My Projects
HR EXECUTIVE DASHBOARD
A comprehensive HR analytics dashboard built in Power BI, designed to streamline employee data analysis and enhance strategic HR decision-making. It offers a centralized view for both executive decision-making and individual-level analysis.
Features:
- The report is organized into two primary views, tailored to meet both executive-level needs and detailed employee analysis:
- ✅ HR Executive Overview Dashboard- A high-level view for HR leadership to monitor workforce health, hiring trends, and organizational structure.
- ✅ Employee 360 View- A detailed, interactive profile for each employee, combining performance, engagement, and skill development insights
Tools/Language: Power BI, DAX, SQL, Excel, HR Data, Data Modeling, ETL
View Project →COFFEE SALES DASHBOARD
Designed an interactive Coffee Sales Dashboard in Power BI to analyze US sales performance (2023-2024) across multiple dimensions, including time trends, customer demographics, and product performance.
Features:
- Created interactive personal based visualizations for Executive team to give highlevel overview and deep dive into Customer and produsct purchasing behavior
- ✅ Executive Dashboard- High-level KPIs, time-based sales trends, coffee type insights, and top-performing states
- ✅ Product View- Sales by product category, daily patterns, city-level analysis, seasonal trends, and hourly performance
- ✅ Customer View- Insights by gender, age, profession, payment method, and average order value
Tools/Language: Power BI, DAX, SQL, Excel, Sales Data, Data Modeling, ETL
View Project →SUPER STORES SALES ANALYSIS DASHBOARD
Designed an interactive super store sales analysis dashboard that delivers actionable insights into sales performance, customer behavior, product trends, and regional sales patterns. The dashboard empowers businesses to make data-driven decisions and identify opportunities for growth.
Features:
- Created interactive personal based visualizations for Executive team to give highlevel overview and deep dive into Customer and produsct purchasing behavior
- ✅ Executive Dashboard- Offers a snapshot of overall business performance through key KPIs and high-level sales trends.
- ✅ Customer View- Explores customer purchasing behavior, segmentation, and high-value customer identification.
- ✅ Region View- Analyzes sales by region, highlighting top-performing areas and potential growth opportunities.
- ✅ Product View- Sales by product category, daily patterns, city-level analysis, seasonal trends, and hourly performance
Tools/Language: Power BI, DAX, SQL, Excel, Sales Data, Data Modeling, ETL
View Project →CAR SALES DASHBOARD
Designed an interactive Car Sales Dashboard in Power BI. This dashboard transforms complex datasets into clear, interactive insights, empowering businesses to refine their sales strategy, identify trends, and drive growth.
Features:
- This Power BI dashboard is designed with multiple user personas in mind—from executives seeking high-level KPIs to analysts needing deep-dive insights.
- ✅ Executive Dashboard- A strategic overview of key sales metrics, trends, and performance indicators
- ✅ Sales Breakdown View- Detailed analytics by car model, manufacturer, color, and dealer.
- ✅ Trend Analysis View- Time-based trends and seasonal patterns to support forecasting.
- ✅ Geographical View- Sales performance across states and regions with interactive filters.
Tools/Language: Power BI, DAX, SQL, Excel, Sales Data, Data Modeling, ETL
View Project →US HOUSEHOLD ENERGY PREDICTION
Developed and deployed an Ml Model to predict household energy consupmtion.This model provides valuable insights into energy consumption patterns, helping households and utilities optimize energy usage and reduce costs.
Features:
- Developed a predictive model for U.S. household energy consumption trends, leveraging time series and regression techniques to enhance forecasting accuracy.
- Built and deployed an interactive application with user-friendly visualization tools for energy usage insights.
- Optimized model performance for real-world deployment, achieving robust results across multiple datasets.
Tools/Language: Python, Pandas, Regression Models, XGBoost, converters, Agents, LSTMs, streamlit, data processing
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GENE SEQUENCE CLASSIFICATION
Developed a machine learning-based system for Splice Junction gene sequence classification. This model helps in accelerate research in gene expression, mutation analysis, and drug development.
Features:
- Contributed to the advancement of Splice Junction gene sequence classification through machine learning techniques.
- Preprocessed gene sequence data to prepare it for machine learning algorithms.
- Utilized Python, NumPy, Pandas, and Scikit-Learn for data preprocessing and model development.
- Applied various machine learning algorithms to classify gene sequences.
- Evaluated model performance using metrics such as accuracy, precision, recall, F1-score, and AUC-ROC.
Tools/Language: Python, NumPy, Pandas, Scikit-Learn, Biopython, Regex, TensorFlow, Matplotlib, Seaborn, Jupyter Notebooks,
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