Santiago
Rookie Data Scientist
Based in Ibagué. CO
About
Electronic engineer with solid background in data science, artificial intelligence and massive data management. Certified in advanced tools and techniques such as Machine Learning, Big Data and NLP. Experience applying machine learning algorithms, data visualization and predictive analytics in academic and industrial projects. I seek to contribute to the analysis and optimization of processes by transforming data into actionable knowledge.
Skills
Projects
Experience
2024-2024
IT Analyst
• Financial and operational data analysis: I processed and analyzed large volumes of data to identify patterns that improved business profitability by generating priority agreements with other companies. • Report automation: I generated dashboards with data extraction and interpretation systems, which allowed us to identify the most important business data, improving decision making based on customer experience. • Database and server maintenance: I administered enterprise database systems, ensuring their availability and reliability for strategic analysis. • Cross-functional collaboration: I worked with financial, operational and marketing teams to identify data-driven improvement opportunities. • Improved data quality: I implemented data cleaning and structuring processes.
2023 - 2023
IT and Conversational AI Developer
• Generative chat-bot design: I led the development of an AI-based chat-bot that improved customer experience by reducing response times by 10%. • Conversational data analysis: I implemented text analysis techniques such as entity extraction and sentiment analysis, optimizing the effectiveness of automated responses. • Conversational flow optimization: I designed conversational flows that improved chat-bot usability and reduced repetitive queries. • Collaboration with technical and sales teams: I worked closely with technical support and sales teams to tailor the chat-bot to specific customer needs. • Performance metrics: I established KPI’s to evaluate user interaction and propose improvements based on data, increasing customer satisfaction.
Education
2017 - 2022
Electronic Engineering
Thesis with outstanding mention: Deep Learning, Data Science, Automatic Detection, Manual Labeling, Transfer Learning.