Yash Raj

Chicago, IL, ***** adlrm5@r.postjobfree.com 312-***-****

https://www.linkedin.com/in/yash-raj15 https://github.com/yashraj15 EDUCATION

Master’s in Computer Science, Illinois Institute of Technology, Chicago, GPA: 3.33 (Graduating in May 2021) Specialization: Data Analytics

Relevant coursework: Machine Learning, Data Mining, Advanced Data Mining, Online Social Network Analysis Bachelor of Technology (B.Tech.) - Computer Science, Jawaharlal Nehru Technological University Hyderabad

(Aug 2014 - May 2018)

Relevant coursework: Data Warehousing and Data Mining, Programming in C, Object-Oriented Programming in Java, Data Structures

SKILLS

Languages: Python, R, C++ (Basic), Java

Databases: MySQL, MongoDB (Basic)

Frontend Technologies: JavaScript, HTML, CSS, React, Bootstrap Backend Technologies: Node.js, Java-Servlets, JDBC, JSON Industry Knowledge: Agile, REST, Object Oriented Design IDEs/Editors: R Studio, Spyder, Jupyter, Google Colab, Visual Studio Code, Sublime Text, Atom Tools: Anaconda, PySpark (Basic), Git, MySQL Workbench, MongoDB compass, MS Office Operating Systems: Windows and Linux environments. EXPERIENCE

• Business Analyst, Burgeon IT, Hyderabad, India (Jun 2018 – Mar 2019)

• Collaborated with MENA-based Restaurants & Foods company in multiple Growth Consulting, CRO, BI, Advanced Analytics and SEO projects to achieve a digital revenue of $100M ( 55% YoY) across 3 brands & 9 markets.

• Designed meaningful dashboards from warehousing and ETL data collected from multiple sources leveraging MySQL and visualized to serve business cases and reducing team's manual toil by 40%. PROJECTS

• Text Classification (Natural Language Generation) (Jan 2021 – Present)

• Leveraged GPT – 2 to generate language on an existing news article dataset and append new text to increase the size of the training data and further perform text classification in Python. Achieved an F1-score of 95%

• Fake News Detection (Oct 2020 – Dec 2020)

• Directed a team of two to analyze knowledge graphs obtained from news resources for detection of fake news by utilizing Python and C++ libraries.

• Converting these knowledge graphs to triples and extracting accuracy metrics achieving F-measure of 73%.

• Social Media Analytics (Aug 2020)

• Employed vosonSML package in R, crawled twitter data using Twitter API, cleaned tweets and applied graph algorithms to form a diffusion network. Discovered a pattern where subgraphs of diffusion network formed an echo-chamber.

• The Social Network (Web Application) (Aug 2019- Dec 2019)

• Developed an innovative hybrid networking website, a one-stop shop for both social and professional networking. End users can switch between Social and Professional feeds.

• Utilized Twitter API to display tweets relating to current career trends. Accomplished task by implementing JavaScript, Python, MySQL, MongoDB

• Data Querying and Analysis: Apache Hive (Aug 2017)

• Managed large datasets and performed extraction, transformation and loading of data using SQL in collaboration with a team of three.

• Discord Bot: C# (Jul 2017)

• Developed a Discord Chat Bot by implementing C# . The bot responded to texts from users and played music from YouTube API.

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