Data Analysis Us Projects
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R Studio Analysis
My dissertation data requires some help from an expert and I am seeking a skilled freelancer to work on the data with me on R. Here's what I need: - Application of regression analysis, and a mediation model. And creating some visualizations of the results. - I already have a specified model to be implemented and the necessary codes to be used. Your role will be to accurately apply this model to my specified set of data. - Prior experience with quantitative data analysis, especially with dissertation-level data, would be ideal. An understanding of social sciences terminology and constructs will be highly beneficial. - The freelancer should possess strong analytical and problem-solving skills, attention to detail and high proficiency in R Studio. This job requires excellent communication skills to ensure I clearly comprehend the application and outcomes of the analysis on my data. The selected freelancer should have extensive experience in similar projects.
a day ago12 proposalsRemoteData visualisation in R, STATA, or tableau
I need a creative and experienced data scientist who can develop neat figures from a dataset that has been analysed and conclusions made. The data are time estimates for several activities in a system, formatted as a .CSV Would need to run regressions and plot distributions and point estimates, but the form of analysis does not need to be discussed. Knowledge of the standard data science methods and programming would be needed.
2 days ago20 proposalsRemoteopportunity
Marketing Expert for Client Acquisition in Data Analytics Sector
We are a startup data analytics company seeking a highly skilled marketing expert to help us find new clients. Our services are centered around providing top-tier data analysis solutions to mid and large market businesses, utilizing the most advanced tools and AI techniques available. The successful candidate will be responsible for developing and implementing a comprehensive marketing strategy aimed at generating leads and facilitating meetings for our sales team. Key Responsibilities: - Design and execute a marketing plan that effectively targets our ideal customer segment. - Experience in using lead generator tools to build a robust list of potential clients. - Conduct outreach to generate leads and arrange sales meetings. - Analyze the performance of marketing initiatives to continually refine our strategy. Freelancer Requirements: - Expertise in lead generating tools to find the targeted clients needed for our business. - Proven ability in crafting and implementing innovative marketing strategies in the B2B space, ideally within the tech or data analytics domain. - A portfolio demonstrating previous marketing successes, particularly in lead generation and customer acquisition. - Strong communication skills for creating impactful marketing content and outreach communications. - Knowledge of data analysis tools would be a plus but not required (e.g., Tableau, Power BI, Adobe Analytics, HubSpot, Salesforce). We use these tools to provide data analysis services. Project Goals/Objectives: - Position our company as a go-to solution for businesses seeking advanced data analysis services. - Deliver a consistent flow of qualified leads to our sales team, driving customer acquisition and business growth. Timeline: Immediate start, with the goal of achieving measurable results. There will be opportunity for ongoing work for a talented freelancer.
7 days ago20 proposalsRemoteUsing R language to code regression using TIFF files
I need a data analyst who can teach me to write R code for a project in which I am exploring the associations between an event occurring and different environmental conditions. The event has occurred multiple times in different locations. I have the different TIFF files for each of the environmental conditions at each of the times when the event occurred as well as the coordinates of where the event occurred. I would like the analyst to meet with me over call to 1. Explain what type of regression should be used to analyze this data and explore whether there is an association between the different conditions and the event occurring 2. Help me to write R code to do this analysis
4 days ago9 proposalsRemoteFinance Support Consultant
Finance Support Consultant - Specific Area: Investment Analysis - Ongoing support required - Ideal consultant should have expert level experience in finance We are looking for an experienced Finance Support Consultant with expertise in Investment Analysis to join our team. This is an ongoing support position, where the consultant will be responsible for providing expert level guidance and analysis in the area of investment. Requirements: - Expert level experience in finance, specifically investment analysis - Strong knowledge of financial markets and investment strategies - Ability to analyze and evaluate investment opportunities - Proven track record of successful investment analysis - Excellent communication and presentation skills - Ability to work independently and meet deadlines If you are a finance consultant with expert level experience in investment analysis and are looking for an ongoing support opportunity, we would love to hear from you. Please provide your portfolio or examples of previous work showcasing your expertise in investment analysis.
