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I will be your data science consulatant

I will be your data science consulatant

A data science consultant works with organizations to perform analyses and computations that draw insights from collected data. They work with clients to improve their data competencies, analytical skills and business strategies.

Get  I will be your data science consulatant

Deliver an end-to-end data science consulatancy. The offer includes:

  • Google Colab Notebook (no software required to be installed) containing the entire python pipeline with a lot of interactive charts
  • Documentation of the theory behind each step performed and graph included directly in the notebook
  • Replicability/Scalability: Analysis is completely reusable
  • Methodologies: Up to 50+ different Machine Learning algorithms fit and compared

The analysis consists of: 

  1. Data preprocessing & Data Cleaning: Collect input data, Deal with missing values, Drop duplicates, Normalize values, etc.
  2. Fit ML Model: Create 50+ ML models, compare their performance and select the best performing one
  3. Hyperparameter optimization of best ML Model: To improve even more its performance
  4. Ensemble models: Blend/Boost/Stack multiple ML models to create e new unique one
  5. Forecast: Compute Forecasts for the desired KPI
  6. Performance: Measure the Performance of the forecasts
  7. Deploy Model: Save/Load model to apply to future data
  8. Model Interpretation: Automatic insights of the impact of other variables on the expected target variable

I am a data scientist who have experience in working various industry sectors like oil and gas,finance etc.I believe in delivering the project with top quality with minimal cost.

I believe in keeping long lasting relationship with my clients and I also constantly improve the project untill the clients are satisfied.

I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python for various clients.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data1. 

It combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data2. 

These insights can be used to guide decision making and strategic planning2.

Data science is related to data mining, deep learning and big data1. 

It also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine)3.

Some of the most important technical data scientist skills are:
  • Statistical analysis and computing
  • Machine Learning
  • Deep Learning
  • Processing large data sets
  • Data Visualization
  • Data Wrangling
  • Mathematics
  • Programming
In addition to these technical skills, data scientists should also have soft skills such as communication, problem-solving, and business acumen12. 

They should be able to communicate their findings effectively to both technical and non-technical stakeholders3. 

They should also be able to identify business problems that can be solved with data2

There are many data science tools available in the market. Some of the most popular ones are:
  • Python
  • R
  • SAS
  • Apache Spark
  • BigML
  • D3.js
  • MatLab
  • Excel
  • NLTK
  • TensorFlow

Python is by far the most widely used data science programming language1. 

It helps data science professionals to perform data analysis over large datasets and data of different sorts (structured, semi-structured, and unstructured)2. 

R is another popular programming language for data science2. 

SAS is one of those information scientific instruments designed purely for statistical purposes3. Apache Spark is a powerful analytics engine and the most commonly used Data Science instrument34. 

BigML is another data science tool that is used very much3. 

D3.js is a JavaScript library for producing dynamic, interactive data visualizations in web browsers3. MatLab is a numerical computing environment and programming language3. 

Excel is a spreadsheet program that can be used for data analysis3. NLTK (Natural Language Toolkit) is a Python library for working with human language data3. 

TensorFlow is an open-source software library for machine learning and artificial intelligence3

consultancy for 1 hour : $105
Live consultation for 1 hour

1 Day Delivery
  • Model creation
  • App development