Market Segmentation Analysis - Feynn Labs Internship

Team members

Name	GitHub repo link
Adhiban Siddarth
Karakavalasa venkata pranay
Malay Vyas
Shreyash Banduji Chacharkar
Yash Mayur

Study

10 days study period (Aug 15 - Aug 24)

Market Segmentation steps

1. Deciding (not) to Segment
2. Specifying the Ideal Target Segment
3. Collecting Data
4. Exploring Data
5. Extracting Segments
6. Profiling Segments
7. Describing Segments
8. Selecting (the) Target Segment(s)
9. Customising the Marketing Mix

Steps splitup

flowchart LR

A([Adhiban])
K([pranay])
M([Malay])
S([Shreyash])
Y([Yash])

S4[4. Exploring Data]
S5[5. Extracting Segments]
S6[6. Profiling Segments]
S7[7. Describing Segments]
S8[8. Selecting the Target Segments]
S9[9. Customising the Marketing Mix]

S--7.4 - 7.6-->S5
A-->S4
K--7.1 - 7.3-->S5
Y-->S6
S-->S7
M-->S8
A-->S9

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Files

• Summarizing the assigned steps
• Python code practice of entire case study

Schedule

Date	What to do
Aug 15 - Aug 19	Summarizing the steps
Aug 19	Upload Summary in GitHub
Aug 20 - Aug 23	McDonalds Case Study
Aug23	Upload McDonalds Case Study in GitHub and Meeting
Aug 23 - Aug 25	I will make submission report from our summaries and codes
Aug 25	Report submission date

Team members info

• Adhiban Siddarth
  • 7708026443
  • [email protected] | LinkedIn | GitHub
  • Skills:
    • Statistics | Probability | Calculus | Linear Algebra | Convex Optimization | High Dimensional Geometry | Mathematical Series | Numpy | Pandas | Matplotlib | Scikit Learn | Tensorflow | NLTK | Anaconda | Jupyter Notebook | Pycharm | Google Collab Python | Data Collection (Googling) | Exploratory Data Analysis (EDA) | Data Pre-processing | Feature Transformation | Feature Selection | Model Building from Scratch | Model Tuning | Hyper-parameter tuning
• Karakavalasa venkata pranay
  • 8374035709
  • [email protected] | LinkedIn | GitHub
  • Skills:
    • Statistics | Calculus | Linear Algebra | Mathematical Series | Numpy | Pandas | Matplotlib | Scikit Learn | Jupyter Notebook | Google Collab | Python | Exploratory Data Analysis (EDA) | Data Pre-processing
• Malay Vyas
  • 7778029983
  • [email protected] | LinkedIn | GitHub | YouTube
  • Skills:
    • Calculus | Linear Algebra | Mathematical Series | Numpy;Pandas | Matplotlib | Scikit Learn | Tensorflow | Anaconda | Jupyter Notebook | Pycharm | Google Collab | Python | Data Collection (Googling) | Exploratory Data Analysis (EDA) | Data Pre-processing | Feature Transformation | Feature Selection | Model Building from Scratch
• Shreyash Banduji Chacharkar
  • 7385228663
  • [email protected] | LinkedIn | GitHub
  • Skills:
    • Statistics | Probability | Calculus | Linear Algebra | Mathematical Series | Numpy | Pandas | Matplotlib | Scikit Learn | NLTK | Anaconda | Jupyter Notebook | Spyder | Pycharm | Google Collab | Python | Data Collection (Googling) | Exploratory Data Analysis (EDA) | Data Pre-processing | Feature Transformation | Feature Selection | Model Building from Scratch | Model Tuning | Hyper-parameter tuning
• Yash Mayur
  • 9503546080
  • [email protected] | LinkedIn | YouTube | GitHub
  • Skills:
    • Statistics | Probability | Calculus | Linear Algebra | Convex Optimization | High Dimensional Geometry | Mathematical Series | Numpy | Pandas | Matplotlib | Scikit Learn | Tensorflow | Pytorch | NLTK | Anaconda | Jupyter Notebook | Pycharm | Google Collab | Python | Data Collection (Googling) | Exploratory Data Analysis (EDA) | Data Pre-processing | Feature Transformation | Feature Selection | Model Building from Scratch | Model Tuning | Hyper-parameter tuning