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Data Analyst with less than a year in Data Analytics & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with 6 months of internship experience delivering end-to-end analytics solutions across data collection, cleaning, exploratory data analysis (EDA), predictive modelling, and business intelligence reporting. Proficient in Python, SQL, Power BI, and Tableau. Built 3 ML models achieving 87-91% accuracy and designed 5+ interactive dashboards supporting data-driven decision-making. Skilled in dashboard reporting and stakeholder management to communicate insights to both technical and non-technical audiences. Finance background adds domain expertise in revenue analysis, pricing strategy, and KPI monitoring. Seeking a full-time Data Analyst role.
Cultural Fit Analysis
The candidate's projects demonstrate a practical, problem-solving approach to data analysis, aligning with a results-oriented culture. The diversity of projects (pricing optimization, ad-click prediction, fake review detection) shows adaptability and a broad interest in applying data science to different business problems. The finance background, combined with technical skills, suggests a good fit for roles requiring business acumen alongside technical proficiency. However, the limited professional experience (6 months internship) means the depth of cultural integration and long-term collaboration skills is yet to be fully proven.
Soft Skills & Operational Fit
The candidate lists stakeholder management, data storytelling, cross-functional collaboration, problem-solving, and attention to detail as soft skills. These are crucial for a Data Analyst role, especially in communicating insights and working with diverse teams. The project descriptions indicate practical application of these skills, such as presenting findings to stakeholders.