Data Visualization

Able to generate useful and engaging graphs with the help of Matplotlib, Seaborn and Plotly. Can make data dashboards that help both technical users and non-technical users understand key trends and important facts.

Data Analysis

A good knowledge of statistical inference, such as applying hypothesis tests, A/B testing, drawing confidence intervals, and explaining p-values. Versed in methods of Bayesian modeling to address issues with probability and uncertainty. I have used statistical techniques on actual projects to gain useful information from detailed datasets.

Tools & Programming

Daily use of Python and R for data analysis, modeling, and scripting. Skilled in using libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow, and PyTorch. Experienced in writing clean, modular code and using Git for version control and collaboration.

Years of Success
0
Total projects
0 K

I'm a Data Analyst

I can interpret data in human language

 Hello there! I’m a web designer, and I’m very passionate and dedicated to my work. With 15 years of experience as a professional data analyst, I have acquired the skills and knowledge necessary to make your project a success. I enjoy every step of the design process, from discussion to collaboration.

I am dedicated to making systems that can study data to become smarter. I hope to use what I have learned in supervised and unsupervised learning, deep learning, and model deployment to make solutions that grow and change. I have done projects that use classification, forecasting, recommendation systems, and natural language processing (NLP).

Portfolio

My Amazing Works

Data Visualization

Able to generate useful and engaging graphs with the help of Matplotlib, Seaborn and Plotly. Can make data dashboards that help both technical users and non-technical users understand key trends and important facts.

Data Analysis

A good knowledge of statistical inference, such as applying hypothesis tests, A/B testing, drawing confidence intervals, and explaining p-values. Versed in methods of Bayesian modeling to address issues with probability and uncertainty. I have used statistical techniques on actual projects to gain useful information from detailed datasets.

Tools & Programming

Daily use of Python and R for data analysis, modeling, and scripting. Skilled in using libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow, and PyTorch. Experienced in writing clean, modular code and using Git for version control and collaboration.

Years of Success
0
Total projects
0 K

I'm a Data Analyst

I can interpret data in human language

 Hello there! I’m a web designer, and I’m very passionate and dedicated to my work. With 15 years of experience as a professional data analyst, I have acquired the skills and knowledge necessary to make your project a success. I enjoy every step of the design process, from discussion to collaboration.

I am dedicated to making systems that can study data to become smarter. I hope to use what I have learned in supervised and unsupervised learning, deep learning, and model deployment to make solutions that grow and change. I have done projects that use classification, forecasting, recommendation systems, and natural language processing (NLP).

Data is Life

I Develop Skills Regularly to Keep Me Updated

Analyzing data is most often done by means of EDA, statistic models, and machine learning.

Python / SQL
0%
Data Visualization: Matplotlib, Seaborn, Plotly
0%
Statistical Modeling (Bayesian Inference, Hypothesis Testing)
0%

Services

What I Do for Clients

Analyzing data is most often done by means of EDA, statistic models, and machine learning.

Data Anlysis and Visualization

Starts from $99

Data visualization refers to the process of examining, cleaning, transforming, and modeling data to discover useful insights, followed by presenting those findings through charts, graphs, and dashboards that enhance understanding and support decision-making.

Stastical Modelling and Machine Learning

Starts from $199

Statistical  Modelling and Machine Learning refer to the use of mathematical techniques and algorithms to understand data patterns, make predictions, and automate decision-making processes based on historical and real-time data.

Data Minning and Data Warehousing

Starts from $199

Data mining and data warehousing refer to the processes of storing large volumes of structured data efficiently and extracting meaningful patterns, trends, and relationships from that data to support business intelligence and informed decision-making.

Tools

Starts from $00

Python, R, SQL, PowerBi, Tableau- These industry-standard tools support efficient data manipulation, statistical analysis, querying, and dynamic visualization to transform raw data into actionable insights and interactive dashboards.

Testimonials

What My Clients Say

The visualisations they created helped us present our quarterly data to stakeholders with clarity and confidence. We’ll definitely be working together again.

Working with this analyst was a game-changer. They turned raw, messy data into clear, actionable insights. Highly recommended for any data-heavy project!"
John Dee
Data Scientist
From exploratory analysis to predictive modeling, everything was top-notch. Communication was seamless and the results were always delivered on time."
Willam Kerry
Data Analyst

Contact Me

I Want To Hear From You

 Please fill out the form on this section to contact with me. Or call between 9:00 a.m. and 8:00 p.m. ET, Monday through Friday

Address

20, Somewhere in world

Phone

+123 456 78900

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