Data Cleansing Jobs

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About Data Cleansing

Data Cleansing is an important step in the data analytical process. It is the process of organizing and reshaping raw data collected from different sources, as well as detecting and removing errors or inconsistencies in order to make it ready for analysis. A skilled Data Cleanser can help clients mine the data they need, ensuring what they are working with is of high-quality and useful.

For any business that deals with large amounts of data, the task of organizing it can be daunting. But Data Cleansing allows the datasets to become usable information which can be implemented into various decision-making processes. The inclusion of Data Cleansers in these processes makes all the difference in keeping companies on top of all their data needs.

Here's some projects that our expert Data Cleansers made real:

  • Verifying the accuracy of datasets from all over the world.
  • Researching product pricing from different sites.
  • Collectingvertical Korean text from supermarkets and transforming it into usable files.
  • Creating new listings on shopifyfrom alibaba links.
  • Conducting site visits to check validity in specific areas.

As you can see, Data Cleansing is an important and necessary step for businesses when dealing with large amounts of data, both digital and physical. Our experienced experts have helped a plethora of clients attain usable data to make better informed decisions that lead to higher profits. So if you're looking for someone to help you manage your data needs efficiently and quickly, post your project on freelancer.com and hire a Data Cleanser today!

From 67,749 reviews, clients rate our Data Cleansers 4.92 out of 5 stars.
Hire Data Cleansers
About Data Cleansing

Data Cleansing is an important step in the data analytical process. It is the process of organizing and reshaping raw data collected from different sources, as well as detecting and removing errors or inconsistencies in order to make it ready for analysis. A skilled Data Cleanser can help clients mine the data they need, ensuring what they are working with is of high-quality and useful.

For any business that deals with large amounts of data, the task of organizing it can be daunting. But Data Cleansing allows the datasets to become usable information which can be implemented into various decision-making processes. The inclusion of Data Cleansers in these processes makes all the difference in keeping companies on top of all their data needs.

Here's some projects that our expert Data Cleansers made real:

  • Verifying the accuracy of datasets from all over the world.
  • Researching product pricing from different sites.
  • Collectingvertical Korean text from supermarkets and transforming it into usable files.
  • Creating new listings on shopifyfrom alibaba links.
  • Conducting site visits to check validity in specific areas.

As you can see, Data Cleansing is an important and necessary step for businesses when dealing with large amounts of data, both digital and physical. Our experienced experts have helped a plethora of clients attain usable data to make better informed decisions that lead to higher profits. So if you're looking for someone to help you manage your data needs efficiently and quickly, post your project on freelancer.com and hire a Data Cleanser today!

From 67,749 reviews, clients rate our Data Cleansers 4.92 out of 5 stars.
Hire Data Cleansers

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    2 jobs found
    Personalized Property Rating System Creation
    3 days left

    Title: Development of a Personalized Property Rating System Description: We are looking for an experienced developer to help us create a system that can generate personalized property ratings. The goal is to integrate various external data sources, process and clean the data, and generate ratings based on multiple key metrics. These ratings will assist in matching properties with clients based on their unique investment preferences. Key Features: 1. Data Integration: • Pull data from external sources related to property market trends, pricing, yields, growth potential, and more. 2. Data Cleaning and Processing: • Clean and process the data to ensure it’s ready for analysis and reporting. 3. Property Rating Calculation: • Calculate property ratings using multip...

    Algorithm Analytics API Integration Data Analysis Data Cleansing
    $1312 Average bid
    $1312 Avg Bid
    40 bids
    Bid now
    Fine-Tune Wav2Vec2 for Enhanced Speech Recognition
    2 days left
    Verified

    I need an expert in machine learning, specifically with experience in fine-tuning the Wav2Vec2 model on custom data. The primary aim is to improve the model's speech recognition accuracy. Requirements: - Fine-tune the Wav2Vec2 model on our speech recordings with transcriptions. - The recordings primarily consist of conversations, so the model should be capable of understanding and processing dialogue. - Ultimately, the goal is to enhance the performance of speech recognition on our custom data. - Create future pipeline for 2nd layer of finetuning with Industry specific data Ideal Skills: - Proficiency in Python and Pytorch. - Extensive experience with Wav2Vec2. - Ability to work with labeled speech data and fine-tune models for improved accuracy. - Strong understanding of machine l...

    Automatic Speech Recognition Data Augmentation Data Cleansing Machine Learning (ML) Python
    $1157 Average bid
    $1157 Avg Bid
    25 bids
    Bid now
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