Data Science & Analysis Projects

Proxy, VPN advice needed from an expert

Dear all, we need advice from an expert, who understands cyber security, proxy, VPN to a very advanced level, who can advise us first and possibly build a correct system for us, which will fulfill our company requirements

I need you to crack for me a rar file

I need you to crack for me a RAR file that I forgot the password for The password is 14 characters and it has a combination of letters, digits and special characters and I will require the task to be complete within 1 day

Data research Analyst

Data Research Analyst I'm in search of experienced freelancers to assist with data research tasks. Your main focus will be to aggregate targeted public and private trade data resources. Key Requirements: Strong expertise in data analysis. Proven experience working with large datasets and delivering actionable insights. Knowledge of global trade regulations and customs data will be an advantage. Exceptional attention to detail and ability to meet tight deadlines. Your responsibilities will include: Conducting research to identify data such as Import Duties and VAT dara for countries worldwide. Data may provided in various formats, including PDF, CSV, and Excel. This is a freelance opportunity with flexible hours and the potential for long-term collaboration. If you're interested, please send your CV along with a brief description of your experience to Edith.

NS3 Simulation Project Setup

Project goal To simulate the content of a provided PDF using NS3, with guidance on installation and project importing. Scope of work - Simulate the processes or models as described in the provided PDF using NS3. - Provide instructions for NS3 installation. - Supply file(s) necessary for importing the project to the buyer's computer.

Power App for Training competencies

A client needs to manage the awards of their employees to ensure they're capable of training a certain course. To achieve an award, a trainer needs multiple competencies that are in date. We want a Microsoft power app created to manage this, connecting into system API's. Behind the scenes configuration tables - These must be editable by the client, but only users with a certain permission. - Award - Fields: Name & Competency selection (multi-select from list) - Competency - Reference & Name Main page: 1. Drop down - Select employee from drop down list of employees pulled from external API 2. Once selected, we show all the possible competencies with their linked awards in a list. It will show the date achieved and the expiry date. If the course has expired then this must flag it to the user. Whether or not they've achieved a certain competency will be retrieved from two external API's that will list all training records that delegate has done. Please submit examples of previous work done on power apps. Project will be discussed in greater depth with the chosen developer, including data examples and an excel mock-up of what we want to achieve.

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ECG Signal Morphology Analysis and Classification algo

Complete clarity of the project is attached below please download the file to review the details in full. Thank you.

opportunitypre-funded

Daily scrape of jobs into Google Sheet from employer websites

This project seeks to streamline daily job posting efforts for a large jobs website. At present, we keep it busy we manually finding and posting jobs to the site daily. It's a lot of effort to maintain and I'm looking to streamline and automate it. The 13 organisations I'd like to start with - including links to their pages where jobs are listed/linked out from - are shown in the attached spreadsheet. We'll likely want to expand this list over time. I'm looking to set up a process to monitor for new jobs each day, and to scrape key information into a Google sheet I already have set up. It needs to be a robust process that can run in the longer term to autopilot. The information we'd need to capture for each new job into the Google sheet is as follows: 1 - Job title 2 - HTML of the role description 3 - Employer name 4 - URL of the role 5 - Country 6 - State (if in the USA) Once in the Google Sheet I can then categorise them and import them to the site in batches. Please outline how you'd approach the task. I hope you can help with this task.

Data Extraction - Comparative Analysis - Data Visualization

Job Description Summary: The role involves comprehensive data analysis using SAS. Responsibilities include cleaning and preparing datasets, performing descriptive statistical analyses to summarize findings in a detailed table, and conducting correlation analysis to explore variable relationships. The candidate will develop and test hypotheses using statistical methods such as T-tests, ANOVA, non-parametric tests, and regression analysis, providing insights through visualizations and detailed interpretations. Expertise in SAS procedures like PROC CORR, PROC TTEST, PROC ANOVA, PROC GLM, and others is essential.

