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Data Scientist

Location:
Mumbai, Maharashtra, India
Posted:
November 09, 2020

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Resume:

Projects

Directing Customers to Subscription Through

App Behavior Analysis.

Accomplished a 77% mean accuracy as measured with

K-Fold Cross Validation by applying a Classification based Logistic Regression algorithm.

Applied Data Mining & Feature Engineering methods to extract advanced information from the data using Numpy and Pandas.

Using this model, companies can narrow their marketing efforts only to those users ‘unlikely’ to subscribe, thus increasing their subscription rate attracting unlikely users with irresistible long-term offers.

Python

Machine Learning

R

Tableau

SQL

Math & Statistics

Hard Skills

+91-887*******

adhn0v@r.postjobfree.com

www.github.com/meetshah02

https://www.linkedin.com/in/

meet-shah-309642136/

Mumbai, IN

Profile

An entry-level IBM certified data

scientist who takes pride in visualizing

and building models that translate data

points into business insights. Leveraged

my skills in making projects and

presentations, now eager to apply the

same knowledge to real-world business

problems helping companies increase

their investment returns.

Including the mentioned Projects and

Certifications, additional ones can be

found on my GitHub and LinkedIn

accounts respectively.

Predicting the Likelihood of E-Signing a Loan

Based on Financial History.

Achieved a 64% accuracy with Parameter Tuning to identify quality applicants using an Ensemble Technique like Random Forest algorithm.

Companies can leverage this model to provide a Specialized onboarding experience to non-quality applicants

encouraging them to complete the E-Signing process. Shree L R Tiwari College of Engineering

Bachelor of Electronics and Telecommunication Engg. 2016

Reading

Travelling

Fitness

Technology

Men's Grooming

Movies & Series

Cooking

Music

Interests

Education

M

-

S

Meet

Shah

E N T R Y - L E V E L

D A T A S C I E N T I S T

Breast Cancer Prediction.

Successfully classified a tumor into 'Malignant or Benign' with a 98% accuracy as measured by using Support Vector Machine(Classifier) algorithm after Parameter Tuning. This model can be leveraged in Healthcare Industry resulting in early detection of a malignant tumor giving high cure rates. Soft Skills

Communication

Domain Knowledge

Creativity

Prioritization

Presentation

Proactive

Shah and Anchor Kutchhi Polytechnic 2012

Diploma in Electronics and Telecommunication Engg. Certifications

IBM Data Science Professional Specialization - Coursera Machine Learning A to Z - Udemy

Statistics for Data Science & Business Analytics - Udemy Visualization with Tableau - University Of California - Coursera Applied Data Science Capstone Project - Coursera



Contact this candidate