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Life Insurance Python

Location:
Mumbai, Maharashtra, India
Posted:
December 01, 2020

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Resume:

SHIVAM MISHRA +91-800******* adh9i4@r.postjobfree.com https://www.linkedin.com/in/shivam-mishra-a03815185/

( I am a writer On Medium) https://medium.com/@shivamrkom

EDUCATION

VEER NARMAD SOUTH GUJARAT UNIVERSITY

MS in Applied Statistics (2018-2020)

VEER NARMAD SOUTH GUJARAT UNIVERSITY

B.sc in Mathematics (2016-2018)

TECHNICAL SKILLS

Programming Languages :- Python, R, SQL, MATLAB, C

Analytical Tools :- Tableau, Power BI

Statistical Software :- SPSS, SYSTAT, EViews, Gretl

Database :- RDBMS, Basics of NOSQL

Machine Learning:- Linear Regression, Logistic Regression, KNN, Decision Tree, K-means clustering, DBSCAN, Naïve Bayes, Random forest, AdaBoost, XGBOOST, ANN etc.

CERTIFICATES AND EXTRA CURRICULAR ACTIVATIES

•Data science Bootcamp 2020, Udemy (2020)

•Time Series Analysis and forcasting using Python,Udemy (2020)

•Machine Learning By Andrew NG,Coursera (2020)

•Won the District level 11- Quiz Competition Programme, Organized under the NATIONAL RURAL 11- QUIZ – 2014, Sponsored by GUJARAT COUNCIL ON SCIENCE & TECHNOLOGY (GUJCOST).

•Attend the Boot Camp on STARTUP AND INNOVATION TO PROMOTE NEW INDIA ENTREPRENEUR, Organized by SSIP &SEC IN VEER NARMAD SOUTH GUJARAT UNIVERSITY(2019).

•Won the 1st Prize in ELOCUTION COMPETITION at DEPARTMENT OF STATISTICS in VNSGU(2019)

ACADEMIC PROJECT

Flight Price Prediction (2020)

Collected a Secondary data from Kaggle

Advance Regression Technique like Random Forest Regressor, Gradient Boost

Programming language like Python

https://github.com/shivam2186/Flight-price-Prediction

Statistical Analysis on Life Insurance Policy (2019)

•Collected a primary data by the use of GOOGLE DOCS

•Statistical Techniques like Data Descriptive, Chi-Square, Mann Whitney Test and Spearman Rank Test.

•Software like SPSS, SYSTAT, ADVANCE EXCEL

Statistical Analysis on Gross National Income and Related Aggregates (2020)

•Collected a Secondary Data from MOSPHI

•Statistical Techniques like Time series analysis, parametric and non-parametric test

•Software like R PROGRAMMING, SPSS, SYSTAT, EVIEWS,GRETL, and MS OFFICE

House price Prediction (2020)

•Collected a Secondary data from Kaggle

•Advance Regression Technique like XGBOOST,SVR

•Programming language like Python.

Data Analysis on IPL using Python (2020)

Experience

•Two years of Teaching experience in CASE EDUCATION, Kadodara (2018 to 2020) as a

Teacher of Mathematics and English.

• One year of Management experience in CASE EDUCATION, Kadodara.



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