Statistics, Machine Learning, Data Management, ETL, Python, R

Parthivi Shrivastava

adh0k5@r.postjobfree.com • 503-***-**** • https://www.linkedin.com/in/p31593s/ EDUCATION

• Master of Science in Information Science & Technology Rochester Institute of Technology, GPA: 3.48/4.0

May 2021

• Bachelor of Engineering in Computer Science & Engineering Rajiv Gandhi Technical University, India

June 2015

TECHNICAL SKILLS

Languages: Python (NumPy, Scikit-Learn, Pandas, OpenCV, TensorFlow, Matplotlib), R, SAS, Java, Html, CSS, JavaScript, Xml, AJAX, jQuery, SQL

Tools: Weka, Tableau, Power BI, Pentagon, Microsoft Excel, Microsoft Visual Studio, Microsoft Powerpoint, Jupiter Notebook, NetBeans, R Studio, Android, Overleaf, Git, Anaconda, Google Colab Databases: SQL, NoSQL (Mongo DB)

Courses: Text and Data Mining, Analytical Thinking, Database Implementation, Data Warehousing, Data Visualization and Analytics, Client Design & Development, Statistical Machine Learning, Statistics, Internet of Things GRADUATE PROJECTS

• Realtime Facial Emotion and drowsiness Recognition for Driver’ Safety Aug 2020 – Ongoing Developing a system using Keras, OpenCV that detects face expressions and drowsiness of a driver to ensure road safety

• U.S Airlines Twitter Sentimental Analysis Jan 2020 – May 2020 Performed NLP to analyze user sentiments by implementing Naive Bayes classification algorithm, identify the text polarity based on user positive, negative & neutral tweets with 87% accuracy

• Information Retrieval System Feb 2020 –April 2020 Developed web-based IR system to retrieve Boston crime information and location on google maps using MongoDB server, Python programming, Flask, HTML5, CSS

• Data Warehouse Design & Development Aug 2019 – Dec 2019 Designed the data warehouse for data management of a product company using SQL. Used SAS for data integrity and ETL

• Dashboard using Tableau Aug 2019 – Oct 2019

Designed a dashboard to visualize the trends of the diseases in rural and urban parts of Nigerian states from 2009 to 2018

• GRADPREC: A system for Graduate Admission Prediction May 2019 – Aug 2019 Developed classification model Naive Bayes, ONER, and Binary Tree to analyze data and predict graduate admission using R

• Classification Algorithm Analysis Jan 2019 – May 2019 Implemented different classification algorithm like Naive Bayes, KNN clustering, Decision Tree using different text retrieval techniques based on Inverted and Positional indexing

• Loan Prediction using Weka Jan 2019 – Feb 2019

Used statistical modeling for analyzing data. Achieved 91% accuracy with logistic regressions PROFESSIONAL EXPERIENCE

Rochester Institute of Technology - Design Assistant USA Sept 2019 – May 2020

• Point of contact for the graduate education office

• Helped marketing team to analyze the most viewed content on the OGE website the site search via google analytics

• Created Visualizations using Tableau for reporting the budget estimates for the semester

• Finding Innovate ideas for promoting educational and recreational events INXPO/West Corporation – IT Solution Specialist India June 2017 - July 2018

• Developed and maintained INXPO’s proprietary Webcasting products like Studio, Virtual Events and, Social Business TV

• Performed bug fixes pre and post product releases, verified and logged bugs as reported by internal teams or clients

• Retrieved and maintained data related to webcast information using MySQL Workbench

• Performed ETL using SAS on the data to ensure data integrity

• Report creation and management for encountered incidents to help internal teams DXC Technology/Hewlett Packard Enterprise – Technical Support Analyst India July 2016 - June 2017

• Provided end to end product support for the client Molson Coors

• Created Incidents and Service Request on the Service Manager, analyzed the incident severity and assigned to the respective teams for resolutions

• Communicated with senior analyst for problem resolutions of product issues

• Enabled customer service satisfaction by creating dashboards using Tableau that aided in delivering real time feedback

• Worked on open tickets to resolve application related issues reported by the users

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