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I need a professional Google Sheets dashboard and automated tracker to organize business data and make reporting easier. The spreadsheet should be clean, easy to use, and include formulas, summaries, charts, and automation where needed.

Project Title: Data Analysis and Predictive Insights Project As part of my Data Science training, I worked on a practical data analysis project focused on collecting, cleaning, analyzing, and interpreting data to generate meaningful insights. I used Python and common data science libraries such as Pandas, NumPy, Matplotlib, and Seaborn to prepare and explore the dataset. The project involved identifying and handling missing or inconsistent data, removing duplicates, performing exploratory data analysis (EDA), and examining relationships and trends within the data. I created visualizations such as bar charts, line charts, histograms, and correlation analysis to communicate key findings clearly. I also gained practical experience in preparing data for machine learning, selecting relevant features, training basic predictive models, and evaluating model performance using appropriate metrics. The project strengthened my ability to work with real-world datasets, solve data-related problems, interpret results, and communicate technical findings in a clear and understandable way. Through this project, I developed hands-on skills in Python, data cleaning, exploratory data analysis, data visualization, statistical analysis, and introductory machine learning. It also improved my problem-solving, analytical thinking, and ability to turn raw data into useful information for decision-making.

Analyze two years of sales data, identify trends, and build an interactive BI dashboard. Deliver insights on top products, regional performance, and forecasting recommendations.

Migrate a 50GB legacy MySQL database to PostgreSQL with minimal downtime. Optimize queries and indexes, and document the migration runbook. Validate data integrity post-migration.

Looking for a Power BI developer to create interactive dashboards for our sales and operations teams. Need 5 dashboards with real-time data from SQL Server, drill-downs, and scheduled refreshes. Must follow our branding guidelines.

Need a data analyst to build a customer churn prediction model using our customer data. Includes data cleaning, exploratory analysis, feature engineering, model building, and a dashboard for stakeholders. Python and SQL required.

Develop a price optimization model for our retail business. Need to analyze historical sales data, competitor pricing, and demand patterns to recommend optimal pricing strategies. Must deliver a production-ready model with API endpoint.

We need a data engineer to build a robust ETL pipeline using Apache Airflow. The pipeline should extract data from multiple sources, transform it, and load it into our data warehouse. Experience with dbt and Snowflake is a plus.

Looking for a data engineer to build an automated data pipeline that aggregates marketing data from multiple sources (Google Ads, Facebook Ads, Shopify) into a centralized dashboard with real-time KPIs and reporting.