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Data Engineer with 4+ years in Cloud, AI, and Data Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Resourceful Data Scientist with 3 years of experience in architecting and deploying machine learning solutions and data pipelines. Proven ability to increase payment likelihood by 18% and response rates by 20% through data-driven optimization. Skilled in Python, SQL, GCP, AWS, Snowflake, and AI technologies including LangChain and Vertex AI. Eager to leverage expertise in ETL automation and data modeling to drive value for Gravity Engineering Services Pvt Ltd. in a Jr. Data Engineer role.
University of Niagara Falls
Master's · Data Analytics, Data
August 1, 2024 – June 30, 2026
National University of Colombia
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August 1, 2015 – June 30, 2021
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Cultural Fit Analysis
The candidate's diverse project experience, ranging from GenAI specialization to marketing analytics and debt collection optimization, demonstrates a broad skill set and adaptability to different business contexts. The current pursuit of a Master's in Data Analytics further indicates a commitment to continuous learning and professional development. The blend of data science and data engineering roles aligns well with organizations that value cross-functional expertise and a holistic view of data solutions.
Soft Skills & Operational Fit
The candidate's resume highlights a proactive approach to problem-solving and a focus on delivering measurable business impact (e.g., increasing payment likelihood, automated resolution rates). Experience across various companies and roles suggests adaptability and a capacity for learning new technologies and domains. The descriptions indicate an ability to work independently on complex projects and integrate diverse technologies.