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Data Project

Location:
Hyderabad, Telangana, India
Salary:
400000
Posted:
December 16, 2019

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Resume:

Name: MAHESHWARA REDDY P

Phone: +91-799*******

Email Id: ada25i@r.postjobfree.com

LinkedIn Id: www.linkedin.com/in/maheshwara-petluru-198096146

SUMMARY

As a Data Science aspirant seeking for an opportunity to utilize the technical and analytical skills in order to help the company to achieve their business goals and improve my exposure while sticking to vision, mission and values.

KEY SKILLS

Python for Data Analysis

MYSQL

Mainframe (Cobol,Jcl,DB2,cics)

Basics of R.

Machine Learning

Supervised Learning : Linear regression, Logistic Regression, Decision trees, Random forests & KNN.

Unsupervised Learning: Clustering techniques.

ACADEMIC PROJECTS

Project 1: Employee Attrition Prediction

Description: The dataset contains 32 features names, considering 1 variable as target and remaining 31 as independent variables. It contains Features like Customer Id, Attrition, gender, annual income, age etc. Applied all possible algorithms to the data and predicted what the reasons behind the employees leaving the company are.

Key skills: Logistic Regression, Naïve-Bayes (Gaussian &Bernoulli), Decision Tree, Random Forest.

Project 2: Adult Earnings

Description: The dataset contains the 14 Features which consist of several predictor variables and one target variable which is salary income. We want to predict the employee salary based on the given features.

Key skills: Linear Regression, Decision Tree, Random Forest Regression

EDUCATIONAL DETAILS

•Graduated from SRM UNIVERSITY, Chennai, Tamilnadu in Electronics and communication Engineering (2017) with an aggregate of 8.12CGPA.

•Completed Intermediate from NRI Academy, Tirupathi, Andhra Pradesh in MPC (2013) with an aggregate of 76.5%.

CERTIFICATIONS

•Amazon Web Services (AWS) certification from Beasant Technologies, Bangalore.

•Data Science certification from Hyderabad School of Artificial Intelligence, Hyderabad.

HACKATHONS/OTHER RELEVANT ACHIEVEMENTS

Participated in the Kaggle competition ‘EduStats (Educational statistics): Observed 79 variables along with the target variable. The Target variable is to predict the final price of each home

Key skills: Random Forest Regression, Linear Regression

WORKING EXPERIENCE

Worked in CAPGEMINI INDIA as Software Analyst from Aug-2017 to Aug-2018.

PROJECT DESCRIPTION

•The client was a bank from Canada known as ROYAL BANK OF CANADA (RBC).

•I was worked for support team where we get incidents or issues regarding offline transactions.

PLACE: HYDERABAD

DATE: MAHESHWARA REDDY.P



Contact this candidate