Sales Data Modeling & Visualization

@bimzaman000

Hey! I have gone through your project description. I have done an MPhil in Statistics and have extensive experience in data analysis, data visualization, and predictive modeling. I have strong command of Python (Pandas, NumPy, scikit-learn), SQL, Power BI, Tableau, and Excel. I can clean and merge your CSV and Excel files, handle duplicates, missing values, and inconsistent date formats, then perform a detailed product performance analysis to identify top-performing and under-performing products, revenue trends, seasonality, and actionable demand patterns. I will also build a predictive model for sales forecasting or under-performer detection, document every step in simple language, and deliver professional visualizations including pie charts, bar charts, and trend graphs. The final deliverables will include: • Cleaned datasets in CSV and Excel formats • A well-commented Jupyter Notebook or Python script • A saved predictive model with a one-page explanation and performance metrics • A professional PDF or PowerPoint report with clear, easy-to-understand insights • A short written walkthrough explaining the results (or a video walkthrough if required) I can also structure the outputs so they can be easily imported into SQL databases and Power BI dashboards. I have completed similar analytics and visualization projects before and can share relevant samples if you message me. Looking forward to your response. Thank you!

@eldadshericks

Hello there, I am a Data Analyst by practice, and by using Python, I can help you discover facts from your data pool. I have the expertise to perform data analysis and visualizations utilizing various libraries and techniques to extract insights from the data. My analysis will include data cleaning, preprocessing, exploratory data analysis, and statistical analysis. The final output is visually appealing and insightful visualizations that effectively communicate the underlying patterns and trends within your data. Please get in touch so we can proceed with the project.

@shadabkhan92

As an AI-focused freelancer with a strong command over data visualization and Python, I am the perfect fit for your Sales Data Modeling & Visualization project. Having worked on numerous complex analytics projects, I am proficient at cleaning, merging, and analyzing large datasets using Pandas, NumPy, and sklearn libraries in Python. By leveraging my solid experience in exploratory analysis and predictive modeling, I assure you that the final outputs will be not only insightful but also actionable. One thing that distinguishes my work is not just building the models but also effectively integrating them into existing workflows - which aligns perfectly with your requirements of querying data in SQL and building dashboards in Power BI. I aim to deliver outputs that can be seamlessly integrated without any compromise on quality or time efficiency. My proficiency with popular tools like Odoo ERP, IoT hardware, as well as web and mobile stack gives me a unique edge in putting AI where others can't.

@TheRSTeam

Hi, I am a data analyst/statistician and Economist with more than 6 years of experience. I can do your project, Please take time to check my profile and then you decide to contact me.

@mayankinnovative

With over two decades in PHP-based development, I have honed my skills on data cleaning, analysis, and visualization using Python libraries like Pandas and NumPy, making me a perfect candidate for your sales data modeling and visualization project. My renowned ability in fixing and stabilizing businesses aligns well with your aim to transform messy sales exports into meaningful insights. I assure you of a thorough data cleaning process − down to eliminating duplicate entries, missing values, and correcting inconsistent date formats − ensuring nothing distracts us in our focused product performance analysis. Having worked extensively with WooCommerce, I understand the critical role sales analytics plays in enhancing performance and boosting revenue. I am well-versed with utilizing scikit-learn compatible ML libraries like you requested to run exploratory analysis and build a predictive model that forecasts future sales effectively − guaranteeing improved decision-making for your business. I pride myself on my ability to consistently deliver clean, maintainable solutions - which aligns perfectly with your demand for a clear, jargon-free report that's easily understandable by non-technical stakeholders. Additionally, my experience in creating visually appealing dashboards in Power BI ensures that the outputs from our project won't just be meaningful but also seamlessly integrable into SQL queries and Power BI.

@nrajuu07

I'm a data analyst with experience building end-to-end sales analytics pipelines in Python using pandas, NumPy, and Scikit-learn, with outputs structured for direct use in SQL and Power BI. I'll clean and merge your CSVs and Excel files, run product performance analysis surfacing top and lagging items with seasonality patterns, build and save a predictive model for sales forecasting or underperformer flagging, and deliver a well-commented notebook, cleaned datasets ready for your BI tools, and a jargon-free PDF report with revenue and profit pie charts and supporting visuals. Timeline is 3 to 5 days from receiving the files. Relevant analytics samples available immediately.

@KolmanOuassou

Hi, I have been in the role for 6+ years and work as a data analyst, statistician and economist. I Have the ability to provide excellent work and the needs of your project. Would you be able to look at my profile and provide more information on previous projects and Reviews about my work as a contractor? Looking forward to your response. Best regards,

@TeraByte26

Hi, I will deliver cleaned sales datasets, a Jupyter notebook, predictive model, report with visuals, and a walkthrough. I commit to a realistic timeline within the 12500-37500 INR budget. Can I start with a sample data file to begin? Waiting for your response in chat! Best Regards.

