Data Analysis and Reporting by Fridolin F. PaikiData Analysis and Reporting by Fridolin F. Paiki

Data Analysis and Reporting

Fridolin F. Paiki

Starting at

/hr

About this service

Summary

I'm a passionate and results-oriented Data Analyst with 10+ years of experience leveraging SQL, Python, and Machine Learning to solve complex business challenges.

I excel at:

Data Wrangling & Cleaning: Master of messy data. I transform raw data into clean, structured formats for analysis.

Exploratory Data Analysis: A keen eye for patterns. I uncover hidden trends and relationships within your data.

Machine Learning Modeling: Skilled in various algorithms (e.g., Regression, Classification, Clustering) to make accurate predictions.

Data Visualization: Storytelling with data. I create compelling dashboards and reports to communicate insights effectively.

SQL Proficiency: Adept at querying and manipulating data in relational databases.

Python Expertise: Utilize libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and more to power my analyses.

Specific Skills:

- Python, SQL, Pandas, NumPy, Matplotlib, Scikit-learn

- Machine Learning (Regression, Classification, Clustering)

- Data Visualization (Tableau, Power BI)

- API Integration

- Experience in several industries

Client Testimonials:

**"Fridolin's ability to quickly grasp complex data and translate it into actionable insights was invaluable to our project. He is a highly skilled data analyst with excellent communication skills." - Kaspar Situmorang, Ajinomoto

**"Fridolin delivered high-quality work on time and exceeded expectations. He is a reliable and talented data analyst who I would highly recommend. He suggest changes in the system data management in order to provide better solution" - Harbin Tantono, BTPN Bank.

What's included

ETL
This includes extracting, transforming and load the data from the data sources into the destination (this could be a data staging area or a database)
Exploratory Data Analysis
This report summarizes key findings from initial data exploration, including visualizations, descriptive statistics, and correlations. This can be done using Python, Numpy, Pandas, or SQL.
Data Cleaning
This report assesses the completeness, accuracy, and consistency of the data used in the analysis. This including cleaning the data, remove null fields, etc.
Statistical Analysis
This presents the results of statistical tests used to answer specific questions or hypotheses about the data.
Data Modelling
Based on the analysis, this provides actionable recommendations and builds the models for future machine learning processes.

Skills and tools

Data Visualizer

Data Analyst

Data Engineer

Data Analysis

Microsoft Excel

pandas

Python

Tableau

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