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Chatbot for staff at work ai tech

I am looking to create a chatbot for my company group internally and need help developing it and setting it up. Ideally something with AI

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Data Integration, Dashboard development & US Localisation

Integration of new data sources into existing platform, and development of appropriate dashboard Part 1: API Integration and Data Setup i. Back-end: Integrate US-specific datasets (e.g., Census Bureau, Walmart Marketplace) via API connections. Ensure smooth handling of API rate limits, data validation, and adherence to terms of service. ii. Database: Adapt schema to accommodate new US datasets, including regional data segmentation for state-level insights. Optimise for scalability with larger datasets. iii. Front-end: Design and implement interface updates to display API-sourced data clearly, including new visualisations for regional/state-level insights. Part 2: Localisation Features for existing platform i. Front-end: Update user interfaces for US-specific spellings, terminology, and formatting (e.g., MM/DD/YYYY for dates, USD currency). Ensure proper integration of localised datasets and dynamic front-end elements. ii. Back-end: Adjust logic to process localised data and dynamically populate US-specific insights (e.g., Black Friday trends, state-level comparisons). iii. Database: Optimise queries for faster retrieval of localised data and ensure seamless integration with existing UK data. Current stack: - React / Next JS Frontend - Django backend - Postgres database - AWS Serverless Architecture

Excel Queue management of moulds

A manufacturing company requires an automated queue management system to efficiently allocate moulds for their production process. Currently, the company uses a basic spreadsheet to plan finished product orders by customer. However, there is no functionality to optimize mould utilization across jobs. The proposed project aims to develop a supplementary worksheet within the existing spreadsheet template. This new sheet should provide dynamic visualization of moulds currently in use, as well as a prioritized waiting list for upcoming productions. Mould assignments must be automatically updated in real-time as jobs are completed, to seamlessly transition resources to the next highest priority order. Key requirements for the queue include reversible allocation of moulds to open job slots based on priority rules. Statistical data on mould lifecycles and typical process durations can help estimate theoretical throughput. Conditional formatting should highlight moulds approaching replacement thresholds or impending bottlenecks. Well-designed interfaces will facilitate intuitive management of the schedule by production planners. By centralizing mould queue logic within their existing production planning framework, the company hopes to minimize disruptions from unpredictable tooling failures. Transparent scheduling aims to reduce overtime costs and expedite customer deliveries through optimized resource utilization across all manufacturing jobs.

Populating cover sheet dependant on drop downs

The project involves populating a cover sheet based on selections made in a Google sheet. The sheet contains drop-down options, and the task is to automatically populate the cover sheet with relevant details based on the selections made in the drop-downs.

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Power BI updates

We had a Power BI dashboard built on here a couple of years ago. It was awesome and the developer maintained it really well. However he no longer can spare the time for freelance work. I am looking for some maintenance works and a few updates as our business has grown.

Statistical Analysis

Introduction: For a qualitative study, the data of a questionnaire has to be analyzed and correlations/regressions have to be identified. The questionaire has 120 questions with numberic answers each (1,2,3,4,5; with 5 being the best) over 3 years. The questionnaire was sent to two groups: (1) Academia, (2) business. Max 50 answers in total. Each answer is available in a separate excel sheet. Additionally, every questionnaire has 5 custom fields on financial performance. Hypthesis: Ethically operating companies are financially more successful. We measure ethical operations along 120 questions with a scale of 1-5 over 3 years. Financial performance is determined by 5 KPIs that are also measured the the same years. What we ideally see is that the 120 questions' score is higher in a particular year when the financial performance is better in the same year. Research question: 1. Along two groups (academia and companies), can we prove the hypothes? 2. Which of the 120 questions impact the which of the financial KPIs? To which extend? Tasks (not exclusive): 1. Load all data into a statistical tool (like JASP) and provide access. There will be multiple people working on the same dataset. Note that not all questions or KPIs must be filled out in each and every questionnaire. 2. check every questionnaire and harmonize the financial custom fields to capture year-over-year changes in percent rather than absolut values. Note that some questionnaires dont have full financial data due to confidentiallity reasons. 3. Perform correlation / regression analysis to prove the research question. 4. Have 1-2 checkpoints with me to review ideas and preliminary findings. Ideally via phone or online. 5. Document the findings for further academic use. Make sure findings are traceable.