@gowthamsarathy

Hello, My approach is to build a reproducible Python data pipeline that ingests your CSV/Excel files, performs automated data validation, removes duplicates, standardizes date formats, handles missing values, and produces analysis-ready datasets. I'll carry out EDA using Pandas and NumPy, engineer relevant features, and develop a scikit-learn–compatible forecasting model with proper train/test validation and performance metrics. The outputs will be structured for seamless SQL querying and Power BI dashboards, with well-documented code, reusable notebooks/scripts, and clear visualizations including revenue/profit pie charts, trend analysis, and supporting bar/line charts where they add value. One relevant project: https://www.freelancer.in/projects/beautifulsoup/Python-Meetup-Events-Scraper One technical question: Approximately how many rows of sales data are you expecting across all files, and do they share a common product/customer identifier for merging? I can deliver the cleaned datasets (CSV/Excel), well-commented Python code, trained predictive model with evaluation metrics, PDF/PowerPoint report, and a concise walkthrough explaining the findings. The quoted price is an initial estimate and can be adjusted after reviewing the data and final scope. Best Regards

@anchalsingh0005

As an experienced professional with an extensive background in Python and Statistical Analysis, I firmly believe that I possess the skills needed to transform your raw sales data into meaningful insights. My seven years of Full Stack Development experience enables me to handle complex data manipulation and cleaning tasks proficiently, which is crucial for this project. By using Pandas, NumPy, and scikit-learn- libraries, I'll conduct powerful exploratory analysis and build predictive models to address your specific needs. Moreover, I am well versed in SQL queries and have a solid understanding of Power BI to design intuitive dashboards. By structuring my outputs accordingly, you'll be able to utilize them effortlessly in these tools. Additionally, my expertise extends to several data visualization tools like SPSS Statistics, Tableau, and Rapid Miner along with strong general-purpose programming skills. In past projects, I've demonstrated my ability to deliver high-quality work within targeted timelines. I'm dedicated and detail-oriented; I code with adequate comments so that they are comprehensible even for someone with limited technical knowledge. Coupled with my experience developing machine learning solutions for analytics, your project is in capable hands. Let's make sense out of your sales data!

@prashanpatel557

Hello, Your project aligns well with my experience in Python web scraping, data extraction, database design, and analytics automation. I’ve developed scraping pipelines using Scrapy, Selenium, Playwright, BeautifulSoup, and Pandas, along with automated data processing and reporting systems. I can build a complete solution that: - Scrapes player statistics, game results, and player profile data from your target website. - Stores the data in a well-structured PostgreSQL database (or MySQL/SQLite based on your requirements). - Creates a configurable ranking engine that automatically recalculates player rankings whenever new data is imported. - Includes logging, retry handling, incremental updates, scheduling support, and comprehensive documentation for maintenance and future enhancements. Before we begin, I’d like to confirm one detail: Could you share the target sports website? I’ll first review its structure, pagination, and any anti-bot protections to recommend the most reliable scraping approach and database design. I’m ready to start immediately and can deliver a robust, well-documented scraping and ranking system that’s scalable, easy to maintain, and simple to refresh with new match data.

@ashinnd84

Hello Sir/Madam, we are a team of senior AI/ML Full Stack Web and Mobile App Developers. We can do this project in no time. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@rajk271

Hi, I'm a Python developer with hands-on experience in data analytics, machine learning, and end-to-end data pipeline development. I've worked on projects involving large, messy datasets where I've built automated workflows for data cleaning, preprocessing, exploratory analysis, predictive modeling, and business reporting using Pandas, NumPy, scikit-learn, SQL, and Power BI. My focus is always on delivering clean, reproducible solutions with clear documentation that both technical and non-technical stakeholders can easily understand. For your project, I'll take care of the complete workflow—from cleaning and merging the raw CSV/Excel files to analyzing product performance, identifying revenue trends, seasonality, and underperforming products, and building a predictive model for future sales or risk detection. I'll provide SQL- and Power BI-ready datasets, a well-commented Jupyter Notebook, the trained model with performance metrics, and a concise PDF/PowerPoint report featuring clear visualizations and actionable insights. I can complete the entire project within 2 days of receiving the data and will keep you updated throughout the process. Happy to help! Raj

