Empowering Business with Data-Driven Solutions

I am a professional Data Scientist that wields forces for the greater good and empowering both industries and processes in a way of unwavering dedication and relentless pursuit. Conducting practices in Statistical Analysis, Big Data Technology, Machine Learning, and Deep Learning, I am equipped with the great skills as an extraordinary Data Scientist and eager to explore a plethora of various business. As to my living tenet, being a real Data Scientist is real and I can barely not think of it in one single day of my life.

Muhammad Reyhan Arighy

Data Scientist

Have mastery in

Python is a versatile and widely used programming language that has gained popularity for its simplicity and ease of use, making it a top choice for various applications and has contributed in the world of programming. For me, Python is like a versatile Swiss Army Knife.

Python High-Level Programming Language
It is one of the most widely used machine learning libraries in Python. Just like a skilled sniper, Scikit-learn is precise and accurate in targeting the right insights and patterns from vast datasets, making it a valuable and essential tool for me as a data scientist practitioner.

Scikit-learn Machine Learning Swiss Army Knife
Pandas provides easy-to-use data structures and data analysis tools. It allows me to efficiently manipulate, clean, transform, and analyze data, making it a valuable companion in various data-related tasks.

Pandas Data Manipulation Wizard
MySQL acts as a powerful guardian of data. It plays a crucial role in storing, organizing, and managing vast amounts of structured data, ensuring its availability and security for analysis and decision-making.

MySQL Robust Relational Database Management System
Just as a maestro leads an orchestra to create harmonious music, Tableau helps me to orchestrate and transform raw data into insightful visualizations and interactive dashboards. It empowers to discover meaningful patterns, insights, and trends from complex datasets.

Tableau Data Insights Alchemist
Just as an engine powers a machine, TensorFlow powers a wide range of neural network models and machine learning applications. It is renowned for its ability to build, train, and deploy deep learning models, making it a fundamental tool in the world of artificial intelligence.

Tensorflow Deep Learning Powerhouse
Spark serves as a powerful engine that ignites big data processing tasks, enabling organizations to process vast amounts of data quickly and efficiently. It excels in distributed data processing and analytics, making it a fundamental tool for big data applications.

Spark High-Power Big Data Processing Framework
Similar to how an enabler provides the tools and resources to achieve my goals as a data scientist, AWS empowers businesses, organizations, and developers to leverage the full potential of cloud computing to innovate, scale, and succeed in the cloud computing era.

Amazon Web services Cloud Computing Powerhouse

Verified Skills

Job Connector Bootcamp Data Science and Machine Learning
Issued by Purwadhika Digital Technology School
- Programming Fundamental with Python
- Python Class and Object
- SQL and No SQL
- Python for Data Analysis and Visualization
- Statistics
- Tableau
- Supervised Machine Learning Regression
- Supervised Machine Learning Classification
- Generalization, Underfitting, and Overfitting
- Data Preparation and Feature Engineering
- Model Performance, Evaluation Method, and Hyperparameter Tuning
- Imbalance Classification
- Ensemble Method
- Unsupervised Machine Learning
- Time Series Forecasting
- Text Mining
- Recommendation System
- Machine Learning Implementation for Business and Analytics
- Git and Github
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Python for Data Science and Machine Learning Bootcamp
Issued by Udemy
- Python for Data Analysis: Pandas and Numpy
- Python for Data Visualization: Matplotlib, Seaborn, and Plotly
- Linear and Logistic Regression
- K Nearest Neighbours
- Decision Trees and Random Forests
- Support Vector Machines
- K Means Clustering
- Principal Component Analysis
- Recommender Systems
- Natural Language Processing
- Neural Networks and Deep Learning
- Big Data and Spark with Python
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Complete Guide to TensorFlow for Deep Learning with Python
Issued by Udemy
- Manual Creation of Neural Networks for Regression and Classification Tasks
- TensorFlow Regression and Classification
- Artificial Neural Networks
- Densely Connected Networks
- Convolutional Neural Networks for Computer Vision
- Recurrent Neural Networks for Time Series Problem and Word2Vec
- Dimensionality Reduction with Linear and Stacked AutoEncoders
- Reinforcement Learning with OpenAI Gym
- Generative Adversarial Networks
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AWS Certified Machine Learning Specialty 2023 - Hands On!
Issued by Udemy
- Data Engineering with S3, Glue, Kinesis, and DynamoDB
- Exploratory Data Analysis with Athena, Apache Spark, and EMR
- General Deep Learning, Machine Learning, and Hyperparameter Tuning
- Automatic Model Tuning and Operations with SageMaker
- High-level ML Services: Comprehend, Transcribe, Translate, Polly, Lex, Rekognition, Forecast, and Personalize
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Python (Basic)
Issued by Hackerrank
- Scalar Types
- Operators and Control Flows
- Strings
- Collections and Iteration
- Modularity
- Objects, Types, and Classes
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SQL (Basic)
Issued by Hackerrank
- Simple Queries
- Relationships
- Aggregators
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SQL (Intermediate)
Issued by Hackerrank
- Complex Joins
- Unions
- Sub-queries
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SQL (Advanced)
Issued by Hackerrank
- Query Optimization
- Data Modeling
- Indexing
- Window Functions
- Pivot in SQL
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Problem Solving (Basic)
Issued by Hackerrank
- Data Structures (Arrays and Strings)
- Algorithms (Sorting and Searching)
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