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Machine Learning, Data Analytics & Visualization, Data Storytelling

Murugeshpalya, Karnataka, India
3.6 - 4.8 LPA
December 16, 2019

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October **, ****



St. Joseph's College Autonomous

Bangalore University

Bangalore, Karnataka

Completed, September 2019

Marks 84 %

Division I

CHRIST (Deemed to be University)

Bangalore, Karnataka

Completed, May 2017

Marks 8.64 [CGPA]

Division I

November 2018 - March 2019

Data Analyst - Machine Learning Engineer

A big data analytics aspirant graduated with a master's degree (2017 - 2019) for the same from St.Joseph's College (Autonomous), Bangalore. A former intern at TCS. I've been in the field of computer science, mathematics & statistics for over five years, currently focusing on big data analytics and machine learning. As an analytics consultant, presenting to an audience is what I do best. I never keep things confined to the traditional ways for I always manage to mesmerize my audience, keeping them at the edge of their seats with my creativity. Just give me your data and I'll unfold your destiny. With regard to programming, I've worked on python and R, and with a mindset of adapting to newly emerging technologies in the market. Master of Science, Big Data Analytics

Bachelor of Science, Computer Science, Mathematics and Statistics Associate Business

Tata Consultancy Services

Bangalore, Karnataka

Interning at TCS was my very first hands-on industry experience and was indeed a great one! Here is what I did -

A proof of concept on QlikSense.

Visualized data pertaining to Revenue and Cost.

Automated the whole process of transferring data from the file system to the database and finally into QlikSense. (Something that wasn't part of the project requirements) Presented a ton of insights and a glimpse into future enhancements. About Me



Certificate of appreciation - Archdiocesan Board of Education - 2019 Application of machine learning on large datasets - Workshop (Certificate of Appreciation - St. Joseph's College) - 2018

The role of statistical packages in academics and industry - (National Level Symposium) - 2017 Certificate of Merit - Second - Softex (National level intercollegiate project exhibition.) - 2017 Data Analytics

Data Visualization

Data Storytelling

Machine Learning







Development Tools






Drawing and Painting

Project 1 Used Car Price Prediction

Period: June 2019 - July 2019

Data Analysis with Python, IBM, 2019

Data Visualization with Python, IBM, 2019

Digital Analytics and Regression - R, IBM, 2019

Machine Learning with Python, IBM, 2019

Machine Learning with R, IBM, 2019

Python for Data Science, IBM, 2019

Python Study ( I - V ), Progate, 2018

Machine Learning (Stanford University), Coursera, 2019 English






Project Summary

A project on machine learning, to estimate the price of used cars. Training and Certifications

Awards & Honors


Engineering Skills




Project 2 Digital Marketing Analytics

Period: July 2019 - July 2019

Project 3 A Proof of Concept on Qlik Sense and the automation of traditional dashboards Period: November 2018 - March 2019

Team Size: 2

Project 4 Pricing Analytics

Period: June 2018 - October 2018

Team Size: 5

Project 5 New York Taxi Fare Prediction

Period: January 2018 - January 2018

Project 6 Telecom Churn Analytics

Period: December 2017 - December 2017

Project 7 Portuguese Bank Marketing

Period: November 2017 - November 2017

Project 8 US Arrests - Principal Component Analysis Period: October 2018 - October 2018

Project 9 Clustering of similar patients diagnosed with depression Period: June 2018 - June 2018

Project Summary

To determine which of the two search terms 'Analytics' or 'Data Science' would target the right audience in the promotion of a product using Google trends data.

Project Summary

Developing and automating the data visualization process using Qlik Sense and Python. Project Summary

Online eCommerce site: Vohaze - Strategic way of pricing for a demand input on travel equipment. Built on Flask using Python.

Project Summary

A project on machine learning, to predict the fare amount (inclusive of tolls) for a taxi ride in New York City given the pickup and drop off locations

Project Summary

A project on machine learning, to predict potential customers who are prone to churning. Project Summary

A project on machine learning, to predict if a customer is likely to subscribe to a term deposit. Project Summary

This dataset contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 states in the U.S. The states were categorized as per crime rate and the dimensions were reduced using the Principal Component Analysis.

Project Summary

The data used for this study is from the Ginzberg data frame which is based on psychiatric patients hospitalized for depression. Implemented using R. K-means clustering was performed to cluster similar patents.

Project 10 Cooksta (Hygienic Home Food Ordering Android Application) Period: January 2017 - March 2017

Team Size: 3

Technologies: Android Studio

Birthday: October 21, 1995

Gender: Male

Marital Status: Single

Nationality: India

Address: K.R Garden, 4th main, Murugeshpalya

Bangalore - 560017, Karnataka

Project Summary

Android application – (Hygienic home food ordering android application) – First of its kind – Helped us achieve the second place for Christ (Deemed to be University) intercollegiate Computer Science fest, 2016. (Under Graduate Level)

Personal Details

Dr. Srinivas Bhogle

Honorary Scientist

CSIR Fourth Paradigm Institute




Mr. Puneeth G N

Big Data Product Engineer





Bonney Varghese

Bangalore, Karnataka



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