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Data Science with 1+ years in applied statistics & data modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst | Statistician with expertise in applied statistics, data modeling, and advanced analytics. Skilled in Python, R, SQL, and Power BI for managing large datasets, building predictive models, and generating actionable business insights. Experienced in data cleaning, statistical modeling, and dashboard development, with a track record of improving accuracy, efficiency, and decision-making processes
Cultural Fit Analysis
The candidate's project diversity, ranging from sensor matrix characterization to financial profitability dashboards and revenue forecasting, indicates a broad interest in applying data science across different domains. The blend of academic rigor (MSc in Applied Statistics) and practical application (internships, current role) suggests a proactive and continuous learning mindset. The target role of 'Data Science' aligns well with the candidate's educational background, skills, and project experience, indicating a strong cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates adaptability, time management, and a results-oriented approach through project descriptions (e.g., reducing turnaround time, improving forecast accuracy). The experience as an Account Manager also suggests client interaction and communication skills, which are valuable for operational fit in data science roles requiring stakeholder engagement.