a day ago2 proposalsRemoteGoogle Ads Manager & Performance Analyst
We are seeking an experienced Google Ads Manager & Performance Analyst to support our team for 3 months, 20 to 40 hours per month. - Insights & Reporting (using Google Ads and GA4) - Budget Pacing - New Campaigns (Ad copy & Structure) Requirements: - To be considered please provide a sample report with custom insights you have done in the past (you can blank out any sensitive data). We are looking for someone with proven experience in Google Ads management, with a strong emphasis on performance analysis and reporting. Excellent communication skills, with the ability to distil complex data into actionable insights is a must.
a day ago24 proposalsRemoteData Scraping
I need a list of all test preparation companies, with their contact information, listed in Yelp for the 387 metropolitan areas listed at https://en.wikipedia.org/wiki/Metropolitan_statistical_area. For example, in the St. Louis metropolitan area, Yelp lists 52 companies at https://www.yelp.com/search?find_desc=Test+Preparation&find_loc=Saint+Louis%2C+MO&start=50. You will need to click the "Test Preparation" button that appears just below the company name to filter the list to only companies that offer that service. You will need to click the company name and then the company website link on the right side to access those websites. The company information must include the URL of the Yelp page, company name, phone number, website address, any physical address broken down into Address, City, State and Zip Code fields, and email address listed anywhere on the site, especially in the Contact Us page if that exists.
19 hours ago48 proposalsRemoteopportunity
Power BI (5) - P&L Charts
This project requires development of four charts in Power BI based on Profit and Loss data. The client needs visual representations of key financial metrics to gain insights into organizational performance. Visuals should show trends over time in areas like revenue, costs, profit margins etc. through bar, line or other appropriate chart types. Proper filters and formatting is expected to make data easily comprehendible. Development must follow best practices for data modeling and visualization in Power BI. Charts need to be pixel-perfect with labels, legends and titles as per the client's style guide. Interactivity through tooltips and drill-downs/ups would aid analysis. Project involves connecting to an Excel or CSV data source, development of four finely crafted charts presenting interrelated P&L metrics, applying conditional formatting and layout. Testing across desktop and web versions of Power BI is required before delivery. Attention to design aesthetics, usability and client needs is important. Proficiency in DAX and visualized analytics capabilities of Power BI is preferred for this project.
a day ago24 proposalsRemoteData scrape consolation
An expert consultation is sought regarding modern artificial intelligence techniques for efficient data scraping. For over nine years, traditional scraping methods using common websites have been employed to gather information from Google Maps and LinkedIn. However, newer AI technologies promise scraping capabilities at significantly reduced costs compared to established solutions. Rather than using code or tools directly, the consultant would identify and briefly describe the ten best scraping platforms that leverage artificial intelligence to deliver high-quality data rivaling industry leaders, but at optimized pricing. In return for a10 minute consultation providing these top scraping website recommendations, a £10 payment will be provided. The aim is to uncover the highest data value possible through cutting-edge AI scraping alternatives.
a day ago16 proposalsRemoteWinmo, Pathmatics or MediaRadar Reports
Is anyone out there using Winmo, Pathmatics or MediaRadar for competitor analysis of social spend across channels? I'm not in a position to afford a subscription to these, but would be keen to pay for a gig for someone to run some reports on my behalf.
