Ini Adewumi

Dallas,Texas LinkedIn 918-***-**** iniadewumijbs@ gmail.com

I am a data scientist with a Master of Science in Data Science and a strong foundation in programming, data tools, and systems. My experience includes designing web platforms, ETL solutions, and data analysis in regulated healthcare environments. I have a record of accomplishment in pioneering accessibility features, conducting A/B testing, and developing REST APIs and ETL workflows. My portfolio of projects showcases my data science skills. As a leader, I have demonstrated a commitment to professional growth and community involvement. I am ready to provide innovative solutions and insights to drive data-centric projects. WORK EXPERIENCE

McKinsey & Company Remote

Solutions Delivery Analyst Jun 2022 - Present

● Designed and deployed a web platform for data request and onboarding using Flask, React, and Databricks.

● Created an ETL tool for Healthcare Price Transparency data into Snowflake.

● Wrote a script to process 400TB+ of data in S3 to extract metadata and create new tags.

● Redesigned data lifecycle policies and infrastructure in an HIPAA regulated environment.

● Demonstrated proficiency in data manipulation and analysis using tools such as Excel, Python, R, or SQL.

● Played a pivotal role in improving internal processes and workflow efficiency within the Solutions Delivery team.

● Received commendations for exceptional problem-solving skills and a keen ability to identify business opportunities within complex datasets.

● Actively engaged in professional development opportunities and training, staying aligned with McKinsey's commitment to excellence and innovation. Becker’s Healthcare Remote

Data/Software Developer Aug 2020 - Jun 2022

● Pioneered and deployed new accessibility features such as Text-to-Speech using JavaScript, HTML & CSS.

● Performed A/B testing (Blue-Green/Canary deployment) on the new accessibility features using Load Balancers.

● Designed and programmedREST APIs in JavaScript (Express), andPython (Django REST Framework).

● Built and deployedETL workflows to the cloud which included automated reports, and KPI monitoring.

● Used python to extract, analyze, and interpret live user data to provide actionable insights to management.

● Developed and maintained data-driven applications to support healthcare data analysis, utilizing languages such as Python or Java to create efficient and scalable solutions.

● Collaborated with cross-functional teams to gather and refine software requirements, ensuring alignment with Becker's Healthcare data analysis and reporting needs.

● Designed and implemented data pipelines and ETL processes to collect, transform, and load healthcare data from various sources, resulting in improved data accuracy and accessibility. Equinor Houston, TX

Division Order Analyst - Land Administration ( Contract) May 2019 - Aug 2019

● Managed and maintained division order records, ensuring the accurate allocation and distribution of revenue to interest owners, while complying with industry and regulatory standards.

● Conducted comprehensive reviews of land titles, leases, and contracts, identifying discrepancies and resolving issues to ensure the correct calculation of royalty and working interest payments.

● Collaborated with legal and land teams to interpret and implement complex contractual agreements, verifying that payment calculations aligned with the terms and conditions of contracts.

● Utilized specialized land administration software and databases to manage division orders, lease records, and other land-related data, maintaining an organized and accurate land database.

● Communicated with interest owners, addressing inquiries and providing explanations related to revenue distribution, demonstrating strong customer service skills.

● Conducted audits and reconciliations of revenue payments to identify and rectify discrepancies, ensuring that revenue distributions were accurate and on time. RELEVANT PROJECTS

Doctrina Project (Platform Design)

https:/ / github.com/ iniadewumi/ DOCTRINA-904

● Created Data Lake in S3 alongside an automated system to update data lake regularly(used Python, S3, JSON).

● Designed Data Warehouse and process for updating Data Warehouse regularly (used SQL, Python and Redshift).

● Designed Django web platform and connected redshift database (Python, HTML, CSS). Exploratory Analysis on Complex & Simple Leaves

https:/ / github.com/ iniadewumi/ MVA-Dataset-Exploration

● Created data pipeline to collect and preprocess data for multivariate analysis (Python and R).

● Performed dimensionality reduction on leaf dataset with 16 columns (PCA usingR). Createdandanalyzedmultiple clustering models against the dataset (K-means, Hierarchical Clustering using R).

Airline Satisfaction

ML https://github.com/iniadewumi/Airline-Satisfaction-ML

● This is an airline satisfaction model for passengers, including multiple model choices for prediction

● Used Ensemble models such as bagging and stacking and target-encoding (sci-kit learn). Malaria in Africa & India

ML https://github.com/iniadewumi/Machine-Learning-Malaria

● Malaria detection algorithm using image data, project includes UI for importing images for prediction.

● Used and compared model accuracy for KNN, Neural Networks, SVM & RandomForests, (sklearn

& tensorflow).

EDUCATION

Texas Tech University, Rawls College of Business Lubbock, TX

● Master of Science, Data Science May 2022

● BBA in Energy Commerce & Analytics May 2020

SKILLS

Programming Languages: Python, R, JavaScript Data/StatisticalTools: R, Excel, Tableau, Power BI

Data Systems: Snowflake, SQL, Hadoop, Amazon RDS, Amazon S3 Machine Learning: Regression, Classification, Dimensionality Reduction, Clustering, Time-Series, and NLP Automation: RPA, Web & Test Automation

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