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Data Analyst with 1+ years in Data Analysis & 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
A dedicated and enthusiastic student currently pursuing graduation with hands-on internship experience at Toyota Highway Motors. Passionate about Data Science, data analysis, and business insights. Seeking opportunities to enhance my skills, gain practical experience, and contribute to organizational success through data-driven decision-making.
Ziauddin University
Bachelor of Data Science
N/A – Present
Createx
Data Analyst Intern
March 1, 2026 – May 1, 2026
India
Toyota Highway Motors
Junior Data Analyst
December 1, 2024 – December 1, 2025
India
Data Analysis and Machine Learning Project – NED
June 1, 2026 – Present
• Collected and analyzed data from a Kaggle dataset to identify patterns and business insights. • Performed Exploratory Data Analysis (EDA), data cleaning, and preprocessing using Pandas. • Created data visualizations using Matplotlib to explore trends and relationships within the dataset. • Implemented and compared multiple machine learning models, including Linear Regression, Decision Tree, Random Forest, and XGBoost. • Applied feature engineering techniques to improve model performance and prediction accuracy. • Developed a basic Python application that accepts user input and generates predictions using the trained machine learning model. • Designed and developed an interactive Power BI dashboard featuring dynamic visualizations, charts, and KPIs to analyze performance metrics and support data-driven decision-making.
Bank Customer Churn Analysis and Prediction
June 1, 2026 – Present
• Analyzed a banking customer dataset to identify churn patterns, customer segments, and key business insights. • Performed data cleaning, preprocessing, and EDA using Python, Pandas, NumPy, and SQL. • Applied statistical analysis and data visualization techniques to explore customer behavior and churn-related factors. • Built and compared multiple machine learning models, including Logistic Regression, Decision Tree, Random Forest, and XGBoost. • Evaluated model performance using Accuracy, Precision, Recall, F1-Score, and Confusion Matrix. • Developed a customer risk scoring system to classify customers into different churn-risk categories. • Designed an interactive Power BI dashboard with KPIs, customer segmentation, and churn analytics for data-driven decision-making.
Kaggle:Data Analyst for python
Kaggle
June 1, 2026 – Present
NED: Data Science Foundation
NED
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in practical data science applications, such as customer churn analysis and general data analysis with machine learning. The listed technologies and project types align well with a Data Analyst role, indicating a clear career path and motivation. The certifications from Kaggle and NED further support a proactive learning attitude. The experience, though limited to internships, shows exposure to different organizational contexts (Toyota Highway Motors, Createx), suggesting adaptability. However, the overall breadth of experience is still developing, and deeper insights into cultural fit would require direct interaction.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams, assisting project managers, and coordinating with stakeholders, indicating a foundational understanding of teamwork and project execution. The descriptions suggest an ability to communicate findings through reports and dashboards, which is crucial for operational fit in a data-driven environment. However, the current experience is primarily internship-level, and the descriptions are somewhat generic, limiting the depth of assessment for advanced soft skills like conflict resolution or strategic influence.