10 hours ago1 proposalRemoteData Warehouse Engineer & Architect
We are a Conversational AI platform that ingests raw conversations between companies and their customers and enriches them to help our customers better understand what's going on in these conversations and to help them find actionable insights. Our business is rapidly growing and so are our databases and, in the short-term, we need help tuning what we have but also need help building a plan that will allow us to scale into the future with 10s of millions of conversations (100s of billions of utterances). We're knowledgeable but not DBAs and could use expert guidance for the short-term and, if things work out, for the long-haul as well. The ideal candidate will have strong knowledge and hands-on experience in data warehouse design and implementation, with expertise in technologies such as Postgres, Azure CosmosDB, Citus, Snowflake, DataBricks, Redshift, and Aurora. The successful candidate will be responsible for database performance optimization, both for OLTP and OLAP workloads. The role requires a solid understanding of data engineering principles and the ability to design and architect scalable and efficient data warehouse solutions.
21 hours ago7 proposalsRemoteWebsite data scraping
I need to scrape 9 data points from a website and put them into mySQL database. I have one table with these 9 fields. I need a script which runs every hour, scrape data and load the data into this table in mysql database.
7 days ago36 proposalsRemotePPE Data - UK only
Hi. We supply PPE (Personal Projective Equipment), like workwear, gloves and masks. We have built up a fantastic customer base, but we are looking to target more companies within the UK. Main sectors include; Automotive Construction Food & Drink Manufacturing We would like to run small test campaign with someone, targeting around 100 contacts to start with. If the campaign works i.e. the data is good, we will purchase more.
8 days ago37 proposalsRemotepre-funded
Telemarketing / Data Cleansing
Initial Pilot of 50 records to call to promote a free to attend event and also to procure an email address where event details can be sent. Looking for someone to promote the event on the phone though.
10 days ago31 proposalsRemoteopportunity
Need Business Data Scraping Software
Hello, I need a desotop software or web application that will scrape business data automaticly with given parameters from the listings below. You can write the software in any programming language like C, C++, Java, Phyton, PHP. Sample Application : https://www.googlemapsemailextractor.com/ 1-Google Maps 2-Bing Maps 3-Yandex Maps 4-Linkedin 5-Facebook 6-Yelp 7-Yellowpages.com 8-Superpages.com 9-Chamberofcommerce.com You need to answer some questions before your proposal will be reviewed. What programming languages you are good at. How long you are developing softwares or applications. Have you ever coded or developed a software similar to https://www.googlemapsemailextractor.com Please download and test https://www.googlemapsemailextractor.com/ before you send a proposal. I need these details of companies from those listings. Company Name Company Sector / Category Company Email Company Phone Number Company Location Company Website Application will have Features like https://www.googlemapsemailextractor.com
6 days ago31 proposalsRemotepre-funded
Data collection for spreadsheet
Hi, I am currently looking for someone who is able to dedicate some time in collecting data from leading job boards and websites and pop them onto an excel spreadsheet for us. The information I would need would include: Company > Website > Name > Email > Location of person We would be happy to discuss each individuals proposals including their fees' We would be looking for: Domestic/Gas Engineering companies **please note** we are not interested in one man bands and their companies we want companies that are growing and recruiting! Hence why I would like to export data from job boards to create a spreadsheet with operations/service managers. If you are interested in this, please include how long it would take you to complete this project. Looking for 600/800 + companies (UK ONLY)
12 days ago88 proposalsRemoteA market research and competitor analysis for music business
