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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Instagram-Analytics-Dashboard
May 29, 2026 – Present
An interactive Power BI dashboard that provides deep insights into Instagram performance metrics such as engagement, reach, impressions, content performance, hashtag effectiveness, and audience analytics. This project helps analyze social media growth trends through dynamic visualizations and data-driven reporting.
View ProjectComprehensive-Data-Science-Project
May 18, 2026 – Present
Complete end-to-end Data Science Capstone Project including Customer Churn Prediction, House Price Prediction, Sales Analytics, Machine Learning Deployment, and Business Recommendations using Python and Flask.
View ProjectCustomer-Segmentation-Prediction
May 18, 2026 – Present
This project focuses on identifying different types of customers using unsupervised learning techniques and predicting customer behavior using supervised machine learning models. The project includes: Customer segmentation using clustering Segment-wise prediction modeling Hyperparameter tuning Model evaluation Business recommendations
View ProjectCustomer-Churn-Prediction
May 17, 2026 – Present
This project focuses on preprocessing customer data, engineering useful features, handling outliers, scaling numerical data, encoding categorical variables, and building a machine learning model to predict customer churn.
View ProjectHOUSE-PRICE-PREDICTION
May 16, 2026 – Present
This project predicts house prices using Machine Learning techniques and demonstrates how data-driven approaches can improve real estate price estimation.
View ProjectComplete-Business-Analysis-Project
May 13, 2026 – Present
An end-to-end business analytics project focused on customer churn analysis and sales performance optimization using Python, machine learning, and data visualization techniques.
View ProjectStatistical-Business-Analysis
May 12, 2026 – Present
Statistical analysis plays a critical role in helping organizations make informed decisions, predict future trends, and achieve long-term growth.
View ProjectData-Visualization-Mastery-with-Seaborn
May 9, 2026 – Present
An advanced data visualization project built using Python, Seaborn, Matplotlib, and Plotly to analyze sales performance, customer behavior, and product trends through interactive dashboards and statistical visualizations.
View ProjectCustomer-Sales-Analysis
April 28, 2026 – Present
This project successfully analyzed customer sales performance and churn behavior using Python. The analysis provides useful business insights that can improve revenue, retention, and decision-making.
View ProjectE-commerce-Sales-Analysis
April 27, 2026 – Present
Complete data analysis pipeline (load, clean, analyze, visualize)
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and initiative in data science, aligning with a culture that values continuous learning and practical application. The diversity of projects (churn, sales, segmentation, price prediction) suggests adaptability and a broad understanding of business problems that data science can address. However, the lack of team projects or professional experience makes it difficult to assess collaboration and broader cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a structured approach to problem-solving and an ability to deliver end-to-end solutions. However, without specific soft skill assessments or work experience, it is difficult to fully assess operational fit, stress handling, or team collaboration.