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Data Science with less than a year in Data Analytics & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Electrical Engineering graduate with hands-on experience in end-to-end data analytics – from ETL and data wrangling to dashboard development and stakeholder-ready reporting. Proficient in Python (Pandas, Scikit-Learn), SQL, Tableau, and Power BI. Adept at translating data insights into structured business recommendations, with experience building analytical frameworks that support consulting, client engagement, and strategic decision-making. Passionate about transforming raw data into actionable KPIs and BI insights that drive informed decision-making.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of application areas (energy forecasting, predictive maintenance, financial analysis), indicating adaptability. The focus on end-to-end data analytics and stakeholder engagement aligns with a collaborative, impact-driven culture. However, the limited professional experience (summer intern) and lack of diverse team-based project descriptions make a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate demonstrates strong data storytelling, stakeholder communication, problem-solving, and critical thinking skills, which are crucial for a Data Science role. The resume highlights experience in translating data insights into business recommendations and supporting strategic decision-making, indicating a good operational fit for roles requiring actionable insights.