I need a market researcher to do a research on personalised song business covering USA BRITAIN NIGERIA AND EUROPE. To understand my chances of the business doing well compared to competitors such as songlorious songfinch and cameo To prove that a business focusing on personalized songs is profitable, market research should aim to gather and analyze information on several key areas. The bullet points below highlight what aspects the research needs to cover: Demand and Customer Interest: The size and characteristics of the target market interested in personalized songs. Consumer willingness to pay for personalized songs, including price sensitivity. Occasions or reasons consumers would purchase personalized songs (e.g., birthdays, anniversaries, weddings). Competitive Landscape: Identification of direct competitors offering personalized songs or similar personalized products. Analysis of competitors' pricing, product offerings, market positioning, and customer reviews. Identification of gaps in the current market that the personalized song service could fill. Cost Analysis: Estimated costs involved in creating and delivering personalized songs, including payments to singers, producers, and any other contributors. Marketing and operational expenses needed to run the business. Break-even analysis to determine how many sales are needed to cover costs. Revenue Streams and Business Model: Potential revenue streams (e.g., single song purchases, subscription models, premium services). Forecasted sales based on market size, consumer interest, and pricing strategy. Customer Acquisition and Retention: Effective marketing channels for reaching the target audience. Strategies for customer retention and encouraging repeat purchases. Customer feedback or testimonials to gauge satisfaction and areas for improvement. Legal and Copyright Considerations: Requirements and costs associated with licensing for music production, especially if using existing tunes. Legal considerations around copyright law and personalization. Technological Requirements: The technology needed to produce personalized songs efficiently. Platform or website development costs for taking orders and delivering the final product. Market Trends: Current trends in personalized products and digital gifts. Changes in consumer behavior towards unique and customized gift options. Sociocultural Factors: Cultural or social trends influencing gift-giving practices. Potential for international expansion based on cultural receptiveness to personalized gifts. SWOT Analysis: Strengths: Unique selling propositions and competitive advantages of the personalized song service. Weaknesses: Potential challenges and limitations the business might face. Opportunities: Emerging trends and market gaps that the service could capitalize on. Threats: External factors that could pose risks to the business (e.g., economic downturns, changes in copyright laws). By addressing these points through comprehensive market research, you can validate the business idea's profitability and sustainability. This information not only proves the business's potential but also guides strategic planning and decision-making.
17 days ago11 proposalsRemoteopportunity
Automated Semantic Text Analysis Pipeline
Comprehensive Use Case Specification: Automated Semantic Text Analysis Pipeline Objective Develop an automated semantic text analysis pipeline that processes and analyses textual data extracted from documents. This pipeline enriches text with metadata for deeper insights and enables semantic search capabilities through a user-friendly interface. This stage of the project is for a MVP system should leverage AWS services such as Textract for text extraction, a text categorising stage with a simple to use GUI, all-mpnet-base-v2 for embedding, and Postgres with a vector extension. This job posting is for the MPV stage only, but we must be mindful of the stage two development and facilitate rapid and straightforward scalability in any stage one MPV processes. System Overview The solution encompasses AWS services for storage and processing, a custom interface for metadata enrichment, all-mpnet-base-v2 for generating text embeddings, Postgres and a vector extension for efficient storage and retrieval of vectors, and a custom-built web interface for user interaction. RAG will be implemented with a broad a context as possible to the model across a large document set. Phase 1: MVP Stage 1. Document Storage and Processing Trigger - Tool: Amazon S3. - Process: Upload documents (PDFs initially) to designated S3 buckets, documents will be remained in accordance with a set naming convention and key metadata relating to the document entered into the database for future reference. This triggers the subsequent text extraction process. For test purposes the uploads will be made manually, and at later stages a web scraper will be added that automatically places PDF documents into relevant S3 buckets. 2. Text Extraction - Tool: AWS Textract. - Process: Text is extracted from uploaded PDF documents and temporarily stored in A3 buckets to facilitate further processing. 3. Text Enrichment Developer to advise on best method of adding labels / categories to the text, via an easy to use interface. Labels to be added at a granular level to allow the return of text snippets, providing context to the LLM in formulating it's responses from a broad range of documents without exceeding the token limit. 