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AI Engineer with 3+ years in Data Analysis & Machine Learning
Results-driven Data Analyst with a strong foundation in data science and data engineering. Experienced in collecting, analysing, and interpreting complex datasets to generate actionable business insights. Proficient in Python, SQL, Excel, and data visualisation tools, with a track record of building dashboards, identifying trends, and supporting data-driven decision-making across healthcare, logistics, and technology sectors. Adept at translating data findings into clear, accessible reports for both technical and non-technical stakeholders.
Emobilis
Cloud Computing · AWS
August 1, 2024 – June 30, 2025
Tech4Dev
Programme · AI and Data
August 1, 2022 – June 30, 2023
Meru University of Science & Technology
BSc. · Data Science
August 1, 2021 – June 30, 2025
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January 1, 2025 – Present
India
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AWS Machine Learning Speciality
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across healthcare, logistics, and technology sectors, coupled with active participation in hackathons, suggests adaptability and a proactive learning mindset. Their current role as an ML Engineer and previous Data Scientist roles align well with the target AI Engineer role, indicating a clear career trajectory in AI/ML. The breadth of certifications also points to a strong commitment to continuous professional development.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working with cross-functional teams and communicating complex data findings to non-technical stakeholders. Their experience in aligning data practices with organizational objectives suggests a good operational fit. The resume highlights a passion for using data to create measurable social and business impact, indicating a proactive and results-oriented work attitude.