Client Background
Client: A leading Technology, Information and Internet firm in India
Industry Type: IT
Services: Emerging Technologies, 2030, and 2050
Organization Size: 10+
The Problem
The objective was to analyze, research, and propose data science solutions in the product based on the product design, use cases, and services.
Our Solution
- Analyze each use case
- Analyze product design
- Analyze user type, controls per use cases
- For each use case and available product design,
- provide solution or scope of the data science capabilities
- List attributes needed in each of the product design screens
- List use cases are driven by the data
- For each data-driven use cases
a. Research and design the data science solution
b. List needed data
c. List process
d. List models
e. List solution
- Help product design team with data science use cases
- Help product design team with data science solutions for each use case
Deliverables
Statement of Work (SoW) with a solution documentation
- Data science use cases document
- Data science solution for each use cases document
- Data Science methodology, algorithms needed, models, recommended and more in a good documentation
Tools used
- Google docs
- Microsoft word
- Draw.io
- Excel
- Google Draw
Language/techniques
Python- Flask
Models used
- K-Nearest Neighbours
- K-Means Clustering
- NLTK
- DeepAvlov
- Spacy
- Texttiling
- Eclat
- LSTM
Skills used
- Aptitude for functionalities
- Problem-solving
- Communication
- Data Modelling
- Data Pipelining
- MLOps
- NLP
- Recommender systems
Databases used
Amazon S3
Web Cloud Servers used
AWS EC2
Business Impact
- Collaboration with the client to identify the scope and use cases for the platform
- Cost Effective approach taken to document solutions
- Regressive R&D to find and document third-party solutions for certain use cases- saving cost and time.
Project Snapshots
Contact Details
Here are my contact details:
Email: ajay@blackcoffer.com
Skype: asbidyarthy
WhatsApp: +91 9717367468
Telegram: @asbidyarthy
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