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Power BI / Quicksight Dashboard Configuration

Project Objective: Configure a dashboard using an existing service (e.g., Power BI, QuickSight, Tableau) to display business data collected via APIs. The dashboard should be integrated into our private admin panel, with the possibility of exposing certain data via a password-protected public URL if required. General Requirements - Accessibility: The dashboard must be accessible through our internal admin panel. It should also support the option to expose selected data through a password-protected public URL. - Flexibility and Customization: The configuration must support a multi-tenant setup: each client using our system should see only their relevant data. The data should update dynamically via integration with existing APIs. Tool Selection: Use a proven dashboarding solution like Power BI, QuickSight, or Tableau to ensure speed, scalability, and ease of use. Dashboard Structure Panel 1: Revenue Performance - Data to Display: - Company Revenue (Month to Date): Revenue generated from the start of the current month to date. - Company Revenue (Year to Date): Revenue generated from the start of the current year to date. - Suggested Visualization: - Cards or bar charts. - Highlighted numeric values for quick performance insights. Panel 2: Revenue Percentage by Business Line - Data to Display: - Revenue percentage for each business line. - Absolute revenue amount generated by each category. Suggested Visualization: Pie charts for percentages. Side tables for detailed breakdowns. Panel 3: Revenue vs. Budget by Business Line - Data to Display: Current revenue (Month to Date and Year to Date) for each business line. - Pre-set revenue budget for each line. - Positive/negative variance compared to the budget. Suggested Visualization: Bar charts for direct comparisons. Color indicators to highlight variances. Panel 4: Workflow Overview - Data to Display - Total number of tasks categorized by status: - To Be Managed - To Be Scheduled - To Started - In Progress - Completed - Lost - Other Status Interactive links to drill down into detailed information for each task (e.g., date, client, current status, notes). Suggested Visualization: Dynamic tables with drill-down capabilities. Bar charts or flow diagrams for overall progress representation. Technical Specifications API Integration: Configure the chosen tool to fetch data from REST APIs or other supported data sources (e.g., CSV files, SQL databases). Set up real-time or scheduled data refreshes. Multi-Tenant Access: Apply report-level filters to ensure each client views only their own data. Configure roles and permissions to manage data access. Admin Panel Integration: Embed the dashboard into the admin panel using iframe or embedded reporting options. Ensure a seamless and responsive user experience. Public Data Exposure: Configure a specific view of the dashboard to be shared via a password-protected public URL. Limit displayed data for privacy and security reasons. Scalability and Maintenance: Ensure the configuration is scalable to accommodate new companies, data types, or panels in the future. Simplify modifications to APIs or filters as business needs evolve. Expected Deliverables 1) Initial Dashboard Configuration with the specified four panels. 2) API Integration to dynamically update data in real-time or at scheduled intervals. 3) Dashboard Embedding within the admin panel. 4) Public URL Configuration (if feasible) to display selected data. 5) Operational Guide for adding new clients or modifying filters.

Data Collection and Processing for Existing and New Project

Overview: Looking for a detail-orientated and reliable data analyst/researcher to complete the data collection/processing for an existing unfinished project and separate new project. Requirements: 1) Existing: Complete data harvest and processing for existing contact list of 6566 split into three separate categories within an existing Google Sheet: - Category 1 – Finishing off data field for 4261 contacts. - Category 2 – Complete data for final 377 contacts to include 13 fields per contact. - Category 3 – Process/complete data for another 2029 contacts of which a large number will likely exist from category 1 already. 15 fields per contact. This will require using an existing Google Sheet, LinkedIn and Websites. 2) New: Work on a new set of contacts and provide details sourced from an online register of practitioners (website link to be provided) and also LinkedIn. Required data to be presented in a Google Sheet: - Name, Surname, Email address, Personal LinkedIn URL’s, Job Title, Town. Ideal Candidate Requirements: Experienced in online data collection, and research. Familiarity with tools for gathering and structuring data. Attention to detail and ability to work efficiently to deliver accurate data within agreed timelines. Ability to highlight any data issues in advance of processing. Budget: Open to proposals, based on the scope and timeframe. Timeline: As soon as is possible Please be aware I am not subscribed to LinkedIn Sales Navigator, and I would prefer not to incur this cost. If you are interested, please provide examples of similar projects you have completed, timescales and costs. Many thanks.

