Kelvin Igwe

613-***-****

adxwz1@r.postjobfree.com

Toronto, North York

Kelvin Igwe

PROFILE

I am always looking for ways to improve, through self-directed or formal means. It is very satisfying to help, support and work with others. My combinations of technical and analytical skills bring value to the teams I work with from producing value to fostering a user centric focus. WORK EXPERIENCE

Team Lead at

Universal Investing Consulting Toronto, Ontario current position

• Research and development of Client Campaign Processes

• Daily Coaching development

• Client marketing, Sales, and Business Development

• Daily Reporting and Number Analysis

EHR consultant (Epic support) at

Medfirst Consulting McMasters Children’s Hospital 05/2022 – 07/2022

• Provided EHR system support to end-users via person-to-person interaction with Doctors, Nurses, Techs, Receptionists

• Instructed users on log-in procedures, navigation, and data entry procedures

• Generated reports to the designated manager on outcomes of all EHR issues at the end of shifts

• Provided input for ongoing supported user proficiency as needed

• Assisted the hospital technical team with EHR system logistics and facilitated support coverage as needed

• Troubleshooting windows workstations including network and operating systems

• Filing tickets for issues which arise during systems use cases Tutor

Student Association of Health Policy and Informatics York University 07/2021 – 04/2022

• Provided a comfortable, inclusive, and safe space for students

• Developed a professional and friendly relationship with tutees

• Created different learning techniques utilizing diagrams, verbal, audio, and physical strategies to cater to each student’s needs

• Maintained objectivity when presenting options and associated pros & cons to allow the tutee to make informed decisions independently

• Completed and submitted, via electronic tracking system, log sheets and status updates for each student that measured their growth over a 6-month period

TECHNICAL SKILLS

● Programming Languages: Python, SQL,

NoSQL, R, Excel VBA, JavaScript

(Bootstrapping), Leaflet, CSS, and Html

● Databases: Postgres/PgAdmin, MongoDB, MySQL

workbench

● Visualization Tools: RStudio, Anaconda,

Tableau, Weka, Jupyter, google collab,

spss, Hadoop, GitHub, Pandas, NumPy,

Matplotlib

● Other: interpersonal skills, process improvement, health technology assessments and budget impact, Machine

learning

EDUCATION

Name of School: University of Toronto

Certificate: Data Analytics

Years: 06/2022-12/2022

City, State: Toronto, Ontario

Name of School: York University

Degree: Faculty of Health, B.H.S., Spec. Hons. Health Informatics (BA) Years: 2017-2022

City, State: Toronto, Ontario

Name of School: Dartmouth College

Certificate: Data Science in Healthcare

Years: 02/202*-******

City, State: New Hampshire, US

PROJECTS

Applied Computer Education (ACE) Project Space Academic Project https://github.com/kelvinzs/Movies- ETL

The creation of an ETL pipeline from raw data gotten from disparate sources to an SQL database.

- Gathered business requirements from facilitated client meetings, followed up on important action points and decisions from meetings by ensuring changes were implemented by the development team.

- Conducted daily stand-up meetings, sprint reviews and retrospective meetings with clients and development team and addressed blocking issues proactively with project manager.

- Created a project management calendar for fulfilling and tracking the progress of each goal and objective using a Kanban board.

Building Dashboards project https://github.com/kelvinzs/Plotly_dashboards_biodiversity

- Using bacterial data collected from a data source, the task was to build and interactive dashboard panel with demographic information.

- Specifically, the parameters set was to build one that allowed the users to identify the top 10 bacterial species in each case.

- Interactive website can be found here https://kelvinzs.github.io/Plotly_dashboards_biodiversity/ Data analytics & Machine Learning Capstone project https://github.com/AdamDunn22/FinalProject

- The goal of the project was the training and validation of machine learning, deep learning models for the classification and prediction of type 2 diabetes.

- Project presentation and final machine learning model specifications found here https://docs.google.com/presentation/d/1wN2BolPz-lXS3S21z9Qyg-c6uN8C3- DWLucf8VF93jY/edit#slide=id.p

PORTFOLIO

To view portfolio, please click on link or copy and paste in browser. https://kelvinzs.github.io/

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