Vivek kumar
Mentor
Rising Codementor
US$20.00
For every 15 mins
ABOUT ME
Data is the new oil, and I extract value out of it.
Data is the new oil, and I extract value out of it.
I am a data scientist with a passion for storytelling. During the day, I am usually programming, working to derive insight from large datasets.
My skills include:
- Python
- SQL
- Data visualisation
- Exploratory Data Analysis
- Hypothesis Testing
- Machine learning
I have developed a strong acumen for problem-solving. I often work on end-to-end data science projects that usually begin by collecting data from third-party sources and end with delivering business insight in the form of customer segments.
In order to learn & verify my skillset, I've taken a couple of certification exams & courses like-
- Hackerrank SQL Advanced Certification
- Stanford Online - SQL
- Stanford Online - Statistics
- University of Michigan(Coursera) - Python
- Udemy - Tableau
- Google Data Analytics (Coursera)
Please go through my Portfolio to take a look at my work.
https://sites.google.com/view/vivekdata
New Delhi (+05:30)
Joined May 2024
EXPERTISE
5 years experience
4 years experience
3 years experience
2 years experience
3 years experience
3 years experience
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EMPLOYMENTS
Senior Data scientist
PAYTM
2023-01-01-Present
- Clean, Explore, Analyse data using SQL & Python libraries like Pandas.
- Build Machine learning Models for different business problems....
- Clean, Explore, Analyse data using SQL & Python libraries like Pandas.
- Build Machine learning Models for different business problems.
Major Impacts:
Built ML model to reduce leakages in Install to signup funnel which resulted in 25% Increase in signups & onboard 100 thousand extra customers annually.
Python
SQL
Excel
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Python
SQL
Excel
Pandas
Tableau
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PROJECTS
Customer retention
Inhouse Project
2023
i) Built Long-term & short term retention model using last 6 months of Data. Model was used to predict severity of drop in transaction ac...
i) Built Long-term & short term retention model using last 6 months of Data. Model was used to predict severity of drop in transaction activity & GMV of customers.
ii) pilot was done on 30% customers and a 20% difference was observed
between pilot & control after intervention by marketing team
Python
SQL
Pandas
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Python
SQL
Pandas
Machine Learning
Exploratory Data Analysis
XGBoost
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