MaxContact Call Centre Software Dilar Manager

Hello we are looking for a full time Dilar Manager who can help develop and manage the Softwear MaxContact: Call Centre Software. Must have used MaxContact before please only contact if you have expriance with a sales dilar system

API Automations

We use - Pipedrive as our CRM The following feed into it - Quotient - Magento - Xero - Klaviyo Task 1 - Make the most of API - for example Zapier to move as much as we can into the CRM Task 2 - Automate Business Activity into Monthly Reports See spreadsheet attached.

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We need data scientist for our app CIRCLES by DISEO

We are looking for a data scientist to join our team and help us analyze data and improve our app. The ideal candidate should have experience with data analysis, machine learning, and data visualization. They should also be able to work independently and as part of a team. This is full time role 160 hours per month /remote job/. Responsibilities: Analyze data to identify trends and patterns Develop machine learning models to predict user behavior Visualize data using charts and graphs Work with developers to implement machine learning models into the app Collaborate with other team members to improve the app's functionality Requirements: Bachelor's degree in Computer Science, Statistics, or a related field Experience with data analysis, machine learning, and data visualization Strong programming skills in Python, R, or SQL Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn Experience with data visualization tools such as Tableau, PowerBI, or D3.js Excellent communication and problem-solving skills Ability to work independently and as part of a team If you are interested in this position, please submit your resume and cover letter. We look forward to hearing from you!

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Sports Race Performance Forecasting using Machine Learning

I have a comprehensive database of historical greyhound race data from UK, containing detailed information on each dog and race. I need a skilled machine learning engineer to develop a predictive model that can accurately forecast race outcomes, specifically identifying the highest-performing dogs. Project Objectives: Develop a machine learning model to forecast greyhound race results based on historical performance data. Achieve an improved level of accuracy in predicting the winning dog. Provide data-driven insights into the factors that contribute to successful race outcomes. Data: I will provide a database containing detailed information on thousands of greyhound races, including features such as: Dog information (name, age, weight, etc.) Race information (date, track, distance, trap, going, etc.) Past performance data (finishing position, split times, bend positions, etc.) Other relevant information (odds, grade, racing manager remarks, etc.) The data is well-structured but will require cleaning, pre-processing, and feature engineering. Skills Required: Strong understanding of machine learning concepts and algorithms (classification, regression, etc.). Experience with Python and relevant machine learning libraries (scikit-learn, pandas, etc.). Expertise in data cleaning, pre-processing, and feature engineering. Ability to select and train appropriate machine learning models for forecasting tasks. Knowledge of model evaluation metrics and techniques. Excellent communication and collaboration skills. Deliverables: A trained and optimized machine learning model for greyhound race forecasting. Python code for data pre-processing, model training, and prediction. Documentation explaining the model, its performance, and key findings. A simple user interface or script to input new race data and generate forecasts. The project timeline is flexible but should be completed within 2-3 months Please provide a detailed breakdown of your estimated time and cost for each phase of the project. Evaluation Criteria: Model accuracy and performance on unseen data. Code quality and documentation. Communication and responsiveness. Additional Notes: Experience with time-series analysis and forecasting is a plus. Knowledge of natural language processing (NLP) techniques is desirable for analyzing the "Remarks" feature. The freelancer should be able to explain the model's predictions and provide insights into the factors that influence race outcomes.