Sujay Idagunji

Drachman St Tucson, AZ ***** adhj7n@r.postjobfree.com 520 (275)-9410 www.linkedin.com/in/sujayi https://sujayi.com SUMMARY

Tableau Desktop Specialist with experience in creating digital products and developing actionable data-driven insights to meet customer needs. Strong analytical and decision-making skills with the ability to extract, analyze, research, and link complex data to solve business problems using SDLC. Detail-oriented professional with a growth mindset and strong collaborative, quantitative, and collaborative skills EDUCATION

Master of Science in Management Information Systems (MIS) Dec 2020 University of Arizona, Eller College of Management, Tucson, AZ GPA -3.61 Courses: Data Mining, Enterprise Data Management, Business Consulting, Big Data Tech, Business Intelligence Bachelor of Engineering in Electronics and Communication May 2019 Sri Jayachamarajendra College of Engineering, Mysore, India GPA - 3.5 TECHNICAL SKILLS

• Programming Languages: R, Python, C, CSS, HTML, Ruby on Rails

• Database & Big Data: MySQL, Oracle 11g (SQL and PL/SQL), SQL Server, SAS, HDFS, MapReduce, ETL (Data Warehousing)

• Tools: Git, MS Excel, MS Visio, A/B Testing, Trello

• Data Tools: Tableau, PowerBI, Looker, Numpy, Pandas, Dplyr, Tidyr, Matplotlib, GGMap, GGPlot2, Seaborn, Plotly

• GCP: GCS, BigQuery, DataProc, Dataflow, Data Fusion

• Certifications: Tableau Desktop Specialist, Analytics in R, Python for Data Science & Machine Learning RELEVANT EXPERIENCE

Application Integration Intern Trusona, Inc. Scottsdale, AZ Tools: Ruby on Rails May 2020 - Present

• Solving technical integration challenges using cybersecurity standard protocols such as SAML, OIDC, and OAuth 2.0

• Working on creating and linking a webpage to Trusona’s dashboard to capture lead information using the Salesforce API

• Designed, developed, integrated, and tested Trusona’s IAM application with Okta, PingFederate, Azure, and CyberArk

• Gathered requirements and collaborated with Engineering and Product team to build lucid web pages for customers

• Created dashboards on Tableau to visualize malware attacks, phishing, and DDoS attacks for the Sales and Support teams Graduate Research Assistant University of Arizona Tucson, AZ Jan 2020 - Present

• Implemented an agile approach to translate a 500-page complex Kannada (Indian language) literature into English

• Conducted daily meetings to address and assist the professor in his research and improved productivity by 20% ACADEMIC PROJECTS

Prediction of Kicked Cars at Auction (Team Lead) Tools: R, Shiny, Kaggle Jan – May 2020

• Created a data model that predicted a bad buy (car with mechanical issues) with an accuracy of 91% using ‘Carvana’ data

• Preprocessed, oversampled, applied seven data mining algorithms, and improved accuracy using the Bootstrap technique Consultant, Client: San Diego Gas & Electric (Sempra Energy) Tools: MS Excel Jan – May 2020

• Enhanced existing Multi-Attribute Value Function to include financial, environmental, reputational, and safety risks

• Performed functional analysis of the client’s current business processes and reviewed supporting documentation

• Integrated new data sources and capabilities to drive key business decisions and transformed complex data into metrics Database Architect, Client: University of Arizona Pantry Tools: Oracle SQL, MS Visio Aug – Dec 2019

• Provided prototype Oracle database solution that saved costs and improved operating efficiency by 15%

• Gathered requirements, translated business needs, and created an ER diagram on Microsoft Visio to build the database

• Applied database modeling techniques and implemented SQL queries, triggers and procedures to replace data entry in excel Analysis of Estonian Accident Dataset Tools: Oracle SQL, MS Excel, Tableau Aug 2019

• Spearheaded a cross-functional team of 4 to win the Data Analytics Challenge at the MIS Orientation

• Cleaned, analyzed real-time data, retrieved information using Oracle SQL, and used MS Excel for tabulating cleaned data

• Built dashboards on Tableau based on accidents, year, location, time and made recommendations to avoid accidents Prediction of Diabetes using Machine Learning Tools: HTML, Python, Flask Aug 2018 – May 2019

• Trained and developed a machine learning model using KNN to predict the occurrence of diabetes with an accuracy of 80%

• Created a web page on the local HTTP Server using Flask web framework to facilitate easy user input to obtain a prediction Prediction of the Winner of US Presidential Election Tools: ML in R Programming Jan – Feb 2019

• Predicted the Winner of the US Presidential Election using Logistic Regression Algorithm with an accuracy of ~89%

• Visualized the predictions of the election on the US Map using visualization packages such as ggplot2 and ggmap EXTRACURRICULAR ACTIVITIES

• Tutored an average of 10 hours/week at SALT Center which is an academic support for students with learning challenges

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