Career Summary
Summary
Work History
Education
Certification
Projects
References
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Collins Ehimen

Collins Ehimen

Vaughan,Ontario

Career Summary

Innovative Machine Learning Engineer with expertise in developing predictive AI models and applying advanced natural language processing techniques. Successfully built AI systems, such as personality prediction models and sports performance predictors, leveraging tools like TensorFlow, Keras, and Word2Vec. Proficient in Python, Pandas, SQL, and Scikit-learn, with a proven track record of curating and processing large datasets to achieve actionable insights. 

Summary

Python, PySpark, PyTorch, Word2Vec, Tensorflow, SQL, PowerBI, PowerQuery, NoSQL, MongoDB, Java, Git, GitHub, Flask, NoSQL, CUDA, SLURM, PostgreSQL, Tableau, LLMs, Apache Spark, Hadoop, Linux.

Work History

Machine Learning Engineer

Redline Ontario - Self-Employed
Vaughan, ON
09.2024 - Current
  • Engineered a TensorFlow Keras and Word2Vec model that accurately predicts user personality traits through conversational analysis, improving personality prediction accuracy by 10% compared to previous models.
  • Utilized customized LLMs along with GPT-4 API integration.
  • Identified key trends and correlations in real-world data using statistical analysis (PowerBI & Tableau) that enhanced classification accuracy by 8% and reduced training time.

Data Scientist Co-op

NettPharmacy
01.2024 - 12.2024
  • Used Apache Spark and NoSQL databases with customer data in conducting market basket analysis and product recommendation.
  • Developed and trained DNN model using CUDA for churn prediction, increasing customer retention rate by 13%.
  • SLURM scheduler is used in hyperparameter tuning.

Web Developer Intern

Premium E-commerce Support Services (PESS)
09.2023 - 12.2023
  • Aided in the integration of advanced WordPress plugins into the company site, enhancing site functionality, and driving user engagement.
  • Transformed UX/UI designs into fully functional web applications, ensuring alignment with client branding, and improving user satisfaction.

Education

BEng(Hons) - Software

Ontario Tech University
Oshawa, ON

Bachelor of Science - Computing: 4.0 GPA

University of Bolton
12-2024

Certification

  • PowerBI: Data Transformation
  • PySpark

Projects

HYRE (PERSONALITY PREDICTION MODEL)

  • An Artificial Intelligence model built on TensorFlow Keras and Word2Vec in Natural Language Processing to be used in detecting user personality through conversation.
  • Conducted data pre-processing including text cleaning, tokenization and other functions from NLTK libraries.
  • Built a website with HTML, CSS, and JavaScript that the model was deployed on using Flask.

NBA PLAYER PERFORMANCE PREDICTION MODEL

  • Artificial Intelligence model that is used to predict the performance of an NBA player using the player's past performance statistics.
  • Model is built on Random Forest Regression algorithms to most efficiently carry out predictions.
  • Weights and Biases used in eliminating over-influences in data and model prediction.

FITNESS MANAGER APP

  • Used Java NetBeans to create a Fitness manager app capable of tracking workout schedules and appointments between customers and trainers.
  • Used SQL to manage all data gathered on the app including customer profiles and workout schedules.

References

  • Josephine Ihanene (CEO of NettPharmacy) - joehimen@nettpharmacy.com
  • Caleb Uwakwe (Product Manager at PESS) - uwakwecaleb0@gmail.com

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Collins Ehimen