Now you can Instantly Chat with Abdul !
A proactive and quick learner seeking a full time opportunity to work on challenging Data science projects utilizing
professional and analytical skills. I have well versed knowledge in Python, Machine learning,Tableau,Data visualisation librar...
Data & Analytics
DATA SCIENCE PROJECT
SELECTED PROJECTS IN DATA SCIENCE :
1.Gained insights related to NYC Flight Data from airlines dataset
- The data provided information on the departure and arrival delays on several flights.
- Did the EDA of the data before building the model.
- Found insights on flight delays based on their departure & arrival on a monthly basis and carrier wise
2. Gained insights from Facebook dataset
- Data Set comprised of several aspects related to Facebook usage.
- Found Insights on age group that visited FB often, age group having more friends/more likes, Usage from mobile/web, relation between frequent usage and making friends, analysis on Likes
3. Gained insights related to cars from automobile dataset.
- Data provided information about various models of cars and their attributes.
- Found insights on type of cars preferred, factors impacting the price and mileage.
DATA SCIENCE PROJECT II
SELECTED PROJECTS IN DATA SCIENCE II :
4.Gained insights related to lending data from Lendingclub.com
- The data provided information on the money borrowed from the investors, purpose, borrower's FICO score,
public records, annual income etc.,
- Found insights on whether the borrower was able to pay the money fully or not
- Built a ML model to predict on whom should the money be invested, whether the borrower will be able to
return the money
5.Gained insights related to advertising data from Advertising dataset
- The data provided information on the user's income, age, time spent on internet, ad topic line
- Found insights on which age group, income group clicked on the Ad based on their time spent and internet
- Built a ML model to predict whether or not they will click on an ad based off the features of that user.
6.Gained insights related to eCommerce clothing company from the eCommerce customers dataset
-The data provided information on the customer's avg. session length, time spent on app and website, length
of membership, yearly amount spent.
- Found insights on customers yearly spends on the basis of length of membership, avg. session time on the
app and website
- Built a ML model to predict whether the company should focus more on the app development or website
ToolsJupyter Notebook NumPy