fundamentals University of Mumbai, V.E.S. Institute of Technology, Maharashtra, India May 2019 Bachelor’s in Computer Engineering

SKILLS

Languages and Frameworks: Python, Java, SQL, C, R, NLP, Rest API, Flask, Angular, HTML, CSS, Hadoop, Spark, PHP, JavaScript Tools/Technologies: Tableau, MySQL, MongoDB, AWS, Docker, Kubernetes, CloudFormation, ETL, Scikit, Pandas, Tensor flow, Google Analytics, Jupyter Notebook, Git, Power BI, Microsoft Excel, Microsoft PowerPoint, Microsoft Azure, JIRA, SSAS, SugarCRM, Google API, WordPress, Lucid Chart, NodeJS, ReactJS, Active Campaign, SharePoint Operating Systems: Linux, Unix, Windows

Knowledge Areas: Business Intelligence, Data Warehousing, Data Analysis, Data Visualization, Data Pre-Processing, Data Modelling, Data Integration, Frontend, Backend, Salesforce

PROFESSIONAL EXPERIENCE

Royal Truck & Equipment Inc., Coopersburg, PA, USA June 2020-Present Software Engineer Intern

● Developed Customized NLP, ML modules to facilitate supervised classification of industry data

● Created and re-designed web pages, improved UI, customized PHP and maintained the website in WordPress

● Managed the CRM system and clean-up of duplications, null data which increased efficiency of the whole system

● Saved the company approximately $100,000 and thousands of manual hours by implementing address validation tool

● Collected the data from various sources analysed using Google analytics to increase their sales and reported gaps on data

● Debugged and fixed critical non-production issues in an Agile Development following SCRUM methodology

● Worked with software team to coordinate development of new software features and resolve issues Stevens Institute of Technology, Hoboken, New Jersey, USA May 2020-October 2020 Data Analyst (RA)

● Web scrapped top 62 websites of the companies that have consistently appeared in “Fortune 100 Best Companies to Work For” to analyse their Covid-19 response

● Conducted research under the dean of college and Developed customized NLP to facilitate supervised classifications of data Sam’s Test (samstest.com), Mumbai, India March 2018-May 2018 Web Developer Intern

● Developed a website in Angular and Firebase to prepare students for various competitive exams Tcent, Mumbai, India October 2017-December 2017

Business Data Analyst Intern

● Fostered real-time business reports & dashboards from SQL Databases and increasing sales by 9% in 2 months

● Conducted market research, proposal preparation, pricing, PowerPoint presentation development to assist staff

● Presented insights on customer revenue statistics to leadership board for monthly strategic planning using Tableau Applab Technologies, Mumbai, India June 2017-October 2017 Software Engineering Intern

● Created an employee management system in java integrated with oracle database system and designed an interactive GUI

● Devised a report generating system that gives detailed reports about salary, leaves, registration and attendance PROJECTS

Stock Analysis & Forecast

● Web scraped stock statistics for over 500 stocks to perform Time Series Analysis

● Built an interactive dashboard using Power BI that allows users to make data-driven decisions

● Developed and evaluated different models to forecast stock prices using ARIMA, kNN Titanic Machine learning from Disaster

● Developed a model to predict the survival of a passenger on RMS Titanic based on training dataset of 891 people

● Performed exploratory data analysis to identify outliers and pre-process data using NumPy and Pandas

● Compared different classification algorithms such as kNN, Decision Tree, Logistic Regression, Naïve Bayes and Linear SVM and observed that Linear SVM gave highest accuracy of 80% Automatic Sentiment Analysis of User Reviews

● Designed project to sort customer reviews based on their ratings/effectiveness

● Included a system that uses concepts of data mining that helps in identifying and extracting reviews from different websites using crawling techniques and achieved accuracy of 94% Cardiac Arrest Prediction to Prevent Code Blue Situation

● Designed to predict occurrence of cardiac arrests, to allow resources to be allocated to patients on an urgent basis

● Predictive model based on Artificial Neural Networks, whereby the system trains itself through the dataset of patients ACTIVITIES

● Volunteered at a NGO named “S.Simran Seva Prathisthan” for more than 3 years

● Paper Published titled “Automatic Sentimental Analysis of User Reviews” in “International Journal of Information and Computation Technology (IJICT) (Paper Code-18075-IJICT)''

Contact this candidate