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HR-Promotion-Prediction-Analytics-Dashboard
April 1, 2026 – Present
This project analyzes employee data to identify key factors influencing promotions and builds a machine learning model to predict high-potential employees. The solution combines: Data Analysis (EDA) Machine Learning (Logistic Regression) Power BI Dashboard for decision-making
View ProjectWorkforce-Intelligence-Dashboard-Uncovering-Attrition-Drivers-Promotion-Gaps
December 10, 2025 – Present
A comprehensive HR analytics dashboard built in Power BI to analyze workforce distribution, employee attrition, compensation patterns, and promotion trends. The goal was to create a business-ready analytical tool using clean data modeling, DAX measures, and actionable visual insights.
View ProjectPower-BI-Sales-Analytics-Dashboard
November 21, 2025 – Present
This dashboard presents a high-level yet detailed view of sales performance across regions, product categories, and sales personnel. The design focuses on clarity, structured storytelling, and business relevance—avoiding unnecessary noise and emphasizing insight over decoration.
View ProjectEcommerce-Dashboard
November 14, 2025 – November 14, 2025
This project is an end-to-end Excel-based analytics dashboard built on top of a real-world style e-commerce dataset. It showcases data cleaning, transformation, KPI derivation, pivot modeling, and dashboard design — perfect for demonstrating Excel + analytics skills.
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on data analysis and visualization, with some exposure to machine learning, which aligns with aspects of a Data Scientist role. However, the breadth of technologies used is limited, and there's a strong emphasis on dashboarding tools (Power BI, Excel) rather than core data science programming languages or advanced ML frameworks. This suggests a potential fit for roles with a strong analytics and reporting component, but less so for research-heavy or deep learning-focused data scientist positions. The inclusion of web development projects (Svelte, HTML, JavaScript, CSS) indicates some diversity in interests but is not directly relevant to the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an understanding of business relevance and structured storytelling in data presentation.