Completion Rate & Performance Analysis

@ShaikhAneesa

Hello, I have reviewed the project requirements for the Completion Rate & Performance Analysis project and understand the need to analyze task completion rates and employee performance to identify key insights. Let's chat and discuss it further. To handle your project, I will start with cleaning and structuring the provided datasets, then utilize SQL or Python (pandas) for data analysis. I will create visual dashboards using Tableau or Power BI to allow for easy filtering by project, assignee, and date range. The deliverables for this project will include cleaned datasets, an analytical report on schedule variance and employee performance, visual dashboards for data visualization, and a concise slide deck summarizing key findings and recommendations. Before signing-off my bid, I would like to ask a question, i.e., how frequently would you require updates to the visual dashboards? Best Regards, Aneesa.

@Microlent

You’re not just looking for charts you need a clear view of where execution is slipping and why. I’ve worked on systems where tracking planned vs actual performance is critical especially in logistics and ERP environments so analyzing schedule variance and tying it back to individual performance is something I’ve handled in real production workflows. For your dataset, I’d approach this in a structured way: - Clean and normalize task + employee data to ensure consistency across projects and timelines - Compute precise variance metrics (delay %, average slippage, per-employee and per-project impact) - Identify patterns like recurring overruns, high-risk task types, and performance correlations - Build an interactive dashboard (Power BI or Tableau) that lets you filter by project, assignee, and time range without rework - Package insights into a concise report + slide deck focused on decisions, not just data I’ve also built systems like logistics tracking platforms and financial dashboards where real-time performance and accountability are key, so I understand how to translate raw data into something managers can actually act on. If helpful, I can start by reviewing a sample of your CSVs and outline the exact variance model + dashboard structure before we proceed. Let’s connect and align on how you want performance measured—once that’s clear, everything else becomes straightforward. Best, Jenifer

@OutsourceMan

⭐⭐⭐⭐⭐ At CnELIndia, we have experts in Python who are proficient in using tools like pandas for data analysis. Combined with our strong Excel skills, we can efficiently clean and structure your task and performance data. Having worked on similar projects, we understand the importance of comprehensive and organized datasets that can be easily refreshed for future use. Our ability to use modern data visualization tools like Tableau or Power BI will be beneficial in creating dynamic dashboards for effective filtering and analysis by project, assignee, and date range. This, paired with our in-depth understanding of SQL and strong Python skills, will enable us to generate accurate variance metrics at both individual task and aggregated employee levels. We don't compromise on providing clear documentation of our methodology. As a result, your team will not only receive precise deliverables but also the knowledge to replicate or extend this work if needed in the future. With CnELIndia on your side, you can expect a concise analytical report that not only identifies schedule variances and overruns but also provides actionable insights correlating them with employee performances.

@mobimubasir

Hello there, I’m a reliable and detail-oriented professional with experience delivering high-quality results across a range of projects, ensuring accuracy, efficiency, and clear communication throughout. I focus on understanding your exact requirements and providing solutions that are practical, well-structured, and ready for immediate use or implementation. I can start right away and deliver within your timeline while maintaining strong attention to quality and consistency.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Data Processing, Excel, SQL, Report Writing, Business Analysis, Data Visualization, Data Analysis and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@noursherif030

As a software engineer with extensive experience in data processing, I am well-versed in the tools and technologies needed to successfully complete your task analysis project. My fluency in SQL and Python, including pandas, will allow me to effectively handle and clean datasets for your CSV exports, transforming them into structures that can be easily reused for future reference. In addition to organizing the given task data, my strong Excel skills can be leveraged to create accurate variance metrics at both project and employee levels, something essential for your objective to quantify schedule variance and identify bottlenecks. Using modern data visualization tools such as Tableau or Power BI, I will create interactive dashboards allowing managers to filter results based on projects, assignees, or date range. Having worked on various projects from cybersecurity to medical coding, I have gained a keen eye for identifying patterns and trends within data sets. This expertise will prove invaluable as I correlate completion rates with employee performance scores in order to identify top contributors and areas needing improvement. Finally, as a technical writer, I also assure you of clear documentation of my methodology so your team can easily duplicate or build upon this work if needed. Let's collaborate on bringing insightful analysis and actionable insights to your project!

@emilesd617

Hi, I am a full-stack developer with over 8 years of experience in data analysis, Python, and data visualization tools like Power BI and Tableau. For this project, I will clean and structure your task and performance data, then analyze the variance between planned and actual completion dates. I will create visual dashboards to highlight key insights, like employee performance and task completion trends, and provide actionable recommendations. The final deliverables will include a detailed report, dashboards, and a slide deck summarizing key findings. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@FaizalShaik80

Hello, hope you are well. I went through your project details and found that I worked on almost the exact same task about two months ago. I am an experienced and specialized freelancer with 6+ years of practical experience in Python, Excel and I’m able to complete and deliver this project promptly. Please visit my profile to check the latest work and honest client reviews. Connect in chat to discuss details and next steps. Talk soon.

