priya pandey

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Strong foundational skills in Data Science & Machine Learning, including Python (Pandas, NumPy, Scikit-learn), SQL, and Power BI, which are highly relevant for a Data Analyst role.
• Demonstrated experience in building end-to-end predictive models, feature engineering pipelines, and Business Intelligence solutions.
• Practical project experience in critical business areas such as customer churn prediction, e-commerce customer value prediction, and income prediction, showcasing real-world application of skills.
• Ability to automate data pipelines using Python, reducing data retrieval time and manual processing, which is valuable for operational efficiency.
• Experience in deploying ML models (Streamlit) and Power BI dashboards, indicating exposure to the full ML lifecycle and data visualization.
• Relevant internship experience as a Research & Data Analyst, Data & Operations Analyst, and Data Extraction & Pipeline Intern, providing practical exposure to data analysis workflows.