- Blog
- CV generator
- Community
- Documentation
Md Enamul Haque
Rome, Italy
To develop any system or project with my entrepreneurial spirit, leadership and teamwork especially in development sector in any organization where high work ethics is practiced.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
37.8
CodersRank Rank
Top 6%
Top 50
Jupyter Notebook
Developer
Italy
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
30.1
exp.
Python
1.3
exp.
TSQL
6.4
exp.
List your work history, including any contracts or internships
Proxima Network Full-time
Apr 2021 - Aug 2021 (4 months)
Data Scientist
--Analyze on system or data processes, data structures, analytical methods, and applying key techniques
of data sciences (machine learning,Deep Learning, data mining, analysis) to build high quality predictive systems
--Exposure to SQL and databases
--Manage the codebase using Github
--Work with the business to apply scientific methods and to evolve data science solutions
- Development of graphic complexes in the field of data visualization;
- Creation of a vertical Data Visualization tool with respect to the various sources that will feed them;
of data sciences (machine learning,Deep Learning, data mining, analysis) to build high quality predictive systems
--Exposure to SQL and databases
--Manage the codebase using Github
--Work with the business to apply scientific methods and to evolve data science solutions
- Development of graphic complexes in the field of data visualization;
- Creation of a vertical Data Visualization tool with respect to the various sources that will feed them;
QUANTIS Srl Full-time
Sep 2020 - Mar 2021 (6 months)
Information Technology Consultant
• Identified causes of network problems through research and analysis, and developed and deployed
effective solutions quickly.
• Combine IT analysis with review of business and marketing methods to create comprehensive
strategy for improving productivity and profit margin.
• Collect and analyze data using calculations, graphical projection models, and other methods as
necessary to understand current operations and determine areas for improvement.
effective solutions quickly.
• Combine IT analysis with review of business and marketing methods to create comprehensive
strategy for improving productivity and profit margin.
• Collect and analyze data using calculations, graphical projection models, and other methods as
necessary to understand current operations and determine areas for improvement.
Var Group Full-time
Oct 2018 - Aug 2020 (1 year 10 months)
Junior Data Scientist
• All the typical phases of a data science project (business understanding, hypothesis, data transformation, metric analysis, predictive model);
• Machine Learning, Deep Learning, CNN, RNN with Python.
• Python ML / DL libraries and frameworks (eg NLP, Caffe, TensorFlow, Keras, OpenCV,Time series,
PyCaret, SweetViz, Sklearn, Numpy, Pandas, Matplotlib, Seaborn etc.), Flask;
• Implementation and use of the main models of supervised and unsupervised learning: regression, classification, forecasting, clustering, dimensionality reduction, recommendation, natural language processing, business intelligence;
• Main data manipulation techniques: cleansing, integration, normalization, anomaly detection, null imputation, features engineering;
• Programming C#.net (Visual Studio) MVC.
• RDBMS (SQL-SSMS, PostGre SQL), NoSQL(MongoDB)
• Working knowledge of Business Intelligence tools (MS BI, QlikSense)
• Machine Learning, Deep Learning, CNN, RNN with Python.
• Python ML / DL libraries and frameworks (eg NLP, Caffe, TensorFlow, Keras, OpenCV,Time series,
PyCaret, SweetViz, Sklearn, Numpy, Pandas, Matplotlib, Seaborn etc.), Flask;
• Implementation and use of the main models of supervised and unsupervised learning: regression, classification, forecasting, clustering, dimensionality reduction, recommendation, natural language processing, business intelligence;
• Main data manipulation techniques: cleansing, integration, normalization, anomaly detection, null imputation, features engineering;
• Programming C#.net (Visual Studio) MVC.
• RDBMS (SQL-SSMS, PostGre SQL), NoSQL(MongoDB)
• Working knowledge of Business Intelligence tools (MS BI, QlikSense)
Request failed with status code 503