Data Science with 1+ years in Data Analysis & AI-powered Workflows
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Assessing your cultural and operational fit
Data analyst with hands-on experience owning dbt models, building semantic layers, and shipping AI-powered analytical workflows. Comfortable working across the full stack from raw data to stakeholder-facing insight, including LLM-powered automation, data quality frameworks, and self-serve reporting. Based in Berlin.
Gisma University of Applied Sciences
M.Sc. Data Science & Artificial Intelligence · Data Science & Artificial Intelligence
September 1, 2024 – November 1, 2025
NMAM Institute of Technology
B.Eng. Information Science · Information Science
August 1, 2020 – June 1, 2024
Bettermile
Data Analyst | Internship
April 1, 2025 – May 1, 2026
Berlin, Berlin, Germany
Wizdom Labs
Machine Learning Intern | Internship
June 1, 2023 – November 1, 2023
Mangalore, Karnataka, India
Olist Marketplace Analytics Platform
June 14, 2026 – Present
Built an end-to-end ELT pipeline loading 100k+ orders into Google BigQuery (GCP), modeled via an 18-model dbt star schema with 124 data tests and CI/CD via GitHub Actions on every pull request. Quantified late delivery's effect on reviews (-1.18 stars, p<0.001), designed an A/B test to validate it, and shipped a self-serve Looker Studio dashboard.
Customer Segmentation Dashboard
June 14, 2026 – Present
Across customer behavior and spend data, ran exploratory analysis to identify distinct value-based segments. Built a segmentation model and interactive Power BI dashboard to support targeted engagement strategies.
Cultural Fit Analysis
The candidate's project diversity, including academic and internship experiences, shows a broad interest in data science applications. Their experience in an 8-analyst team for semantic layer migration and presenting insights to business stakeholders suggests good team collaboration and communication skills. The target role of 'Data Science' aligns well with their academic background and practical experience in machine learning and data analysis, indicating a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and an ability to work across the full data stack. Their experience in designing A/B tests and building self-serve dashboards suggests a proactive and business-oriented approach. The LLM-powered workflow project indicates an innovative mindset and a willingness to explore new technologies. The semantic layer migration project highlights collaboration and standardization efforts.