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Python, Machine Learning, Microsoft Azure, R

Location:
Kundanahalli, Karnataka, India
Posted:
November 08, 2019

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Resume:

CURRICULUM VITAE

SUMMARY

Computer Science, Post graduate seeking to leverage data analytical skills to improve corporate performance as a data analyst. Held Certification in Data Science with Python, R and Microsoft Azure.

Love learning new technologies with a keen interest in Data Science domain.

SKILLS

Programming Languages: R, Python

Machine Learning Techniques: Regression, Random Forest, Naive Bayes Classification, k- Nearest Neighbor Classification, k- Means Clustering

Cloud Solution: Microsoft Azure

EDUCATION

Institute of Technical Education and Research, SOA University, Bhubaneswar

Master of Technology in Computer Science & Engineering, 2015-2017

Institute of Technical Education and Research, SOA University, Bhubaneswar

Bachelor of Technology in Computer Science & Engineering, 2011-2015

Institute of Higher Secondary Education, SOA University, Bhubaneswar

CHSE, 2009-2011

D.A.V Public School Unit-8, Bhubaneswar

10th, 2009

PROJECT

Title: Loan Prediction Problem

Language: Python

Version: 3.5

Platform: Windows 8

Environment: Anaconda Distribution

Description:

•Used pandas, matplotlib and seaborn libraries from python to extract insights from the data and scikit-learn libraries from machine learning.

•Tuned the parameters using cross validation technique for Random Forest machine learning model and at the end predicted whether the applicant can be approved of loan or not.

CERTIFICATIONS

Certification in Python Intellipaat, 2018

Certification in Data Science Training Intellipaat, 2019

Certification in Microsoft Azure Besant Technologies, 2019

PERSONAL DETAILS

Father’s Name : Mr. Mitra Ranjan Panda

Mother’s Name : Mrs. Bhakti Priya Satpathy

Date of Birth : 20th October 1993

Language Known : English, Hindi, and Odia

Dibyasha Panda

Dibyasha Panda

M.Tech (Computer Science and Engineering)

Contact no: 091********

Alternate no.: 094********

Mail id: ****************@*****.***



Contact this candidate