@alizain721

Goal: turn your task CSVs and employee ratings into a refreshable, auditable analysis that quantifies schedule variance (planned vs actual), highlights largest overruns, and shows which employees drive delays or on-time delivery. Scope clarified: ingest and canonicalize your CSVs, compute per-task variance (business days), aggregate at project and employee level, correlate with monthly performance scores, deliver cleaned datasets, a refreshable dashboard (Power BI/Tableau), a short slide deck, and a methodology doc. Out of scope: real-time integration with your PM tool or predictive modeling unless requested. Key delivery risk: inconsistent date semantics and multi-assignee tasks create biased employee correlations. Will detect and normalize planned vs planned-completion dates, censor open/cancelled tasks, and use planned duration as a control when attributing responsibility. Relevant proof: no portfolio links were included here; happy to run a 1-hour sample on 50–100 rows of your CSV so you can validate format and outputs before committing. Approach (brief): ingest with pandas, clean and store canonical tables (Parquet/CSV + optional SQLite), compute variance metrics and duration-weighted employee aggregates with SQL/pandas, build a parameterized Power BI or Tableau file and export slides + methodology document. Quick question: does each task row contain a single planned-completion date (one field) or do you use milestone-level planned dates / multiple planned fields per task?

@mayankinnovative

Hi, As per my understanding: You want to analyze task completion rates by comparing planned vs actual dates and correlate this schedule variance with employee performance logs. The objective is to identify bottlenecks and recognize top performers. You need cleaned datasets, an analytical report, a refreshable dashboard, and a summary slide deck. Implementation approach: 1. Data Preparation: I will clean and merge your project CSVs and performance files using Python (Pandas) to build a structured, reusable dataset. 2. Variance Analysis: I will calculate the schedule variance for each task and aggregate the metrics at the project and employee levels to map against monthly ratings. 3. Dashboard Development: I will design an interactive dashboard in Power BI or Tableau featuring filters for assignee, project, and date ranges. It will be built to easily ingest new data. 4. Reporting: I will summarize the key findings in a short slide deck and provide clear methodology documentation so your team can replicate the workflow. A few quick questions: 1. Do you prefer Power BI or Tableau for the visual dashboard? 2. How many months of historical data are included in these CSV exports? 3. What is your ideal timeline for receiving the initial analysis?

@danielboggs

Hello Team, I’ve reviewed your brief and I’m confident I can turn your task exports and performance logs into the actionable insights you need. I regularly build data pipelines and analytics layers using Python (pandas), SQL and clean ETL patterns, and I’ve integrated results into refreshable dashboards (Tableau/Power BI) and concise slide summaries for leadership. My approach will be practical and reproducible: I’ll clean and normalize the CSVs into a documented schema, compute task-level variance and aggregates by project and employee, correlate overruns with monthly performance scores, and build parameterised dashboards and a short slide deck that highlights top contributors and recurring bottlenecks. I’ll deliver code notebooks, SQL snippets, and a methodology document so your team can refresh or extend the analysis. Which tool do you prefer for the interactive dashboards (Tableau or Power BI), and do you have an existing server or workspace for publishing reports? Best regards, Daniel

@KolmanOuassou

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.

@durgesh8527

With my profound skills and 12+ years of experience as a Full Stack Developer, I believe I am the perfect person for this project. As you've mentioned, your project entails handling, analyzing, and presenting complex data effectively - this is where I thrive. With mastered familiarity in Python (including pandas) and SQL, I am well-prepared to cleanse and structure your CSV exports into clean datasets ready for reuse. My proficiency with Excel will further enhance the quality of data analysis for clear insights. Alongside technical know-how, I'm also thoughtful about providing lasting solutions. By incorporating modern data visualization tools such as Tableau or Power BI into your project, I assure that you will be able to easily filter through project data by assignee and date range. Additionally, you can expect me to accurately quantify schedule variances and identify the biggest overruns while mapping them to corresponding employee performances, thereby identifying areas of excellence and recurring bottlenecks. Transparency in my deliverables is another crucial aspect of my work ethic. Not only will I provide thorough documentation of my methodology for easy re-accessibility by your team but also ensure that the visual dashboards are adaptable to updated data inputs ensuring long-term usability. Let's get started on transforming your task data into actionable insights!