@alluankit01

Hi, I can clean, model, analyze, and visualize your raw sales data using Python, Pandas, NumPy, scikit-learn, and clear business-friendly reporting. The best solution is to first merge the CSV/Excel exports, remove duplicates, fix missing values, standardize dates, and prepare clean datasets for SQL/Power BI use. I’ll then analyze product performance, revenue contribution, profit share, lagging items, seasonality, and demand patterns before building a simple predictive model for sales forecasting or under-performer detection. I’m comfortable with Python, Pandas, NumPy, scikit-learn, Jupyter notebooks, data cleaning, sales analytics, predictive modeling, visualization, Power BI-ready outputs, and non-technical reporting. Deliverables will include: * Cleaned CSV and Excel datasets * Well-commented notebook or script * Product performance analysis * Revenue and profit contribution charts * Pie charts by product category * Seasonality and demand insights * Predictive model with metrics * PDF/PowerPoint report * Short written or video walkthrough I’ll focus on accurate data preparation, clear visuals, practical insights, and outputs that can be reused easily in SQL and Power BI. Best regards Ankit

@caajoys

Thank you for considering my proposal for this role. I have carefully gone through your job description and understand the importance of this role. I am a Chartered Accountant with 7+ years of experience and have worked with 4 large companies, delivering data analytics, financial modeling, business intelligence, and reporting solutions using Python, SQL, Excel, and Power BI. I can clean and consolidate your CSV and Excel datasets, perform in-depth product performance analysis, identify revenue drivers, seasonality, and demand trends, and build a predictive sales model using Pandas, NumPy, and scikit-learn. You’ll receive well-documented Python code, clean datasets ready for SQL and Power BI, insightful visualizations including pie, bar, and line charts, and a professional PDF/PowerPoint report with actionable, jargon-free recommendations. I will also provide a concise walkthrough explaining the methodology, findings, and model performance. Payment & delivery assurance: ✅ No upfront payment ✅ Release payment after completion or milestone ✅ Timely delivery ✅ 100% commitment to project completion Profile: https://www.freelancer.com/u/caajoys?sb=t I’m ready to start immediately and can share a realistic timeline after reviewing your data. Best regards.

@dataEntryExperty

Hello, I can transform your raw CSV and Excel sales data into clean, actionable business insights. I'll clean and merge the datasets, perform in-depth product performance analysis, build a predictive sales model using Python (Pandas, NumPy, and scikit-learn), and deliver Power BI- and SQL-ready outputs along with a professional PDF/PowerPoint report. When subject knowledge, interest, and technical expertise come together, great projects are delivered. I have experience with Python, machine learning, SQL, and data visualization, and I focus on producing reports that are both technically sound and easy for non-technical stakeholders to understand. One technical question: Approximately how many rows of sales data are you expecting across all files, and do they share a common product/customer identifier for merging? .

@JoseRCarvas

Hi - messy CSVs plus a few Excel files into clean, meaningful analysis is exactly the kind of work I do in Python/pandas. Happy to take this end-to-end. Step 1, get the data trustworthy: merge the exports, kill duplicates, fix missing values and the inconsistent date formats, and validate totals so the analysis stands on solid ground. Step 2, focused product-performance analysis: which items drive revenue, which lag, and the seasonality/demand patterns worth acting on, with a clear visualization for each finding. Where it genuinely helps I'll add a simple, explainable model (e.g. seasonal demand/trend) - but only where it earns its place; I won't bolt on ML for its own sake. You get clean scripts/notebooks, the charts, and a plain-English readout of what to act on. Quick questions: roughly how many files/rows, and is there a specific decision (reordering, promotions, range cuts) you want the product analysis pointed at? INR 18,000, ~7 days from handover. - Ricardo (5.0 stars)

@shayankhan333

Messy CSVs with inconsistent date formats and duplicates are the norm in sales exports, and the cleanup step is where most analysis projects quietly go wrong if rushed. I'll merge and deduplicate your files in Pandas, build the product performance analysis with revenue and seasonality breakdowns, and train a forecasting model using scikit-learn (likely a gradient boosting regressor, it handles sparse product-level data better than linear models for this kind of work). All outputs will be structured so they drop straight into Power BI: clean column types, consistent keys, and a flat schema you can query in SQL without transformation. One thing worth flagging early: if your date columns mix formats across files, I'll standardize everything to ISO 8601 during cleanup so your Power BI time intelligence functions don't break downstream. Looking forward to it. Shayan

@tyronet2

You need raw sales exports transformed into clean datasets, meaningful product insights, and clear visual reports that help business teams make better decisions. I can handle the full workflow from data cleaning and analysis to predictive modeling and stakeholder-friendly reporting. I have 9+ years of software engineering experience with Python, FastAPI, data processing, and AI-driven analytics workflows. At Marin Software (US), I worked with Python-based systems, real-time data pipelines, AWS services, and AI solutions where data quality and actionable insights were critical. For this project, I can clean and merge CSV/Excel sales data using Pandas and NumPy, perform product performance analysis, identify revenue trends and seasonality, build predictive models, and create visual reports with charts and business-focused explanations. I can also structure outputs for Power BI and SQL workflows. You will receive cleaned files, documented notebooks/scripts, model evaluation results, and a presentation explaining findings in simple terms.