Hi, I'm Charlcye (Charl-see). I am passionate about exploring emerging technologies and leveraging their capabilities to create innovative and impactful solutions that push the boundaries of what's possible.

• SQL: Strong understanding of Structured Query Language (SQL), used for managing and manipulating data in relational databases.

• Python: Proficient in Python programming language, used extensively for building and training machine learning models.

• PyTorch: Experienced with PyTorch, an open-source machine learning framework that is known for its ease of use, flexibility, and support for dynamic computational graphs.

• Scikit-learn: Experienced with Scikit-learn, a popular Python library for machine learning that provides a range of algorithms and tools for data mining, classification, regression, and clustering.

• Keras: Proficient in Keras, an open-source neural network library built on top of TensorFlow that provides a high-level API for building and training deep learning models.

• TensorFlow: Proficient in TensorFlow, a popular open-source framework developed by Google that is widely used for building and training machine learning models, particularly in deep learning.

• Financial analysis: Demonstrated expertise in financial modeling, analysis, and valuation, particularly in the context of private equity and mergers and acquisitions.

• Business strategy: Strong understanding of business strategy development and execution, including cross-functional planning, market analysis, and competitive positioning.

• Leadership: Proven ability to lead and manage high-performing engineering teams, including site strategy, cost management, hiring, coaching, and mentoring team members to achieve strategic goals.

• Project management: Skilled in project management methodologies, tools, and techniques, with a track record of delivering complex projects on time and within budget.

• Communication: Excellent written and verbal communication skills, including the ability to articulate complex technical concepts to non-technical stakeholders and present business plans to executive teams.

• Relationship building: Proven ability to build strong relationships with clients, partners, and stakeholders, with a focus on understanding their needs and delivering value.

• Problem solving: Demonstrated ability to identify and solve complex business problems, leveraging data analysis, critical thinking, and creativity.

• Post Graduate Program in Artificial Intelligence and Machine Learning, McCombs School of Business - The University of Texas at Austin, 2023
• Associate of Applied Science in Computer Science, Texas State Technical College, 2005

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