Data Analyst Python

G. PRADHYUMN REDDY

Email- ****************@*****.*** +91-949*******

Hyderabad

Career Objective:

A technically qualified Data Analyst & Business Analyst professional with a strong foundation

in Mathematics, Statistics, Machine Learning and Data Mining techniques. Strong expertise

performing on-demand exploratory and targeted data analysis to obtain insights from data and

turn insight into action by creating predictive analytic business solution. Solid expertise in data-

driven analysis and predictive models to solve problems in highly competitive fast paced

environment.

Technical skills/ Areas of expertise:

DOMAIN AREAS OF STRENGTH

STATISTICAL Descriptive Regression Dimension Cluster analysis

ANALYSIS Statistics Based Reduction: One-way

Data Quality Models: linear, Factor ANOVA

Checking Logistic Analysis, MANOVA

Test of hypothesis Model PCA

Diagnostics Model

validation

MACHINE CART&CHAID Text Nave Neural

LEARNING Random Mining

Forest Sentiment Bayes Networks

KNN Clustering

Analysis

STATISTICAL R-studio SAS SPSS Excel

TOOLS R console PYTHON

VISUAL R rattle POWER SAS Tableau

ANALYTICS SAS BI VA

Professional Summary:

Working as Associate Data Analyst since August 2018 (Reachout Analytics Pvt. Ltd.),

Hyderabad.

Project 1: Health Care Risk Body Fat

Project Description:

The purpose of this project is to identify factors which are affecting cholesterol levels

in human body using supervised and unsupervised techniques in order to predict body fat (good

body fat behavior/ bad body fat behavior).

Tools: PYTHON, R, SPSS, Excel, Tableau, SAS

Roles and Responsibilities:

Data cleaning, Data validation techniques and Correlation are applied on Cholesterol

data.

Implementing descriptive statistics and visualization techniques to check the data

normality.

Data Transformation is made on the different combinations of the variable and by

measuring the different parameters.

Identifying co-linearity between independent variables.

Linear Regression is performed and best fit model is prepared.

Project 2: Credit Risk Analysis

Project Description:

The aim of this project is to identify potential business customers by predicting the

defaulters as well as Good and Bad customers. We have used supervised and unsupervised

techniques to come on to the conclusion on the customer behavior to offer credit card.

Tools: PYTHON, R, SPSS, Excel, Tableau, SAS

Roles and Responsibilities:

Analyze, explore data, identify outliers, missing values and data cleaning for processing

descriptive statistics.

Used factor analysis and PCA for grouping of the variables and identify trends and

relationships between different groups of data.

Perform inferential techniques i.e. test of hypothesis, T-test, ANOVA and probability

of significance.

Used predictive data modelling techniques Regression, Classification (Multinomial and

K-means).

Scholastics:

Qualification Year Board/University

B. Tech (CSE) 2014-2018 JNTUH

Class XII 2012-2014 Board of Intermediate

Class X 2012 CBSE

Personal Profile:

Name: G. Pradhyumn Reddy

Date of Birth: 02-10-1996

Gender: Male

Nationality: Indian

Marital Status: Unmarried

Languages Known: English, Telugu, Hindi

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