MaramReddy. Rama Krishna Reddy

Role: Data analyst Intern Mob: +91-767*******

E-mail id: adaz2h@r.postjobfree.com

Gender: Male.

DOB: 5thJune 1998

Career Objective

Seeking for an Internship in organization where my strong analytical skills will be utilized and Looking forward to expand my skills and knowledge. Well known for being a hands-on energetic person with high-performing energy to handle any task given. Passionate about work, hardworking and supporting company and customer needs in all possible ways.

Summary

Completed BE(CSE) in REVA UNIVERSITY.

Successfully completed training on Data Science specialization using Python and Data Analytics & Visualization using Excel, SQL and Tableau from Analytixlabs, Bangalore.

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

Also worked on many projects using statistical methods and analytics techniques like Linear Regression, Logistic Regression, Segmentation, Forecasting and Machine learning techniques (Decision trees, Ensemble learning (RF, GBM, Adaboost), KNN, SVM, NB etc.

Academics

2019 BE (CSE) from Reva University, Bangalore with 6.17 /10 (CGPA)

2015 12th (MPC) from Sri chaitanya Jr. College, Guntur with 84%

2013 SSC from Oxford high School, Guntur with 9.2/10(CGPA).

Technical Skills

Analytics Tools

Analytics Techniques

Applications

Python, SQL, Excel, Tableau

Basic Statistics (Hypothesis testing, stats methods), Linear Regression, Logistic Regression, Cluster Analysis, Decision Trees and Time Series Analysis

Data Analysis, Reports and Dashboards, Data Preparation, Predictive modeling

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Trainings & Certifications:

I have successfully completed Analytics certifications from ANALYTIXLABS

Data analytics and visualization using Excel, SQL, Tableau from August-2019.

Data Science Specialization using Python from June -2019 to August-2019.

Proficient in Python, Excel, SQL for the data analysis.

As part of the training, worked on multiple projects pertaining to marketing analytics Operation analytics and Risk Analytics using different analytics tools & techniques including machine learning techniques.

Academic Projects

MAJOR PROJECT: Dynamic Object Recognition using Neural networks

Description: In this project we will recognize objects dynamically, and we have trained the model for recognizing the objects, the model uses camera and it will recognize the objects dynamically.

Tools: Linux, Python Algorithms: Naive bayes, Canny edge detection

Recent Projects

Project 1: Laptops Sales Prediction (Data Visualization).

Description: Objective of this project is to define the product strategy and pricing policies that will maximize company projected revenues.

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

Project 2: Sports Equipment Analysis (Data Visualization)

Description: Objective of this project is the Product manager of Sport Equipment Company across the globe wants to analyze combined revenue generated in year 2014 across different countries.

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

Project 3: Banking peer group lending (Identifying the key drivers of interest rates)

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 4: Credit Card Spend (Identifying the key drivers of card spend)

Description: To predict the credit card spend and identifying the key drivers of the card spend which help to define credit limit for new customers & increase it for existing customers.

Analytics Tools: Excel & Python. Analytics Technique: Linear Regression

Project 6: Banking credit risk analytics

Description: To determine whether the applicant is credit worthy or not to attract quality credit applicants to maintain an overall profitable portfolio.

Analytics Tools: Excel & Python Analytics Technique: Classification (Logistic Regression)

Project 7: HR Analytics (Exploratory & Predictive Analytics)

Description: To build retention model and this allows organizations to Identify high-risk employees who are going to attrite, build profiles of those most likely to leave or stay and understand how risk is distributed throughout the organization.

Analytics Tools: Excel & Python Analytics Technique: Classification (Logistic Regression)

Project 8: Customer segmentation for one of the telecom company to define marketing strategy

Description: To divide the customers into Segments to define strategy.

Analytics Tools: Excel & Python Analytics Technique: Segmentation (K-Means clustering)

Project 9: Customer Segmentation for one of leading Credit Card Company

Description: To develop the customer segmentation model to understand the customer behavior and define strategy for marketing.

Analytics Tools: Excel & Python Analytics Technique: Segmentation (K-Means clustering)

Project 10: Tractor sales Forecasting.

Description: To forecast demand to manage tractor sales for the future by using past 10 years data.

Analytics Tools: Excel & Python Analytics Technique: Forecasting (ARIMA)

Project 11: Airport passengers Forecasting.

Description: To forecast number of passengers for the future by using past 10 years data.

Analytics Tools: Excel & Python Analytics Technique: Forecasting (ARIMA)

Awards

Awarded ‘Man of the match’ for best bowling in district level cricket tournament Andhra Pradesh.

Participated in Hackathon conducted by ‘Lucideus’ on cyber security in Reva University.

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