You will get Transform Your Data: Clean and Preprocess Messy Datasets Efficiently
Project details
You will receive top-tier data cleaning and preprocessing services that will transform your raw data into a strategic asset for your business. With over six years of experience in data analytics and science, I specialize in advanced techniques using SQL, Python, R, and Google Cloud Platform. My dedication is towards ensuring your data is accurate, reliable, and ready for insightful analysis. The solutions I provide are tailored to your unique needs, ensuring that you can make data-driven decisions with confidence. The results you get are efficient, scalable, and compliant with all major data protection regulations, ensuring high-quality and secure data handling.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 2 | 4 | 6 |
Number of Sources Mined/Scraped | 2 | 4 | 6 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $700
Additional Revision
+$15
Additional Page Mined/Scraped
(+ 1 Day)
+$25
Additional Source Mined/Scraped
(+ 1 Day)
+$25
Documentation of Cleaning Steps
(+ 1 Day)
+$25
Code
(+ 1 Day)
+$50
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JB
Justin B.
Oct 28, 2024
Long-term support from senior business analyst on client projects
Michael was a great asset to the team during the time we worked together. He is highly skilled in a number of areas related to business intelligence and data. Michael was especially helpful when it came to working with Google Cloud Platform
About Michael
Data Scientist & Analyst | GCP Expert | ML Specialist
Eagle Mountain, United States - 7:36 pm local time
Expertise and Skills:
Google Cloud Platform (GCP): Highly proficient in GCP services including BigQuery, Cloud Composer (Airflow), Looker Studio, and Vertex AI.
Data Pipeline Development: Skilled in designing robust ETL pipelines that boost data processing efficiency between platforms like HubSpot and BigQuery.
Advanced Analytics: Expertise in performing NLP-driven analytics, SQL optimization, and hypothesis testing to derive high-accuracy insights.
Data Visualization: Adept at creating comprehensive dashboards and visual graphics using Looker Studio, Tableau, Matplotlib, and Plotly.
Machine Learning: Experienced in implementing predictive models, including NLP models, supervised and unsupervised learning techniques, and leveraging Python libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.
Statistical Analysis: Proficient in exploratory data analysis, hypothesis testing, and using advanced statistical methods to uncover trends and insights.
Professional Experience:
Data Analyst at Spoonful Of Comfort (03/2022 - Present):
- Designed custom data pipelines to enhance data processing and integration.
- Built specialized dashboards for key performance metrics and ecommerce analytics.
- Developed predictive models and implemented GA4 Advanced Analytics projects to increase customer engagement.
Data Analyst at Harmon Brothers Consulting (06/2020 - 02/2022):
- Created and maintained dynamic analytics dashboards offering real-time insights.
- Conducted meticulous data extraction and cleansing to ensure data accuracy.
- Provided detailed analytic reviews on pivotal business metrics to support strategic initiatives.
Manager at Harmon's Grocery (03/2016 - 06/2020):
- Utilized Domo Data Analytics to enhance gross profit margins.
- Applied data-driven decision-making for sales forecasting and inventory modeling.
Education and Certifications:
- Associate's Degree in Mathematics from Utah Valley University
- Certified Data Scientist Associate from DataCamp
I am committed to pushing the boundaries of data science and machine learning, continuously learning and applying new techniques to solve complex problems. Let's connect to discuss how I can help you leverage data to achieve your business goals.
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Client Consultation
Review client requirements and project scope Discuss data sources, formats, and expected outcomes Clarify any questions about the data or project goals
Data Assessment
Receive access to client's dataset(s) Perform initial data exploration and profiling Identify data quality issues (e.g., missing values, duplicates, inconsistencies) Document findings and create a data quality report