RESUME

RAVULA SANDEEP Mobile: +91-709*******

Gender: Male. E-mail id: adaw93@r.postjobfree.com

Career Objective

Management graduate from a reputed business school with good hands on experience on analytics tools eagerly looking for an opportunity in the field of analytics and its allied areas. Summary

Currently pursuing final year of PGPM program in Marketing and Finance at IBS Business School, Bangalore.

Successfully completed Certification on Data Analytics & Visualization using Excel, Tableau, MYSQL, SAS and Pursuing Data Science with Python from Analytixlabs, Bangalore.

Have good hands on experience on Analytics tools like SQL, Tableau, Excel, and Python, SAS.

Also worked on many projects using statistical methods and analytics techniques like Linear Regression, Logistic Regression, Segmentation and also currently working on Machine Learning. Academics

2020 PGPM (Marketing and Finance) from IBS Business School, Bangalore with 9.65 /10 (CGPA)

2018 B.com(Computers) from Vikrama Simhapuri University, AP with distinction 8.8/10 (CGPA)

2015 12th (Mathematics and Commerce) from Masterminds Junior College with 85.3%

2013 SSC from Vidyaniketan High School with 53%. Technical Skills

Analytics Tools Analytics Techniques Applications

Python, SQL, SAS,

Excel, Tableau

Descriptive and Inferential Statistics

(Hypothesis testing, stats methods), Linear

Regression, Logistic Regression, Segmentation)

Exploratory Data analysis,

Reports and Dashboards, Data

Cleaning Preparation,

Predictive modeling

Work E

Work Experience

Designation: Marketing Intern. Feb 2019 – May 2019(3 Months) Organization: HDFC Bank Ltd.

Role: Corporate Salary and Marketing Intern

Lead generation and conversion for the banking products and created reports

Organizing campaigns for the new products of the bank and understanding driving factors

Collecting customer satisfaction data about products & created reports Trainings & Certifications:

I have successfully completed Analytics certifications from ANALYTIXLABS, Bangalore.

Data Analytics and Visualization using Excel, SQL, Tableau, SAS from March 2019-May 2019

Data Science Specialization using Python from June 2019- Oct 2019.

As part of the training, worked on multiple projects pertaining to Marketing Analytics Operation Analytics and Risk Analytics using different analytics tools & techniques. Recent Projects on Analytics

Project 1: Laptops Sales Prediction (Data Visualization and Analysis). Description: Objective of this project is to define the product strategy and pricing policies that will maximize company projected revenues.

Analytics Tools: Excel, SQL, Tableau, SAS Analytics Technique: Exploratory Data Analysis & Visualization

Project 2: Airlines Industry (Data Visualization and Analysis). Description: Objective of this project is analyze the busiest hours of the airports and flight delays and recommending possible solutions to increase the operational efficiency of the airports. Analytics Tools: Excel, SQL, SAS, Tableau Analytics Technique: Exploratory Data Analysis & Visualization

Project 3: IT Help Desk Minimizing Resolution Times (Data Visualization and Analysis). Description: Objective of this project is to analyze the factors that drive churn and help business to maximize customer satisfaction.

Analytics Tools: SQL, Tableau, Excel Analytics Technique: Exploratory Data Analysis & Visualization

Project 4: Identifying The Key drivers of Interest Rates (Predictive Modelling). Description: To predict interest rates based on borrowers and loan attributes and identify key drivers of interest rates and create an application to predict interest rate based on given customer and loan attributes.

Analytics Tools: Excel & Python. Analytics Technique: Linear Regression Project 5: Predicting The Drivers of Customer Churn (Predictive Modelling). Description: Objective of this project is to find the churners and also to build a customer scorecard to check the churn probability.

Analytics Tools: Excel, Python Analytics Technique: Logistic Regression Project 6: RFM Segmentation On Retail Data(Segmentation). Description: To help the company with segmenting customers into different groups using RFM segmentation technique on the transactional data of the customers. Analytics Tools: Excel, Python Analytics Technique: RFM Segmentation Awards and Extracurricular Activities

Awarded ‘1st Prize’ for the presentation on “Leveraging Technology in Agriculture” at Krishna Chaitanya Degree College.

Secured Top 20 rankers position with 9.65/10 CGPA at IBS Business School

Working as a Student Ambassador for Analytics India Magazine 2019 at IBS Business School

Data analytics coordinator for the class of 2020.

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