4. Text Vectorization - Embedding tool: all-mpnet-base-v2 - LLM: Amazon SageMaker (using LLaMA 2). - Process: The text is processed with LLaMA 2 to generate vector embeddings, capturing semantic information for advanced analysis and search functionalities. 5. Vector Storage - Tool: Postgres with a vector extension - Process: Text vectors are stored in the database, allowing for efficient management and retrieval of vectorized data for semantic searches. 6. Front-end Web Application and Search Functionality - Front-end Technology: React.js. - Key Features: - Semantic search input and results display. - email input field for collecting contact information for marketing purposes, forwarding to the client's email address. - Homepage containing descriptive marketing text. - 3 pages total: home page, interaction page, contact page, plus a pop up with GDPR info. Graphics provided as template guidance. - Back-end Technology: Python with FastAPI. Phase 2: Full Automation and Scaling 1. Automated Document Ingestion - Process: A web scraping tool is implemented to automatically identify and upload new documents to the S3 bucket, facilitating a continuous flow of data into the pipeline without manual intervention. 2. Scalable Architecture - Deployment: The application components are containerized using Docker and managed with Kubernetes (Amazon EKS), ensuring the system can scale efficiently to accommodate increased data volumes and user queries. 3. Enhanced Processing Capabilities - Improvements: Integrate additional NLP and ML models for broader and more nuanced text analysis. Consider fine-tuning custom models for specific domain applications. 4. User registration and user management system integration. Please note the attached contract agreement that will be deemed agreed to upon acceptance of the project. Your price given on PPH will be deemed to be your full and final price, and you will be deemed to have fully understood the scope, brief, and specification. To provide context, the project business plan has been uploaded. This is for context only and does not form part of the brief.
21 days ago11 proposalsRemoteComplete Explanation For Data Science Resume Projects
I want help in explaining my data science projects in interview in a detailed manner . I am data science professional looking for a job switch of 3 years. Projects: 1) CONSUMER COMPLAINT CLASSIFICATION (NLP) Building an API and training model to classify future complaints based on its content for a banking firm. The dataset is of 2 million rows, 5+ years historical data. Skills/Technology: Python, SVM classification, Random Forest ,Flask, Glove ,Word2Vec 2) PREDICTIVE MAINTENANCE Built an end to end machine learning model for a heavy industry firm which records different features like power,temperature etc for machines and predicting whether failure will happen or not. Skill/Technology: Python, FastAPI, Digital Ocean.,Streamlit,Docker 3) RECOMMENDATION ENGINE FOR AUTOMATED TRADING PLATFORM Developed custom Technical Indicators Functions to analyse historical price data and market trends, triggering buying signals when specific conditions were met. Empowered traders clients with actionable insights by providing timely buy signals aligned with market trends. Skill/Technology: TA-Lib, TensorFlow, NumPy, Pandas, sklearn, statsmodels 4) INSURANCE POLICY CROSS SELLING A classification/ranking project aimed to detect health insurance customers most likely to buy a new type of insurance from the company - car insurance. To solve this problem a machine learning model was built to classify the customers by their probability of buying the insurance. The Heroku platform was used to deploy the ML model, which will respond to requests via API. Skill/Technology: XGBoost,LightGBM, NumPy, Flask,Heroku 5) CUSTOMER CHURN PREDICTION FOR A MALAYSIAN BANK Developed a model to analyse customer data and predict churn to boost customer retention.Employed statistical techniques on customer data using Pandas, Seaborn, and Sklearn. Reduced customer churn rate by 7%, leading to increased revenue, lower marketing costs, and enhanced customer loyalty.
7 minutes ago0 proposalsRemoteMicrosoft Dynamics 365 F&O finance Functional consultant
Required Skills/Experience: Should have 8+ years of Experience 5+ years of MS Dynamics 365 Finance & Operations experience 5+ years of Business Analysis, consolidating requirements, and Documentation 5+ years’ experience in customizing and configuring Dynamics 365 Finance & Operations 5+ years’ experience with extending D365 1+ years architecting solutions 1+ years of data migration experience (into D365 F&O) 1+ years reporting in D365 F&O Excellent interpersonal, facilitation, oral, and written communication skills. Strong analytical and problem-solving skills Intermediate to advanced use of office automation tools including MS Word, Excel, PowerPoint, Vision and Project.
8 days ago14 proposalsRemote