@johnedwardl

Hi, I will transform your task data and performance logs into actionable insights by delivering a structured analysis of task completion rates alongside employee performance. My experience with SQL, Python (pandas), and data visualization tools like Tableau and Power BI ensures that I can efficiently clean and analyze your datasets, presenting accurate variance metrics and performance correlations. I will provide well-organized datasets ready for reuse, an analytical report highlighting schedule variances, and clear visual dashboards that will allow for easy filtering by project and assignee. Additionally, a concise slide deck summarizing key findings and actionable recommendations will be included. To ensure the deliverables meet your standards, I’ll document my methodology for your team's future reference. Are there any specific metrics or visual styles you prefer for the dashboards? Looking forward to collaborating on this project. Thank you.

@Srashtasoft

Hi there, I have read your project requirement. You need a complete data analysis solution that cleans your datasets, calculates planned vs actual schedule variance, links it with employee performance, and presents insights through dashboards and reports. We can process your CSV data using Python (Pandas) to clean and structure it, calculate variance at task, project, and employee levels, and identify overruns, top performers, and bottlenecks. We will create interactive dashboards (Power BI/Tableau) with filters for project, assignee, and date, along with a concise analytical report and a clear slide deck. Everything will be documented so your team can reuse and refresh the data easily. Questions: ========= Do you prefer Power BI or Tableau for dashboards? Approximate size of your datasets? Are performance ratings numeric or categorical? Do you need automated refresh for future data? Best Regards, Srashtasoft Team

@digilogies

Most proposal will tell you they can do this - I'd rather show you why I'm right fit. As the top 5% in Full Stack Development and CMS Development and 6+ years of experience with over 850 projects on record, I can confidently state that I am well-suited for this job. My frontend development skills (React.js, Vue.js) as well as my backend development skills in Python (Django), Node.js and SQL, along with strong experience in Excel, encompas an impressive mix that mirrors your project requirements. Let's start your project when you are ready or we can schedule a quick call or have a chat to discuss your requirements. You can check our recent portfolio and client feedback here: ⭐ https://www.freelancer.com/u/digilogies ⭐

@daxm0

Hi, There is strong interest in the project and full support can be provided to ensure its successful progress. I fully understand your goals and the direction of this project. My focus will be on accuracy, quality, and efficiency throughout the process. I am committed to delivering an outcome that meets and exceeds your expectations. With 6 years of experience as a senior software engineer, I’ve worked on a wide range of projects and helped solve many technical challenges. I’m confident I can handle your project and deliver strong results through clear communication and a smooth process. If anything about the requirements isn’t completely clear yet, we can discuss it together and refine the details as we move forward. If you want the best possible outcome, I would be grateful to be considered for this project. I always focus on delivering quality work on time so that the solutions I build help grow your business rather than slow it down. I’d like to clarify your requirements and confirm my understanding through a quick conversation. Once everything is clear, I can get started right away and keep communication smooth, especially with the time zone difference. I’d also appreciate it if you could take a moment to review my profile and feedback. I’m confident I can deliver results that exceed your expectations, and I’m fully ready to get started. best regards, Dax M

@cindyviorinar

Hi, I’ve read your brief and I’m confident I can turn your task exports and performance logs into clear, actionable insight. I have practical experience building reproducible analysis pipelines with Python (pandas) and SQL, cleaning messy CSVs, computing schedule variance, and producing refreshable dashboards in Power BI or Tableau. I will first profile and clean your CSVs, create normalized tables for tasks and employees, then compute task-level variance (planned vs actual), aggregate at project and employee levels, and join performance ratings to identify correlations and recurring bottlenecks. Visuals will include interactive filters by project, assignee, and date range, and I’ll deliver a concise slide deck with prioritized recommendations plus reproducible documentation and scripts so your team can refresh the analysis with new exports. Next step: provide the CSVs and a sample of your current export schema so I can validate assumptions and outline the data-cleaning plan. Can you share a small sample (10–20 rows) of each CSV and confirm which fields contain planned and actual dates so I can draft the cleaning rules? Best regards, Cindy Viorina

@jayantm76

─── ⚡⭐⋆☆⋆⭐⚡ ─── Hi, Client. I’m a strong fit because I turn messy task and performance exports into clear management insight that is easy to act on. My stack covers Python, pandas, SQL, Excel, Tableau, and Power BI, so I can handle data cleaning, variance analysis, dashboards, and executive level reporting in one flow. I’ve handled similar analysis work where planned versus actual timelines, employee impact, and recurring delivery bottlenecks had to be quantified clearly for decision makers. Your real goal is a reusable reporting setup that shows schedule variance accurately at task, project, and employee level while making the biggest overruns and top contributors obvious. So, I'll: Clean the datasets, calculate the variance metrics, build filterable dashboards, connect the results to employee performance, and deliver the report, slide deck, and methodology notes. Best, Jayant