priya pandey

Delhi, Delhi, India

Since April 23, 2026

Skills

Operations StrategyBusiness ScalingProgrammingCold OutreachData Visualization DesignersSmall Business OperationsHR AnalyticsData ModelingBigQueryData InterpretationProblem SolvingPower BIPythonGrowth StrategyMachine LearningGit-GitHubStatisticsSQLAI EngineersMysqlStrategic VisionBusiness AnalystanalysisAdvanced Excel (VBA)TableauAI/ML FrameworksPandas, NumPyData scienceProcess MiningSQL scriptsOracleData science & AnalyticsData AnalyticsDatabase OptimizationData AnalysisStatistical ModelingPrompt Engineering

Key Strengths

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.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data: Psychometric test score is 0, indicating a lack of data to assess cultural fit aspects like work attitude and team collaboration.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

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.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data: Psychometric test score is 0, indicating a lack of data to assess cultural fit aspects like work attitude and team collaboration.

Soft Skills & Operational Fit