David
Open to work
Open to relocate

Hey, I'm David

Data analyst, software developer and Mechatronic Engineer dedicated to optimizing data-driven processes and enhancing organizational efficiency, utilizing a combination of technical expertise and business acumen to drive measurable results.
Located in Hamilton, Ontario 🇨🇦.

Expererience

  1. Data Analyst Volunteer

    NotWorking to Networking

    The project utilized Eventbrite API for 184 events, ensuring accurate data. Python and AWS streamlined data processes, reducing manual work by 90%. Interactive dashboards visualized attendance data. Effective visualization aided decision-making, resulting in a 20% increase in meeting attendance. More information
  2. MyOpenMath Backend Assistant

    Mohawk College - Building and Construction Department

    The role involved offering coding assistance to the Math department, utilizing PHP and MyOpenMath software while adhering to basic coding principles such as algorithm design and commenting. Following software development principles and methodologies was integral to the process. Additionally, the development and deployment of randomized algorithms were undertaken to augment the question pool, resulting in an impressive 85% increase.
  3. Statistics / Programming / Mathematics Tutor

    Self-employed

    The role involved tutoring students in programming, statistics, and mathematics, employing innovative teaching methods such as interactive coding exercises and practical statistical analysis projects to foster engagement and deepen comprehension of intricate concepts. Collaborating closely with students, weaknesses were identified and lessons customized to target individual learning needs, culminating in a remarkable 90% student satisfaction rate.
  4. Junior Data Scientist - Internship

    National university of Colombia - Department of Industrial Automation

    I contributed to creating and analyzing software tailored for image-based fracture analysis within the metallographic sector, achieving a commendable 90% accuracy and catalyzing automation advancements. This involved developing deep learning algorithms leveraging convolutional neural networks and various computer vision techniques like Haralick's texture analysis, FTA, Gabor filters, and Local Binary Pattern for fracture texture identification in metal materials. Furthermore, a rigorous testing protocol was devised and executed, yielding a notable 20% enhancement in accuracy compared to prior versions.

Projects

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NotWorking to Networking ETL and data analisys

  • Python
  • AWS
  • Power BI
This project is about the impact and evolution of the industry-specific meet-ups for Latinos hosted by notworking2networking. Extraction of valuable insights, patterns identification, organazing the data, creation of visualizations and interpretation of results.
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Benvenito case

  • SQL
  • Python
  • Power BI
An e-commerce company called Benvindo, located in Brazil has shared their data with you. General Management is interested in learning more about your business operations. They want to know more about your products and your customers so they can make decisions about your product lines.
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Workout progress and basic nutrition

  • Excel
Excel spreadsheet to track the personal progress in the gym basic exercises.

About me

Mechatronic engineer with experience in machine learning, specialized in statistical analysis and image processing with machine learning and deep learning algorithms. A Proficient in data analysis and problem-solving graduated of Mohawk College’s Analytics for Business Decision Making program and International Business Management postgraduate certificates.

I possess strong problem-solving and analytical skills, with a keen attention to detail and adaptability to learn new technologies. My excellent verbal and written communication, organizational, and interpersonal skills complement over a year of experience in analyzing large datasets and relational databases. I am proficient in key analytical, modeling, statistical, and programming tools, and adept at utilizing business intelligence and data analytics software for data identification, consolidation, reporting, and trend analysis.

Proficient in utilizing a diverse array of technologies including Python for programming tasks and data analysis, SQL, MySQL, and PostgreSQL for database management, Power BI, Tableau, Matplotlib, and dash for data visualization. Experienced in collaborating efficiently using Git and Jira, with foundational proficiency in AWS services such as EC2, Lambda, CloudWatch, S3, redshift, glue, and ECR for cloud-based solutions.

David