Kevin Comaduran

Aspiring Machine Learning Engineer, Data Scientist or Data Analysts

Technical Skills :

Education

B.A Computer Information Systems (CIS) | The University of Houston - Victoria (May 2022)
A.A | Lonestar College Systems (December 2020)

Data Analysis Using Pyspark – Coursera Project Network (April 2024 – April 2024)

Processed and cleaned music data using python and google colab. Imported and prepared CSV files by dropping irrelevant columns and handling null values.
Extracted insights from music data. Performed data analysis using queries to extract valuable information from a music dataset.
Transformed and integrated data Merged and prepared CSV files for further advanced analysis.
Analyzed and visualized data. Conducted ongoing data exploration with queries and created data visualizations using Matplotlib.

National Defense Education Program Internship w/D.O.D Alabama A&M University (May – July 2024)

As a member of the Artificial Intelligence (AI ) Group, utilized Google Colab, Natural Language Processing and Python to train a Feed Forward Neural Network(FFNN) model for number identification and various physical objects, leveraging powerful frameworks such as TensorFlow, Matplotlib, and NumPy using the National Institute of Science and Technology database.
Successfully co-presented an influential Artificial Intelligence presentation to high-ranking officials from the U.S. Department of Defense, demonstrating a detail-oriented mindset.
Demonstrated leadership qualities by leading and organizing a group of 10 undergraduate students during this summer program.
Developed and executed concise yet powerful scripts on the Alabama supercomputer.
Actively engaged in daily scrum meetings where I participated with my insights, provided updates to the team's progress and goals, and presented data.

Machine Learning Project ( June 2024 – Present)

Developing an ARIMA time series model to forecast Monthly temperature (Seasonal Differencing, Autoregressive, Mean Absolute Error and Mean Squared Error) for Climate/Weather. Overcame challenges in handling seasonality and autocorrelation through advanced data preprocessing and model tuning.
Leveraged Python (Pandas, Matplotlib, Seaborn, Sklearn, ) and statistical methods for in-depth data exploration, identifying key patterns and anomalies. Accurate forecasts can inform public safety measures, optimize energy consumption, and support local businesses.
Utilized a historical weather dataset from the National Weather Service to build and evaluate the model.
Employed Jira to effectively manage and prioritize tasks, ensuring project deliverables were met on time.

Project: United States Petroleum Import & Export Report (Sept 2023 – Oct 2023)

Using Power BI, researched the Texas crude oil production and the United States' top crude oil imports and exports for fiscal year 2022.
Data collected from multiple government sources to analyze trends.

Project: Telsa Sales Report (October 2023)

Using Power BI, generated an insightful report on Electric Vehicles (EVs) and Plug-in Hybrids.
Categorize EVs and Plug-in Hybrids to visually present both their individual sales volumes and overall sales figures using sales data spanning from 2011 to 2019.

Project: Excel Report ( November 2022)

Crafted drill down reports on weather data using Pivot tables, started KPI, leveraging sorting, grouping, filtering, and slicing techniques to distill complex data. Designed accompanying charts and diagrams to visually communicate trends and patterns in data.

Project : Team Member : Sentio AI Stocks Sentiment Analysis (Jan 2022 – May 2022)

As part of a team developed an iOS app utilizing Apple's ML Core and Twitter Elevated+ Application Programming Interface (API).
Provided guidance to peers on API implementation and functionality.
Gained experience in programming with Apple's Swift language.
Developed proficiency in Git version control system.
Collaborated with team members on assigned tasks and shared responsibilities.

Project : Team Lead Coffee House Database (August 2021 – Dec 2021)

As the team lead for a group of four members, demonstrated effecting leadership skills by guiding the team to successful project completion.
Leveraged expertise in Android Studios, PHP, MySQL, and Java to develop and deploy an end-to-end 3-tier database system, ensuring seamless functionality throughout the entire stack.
Designed a robust ER-Model for our coffee house database, attention to detail and a strong understanding of database design principles.
Prepared a PowerPoint presentation and video to communicate key insights for the client and internal stakeholders.