Data Project
Resume:
Reddappa Govindu
Data Scientist
Total *.* years Experience in IT (As a Data scientist with 3.6 years) of experience in managing software projects and data science projects for MNC clients. Well versed with predictive modelling, data processing, and data mining algorithms to solve challenging business problems. Involved in Python open source community and passionate about brining machine learning, deep reinforcement learning to Business. Experience
March’15
- Present
Data Scientist
CGI -Bangalore India
• Fulfilled all data science duties for a high-end capital firm.
• Created and presented models for potential holdings to fund managers. Achieved 20% better returns vs
historical
Apr’11 -
Feb’15
Sr. Developer
CGI– Bangalore India
• Developing and production Supporting for Web
applications using .NET, ASP.net MVC, WEBAPI’s
Academics
July’07 -
June’10
Master of Computer Application (MCA)
S.V.University,Thirupathi.
June’03
July’06
Bsc
S.V.University,Thirupathi.
Certifications and Awards
Aug’18
Certified Data Scientist
Datamites
Udemy
Dec’18
1st Position in National Machine Learning
Hackathon
DataMites – Bangalore, Dec 2018
• Fulfilled all data science duties for a high-end capital management firm.
Events and Conferences
Feb’19
Global Summit on Artificial Intelligence
transforming business
Hosted by IBM, Bangalore
Page 1
Personal Information
********.*******@*****.***
Phone
https://www.linkedin.com/in/r
eddappa-govindu-17274747/
Technical Skills
Python, Numpy, Pandas,
Sklearn
Expert
SQL, Cloud, AWS
Advanced
Data Visualization, Tableau,
Matplotlib, PowerBI
Expert
Machine Learning Modeling
Expert
Statistics, EDA
Expert
Deep Learning, CNN
Intermediate
Soft Skills
Problem Solving, Critical Thinking
Expert
Creative and Interpersonal Skills
Expert
Reddappa Govindu
Data Scientist
Other details
Marital Status:
Married.
Present Address:
#75, Gangotri Layout,
Ayyappanagar, K R Puram,
Bengaluru – 560036.
Permanent Address:
Tanakallu(mandal),
Anantapur(dist),
Andhrapradesh-515571
Projects Annexure
Jan’18 to
Present
Project : Bell.ca
Client: One of the ecommerce application of CGI
Project Description: Bell.ca is an ecommerce enterprise application used by Canadians. It is Shop portal enables Bell Business users to order products and services using online Bell Portal. Enterprise customers will continue to fill out forms to request a call back from Bell.
Bell Lines of Businesses.
Bell Mobility
Bell Satellite/Fib TV
Bell Internet
Bell Home Phone
Govindu Contribution: Govindu is accountable for the project delivery. He worked with client in defining clear business problem and with delivery team in understanding the variables that influencing the customers to migrate to competitors, modelling ML – algorithm XGBOOST, model evaluation and deployment.
March’16
to
Dec’17
Project : OneView
Client: One of the ecommerce application of CGI
Project Description: OneView is a Web based Retail Front End Ordering enterprise application used by Bell retail stores for the Bell Telecommunication products to retrieve customer profile and perform ordering process for the below Bell Lines of Businesses Client of Rubixe is a major banking client in India . The project goal is to calculate customer credit score and, which is then used for asset risk management and risk modelling of the asset portfolio. Govindu’s Contribution: Govindu worked in Machine Learning modelling and evaluation from exploratory data analysis (EDA), feature engineering, model building and evaluation. Customer Enquiry Data contains customer’s historical enquiry data such as enquiry amount and enquiry purpose and Demographics Data contains current customer applications with demographic data. This project required significant data cleaning and transformation. Model is successfully delivered to the client. Deployment is out of the scope. March’15
to
Feb’16
Project : BCE.CA
Client: IT services company in Netherlands, Client of Rubixe Project Description: The Bell Canada Enterprise application
(BCE.CA) is Bell Canada’s Investor website for propagation of financial. Business and regulatory information. It has significant traffic increase 8-12 times a year (Quarterly Results Calls & Events) Govindu’s Contribution: Govindu was involved from initial discussion of this project till the final delivery. Govindu lead the initial data extraction and preparation phase with other other junior colleagues. There was challenges with data, as there were significant wrong entries and human biases were present (about 30%). Akshay used ITSM knowledge with data science technique to transform the data, used XGBOOST to create classifier with 92% accuracy. Project was successfully delivered and deployed at client location. Page 2
Interests
Gardening
Travelling and exploring
Languages
Business English
Expert
Hindi and Kananda
Intermediate
Telugu
Expert
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