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Data Science with less than a year in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and detail-oriented Data Science graduate with strong analytical and problem-solving skills and a solid foundation in Python, SQL, and data processing. Skilled in data cleaning, manipulation, and visualization using Pandas, NumPy, Power BI, and Excel. Experienced in Python, SQL, Pandas, NumPy, and Power BI for extracting insights from data. Skilled in EDA, predictive modeling, and building data-driven solutions to solve business problems.
Satavahana University
Bachelor's Of Data Science · Data Science
N/A – June 30, 2026
Empowering Business with Effective Insights
June 1, 2026 – Present
Completed a data analytics simulation focused on building meaningful visual insights for business stakeholders. The project involved preparing analytical questions, creating dashboards, and presenting data-driven findings to support executive-level decision-making. Responsibilities: Created insightful data visualizations to help business leaders understand performance trends. Prepared structured, analytical questions for discussions with senior leadership. Analyzed datasets to identify key insights and patterns relevant to business decisions. Presented findings through clear, visually compelling charts and dashboards. Applied data cleaning and visualization techniques to ensure accuracy and clarity.
PowerCo – Customer Churn Prediction & Price Sensitivity Analysis
June 1, 2026 – Present
Analyzed PowerCo's customer data to identify the key drivers of customer churn and understand price sensitivity. Applied machine learning and exploratory data analysis to build a churn prediction model and provide actionable insights that support smarter retention strategies and improved customer decision-making. Responsibilities: Performed exploratory data analysis (EDA) to identify churn patterns and behavior trends. Built and evaluated machine learning models to predict high-risk customers. Analyzed price sensitivity to understand its impact on customer retention. Derived actionable insights from raw data to guide PowerCo's churn reduction strategies. Created visualizations and summaries to communicate findings effectively to stakeholders.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Science Job Simulation
BCG
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications demonstrate a strong interest and foundational alignment with a Data Science role. The projects cover diverse aspects of data analysis, from business insights to churn prediction, indicating a breadth of interest within the field. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to create clear visualizations and present findings to stakeholders, suggesting good communication and presentation skills. The focus on business problem-solving in projects indicates a results-oriented approach. However, without direct work experience, the operational fit in a professional team environment is difficult to fully assess.