SQL
SUVINDU CHINNAM
Data Science And Data Analytics
Tokyo
Summary
Dedicated Data Science professional with history of meeting company goals utilizing consistent and organized practices in Data Science, Data Analytics and Data Engineering. Adept in working with engineers and project managers at multiple levels to utilize data effectively and achieve optimal results. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand.
Overview
5
5
years of professional experience
4
4
years of post-secondary education
Work History
Section Manager, Data Science Section
Rakuten Mobile Japan
Tokyo
02.2022 - Current
- Actively working with complete Data Science Lifecycle consisting of Data Collection, EDA,Feature Engineering, Model Training/Validation, Model Deployment, Model Monitoring and Dashboard Creation to deliver best possible solution for different business use cases.
- Leading and developing team of Data Analysts and Data Scientists while partnering with internal stakeholders across teams, gathering requirements and delivering solutions
- Churn Prediction Project - Developed Model (LGBM) to predict churn before it happens allowing businesses to take proactive actions to keep existing customers from churning. Reduced overall Churn Rate by 20%.
- Customer Acquisition Tool - Built effective tool based on customer segmentation for businesses to do targeted marketing. Companies in ecosystem are acquiring 5% - 15% more subscribers each month by leveraging tool.
- Energy Savings Module - Delivered Energy Savings Feature to optimize energy consumption in low utilized nodes to enhance green presence of company and to save on operational costs by 15%.
- Subscriber Monitoring Tool - Building an end to end monitoring tool using time series and classification models to improve user service quality to promote customer loyalty, CLV and enhance operations efficiency.
Data Scientist
Rakuten Mobile Japan
Tokyo
07.2019 - 02.2022
- Delivered multiple projects involving processing of huge datasets consisting of billions of rows per day and strategizing for business problems using Data Science and Data Analytics.
- Network Outage Impact Prediction Project: Designed end to end solution to predict and detect impacted users in events like network congestion or degradation using traffic patterns, subscriber behavior and associated mobility. Tool has been used for over 300 incidents and saved 70% man power for results.
- Sentiment Analysis: Built twitter text classification tool that analyses a tweet and tells whether the underlying sentiment is positive, negative or neutral. Features include sentiment classification, category classification and tweet summarization.
- Proactive Femto Recommendation Project : Developed and Integrated Smart Recommendation Engine for LTE Home eNodeB (FEMTO) small cell by predicting customers who are likely to experience coverage gaps. Improved customer experience of 10% of subscriber base.
- Automatic NR-ANR Project : Built ensemble model using Decision Tree Classification and Support Vector Classification for 5G Automatic Neighbor Relation Model to improve 5G coverage of users and for network optimization.
Deputy Manager
Vodafone Idea Limited
Mumbai
05.2017 - 04.2019
- Managed team of 10 technical engineers to deliver monthly business targets and last mile solutions for enterprise customers. Handled Enterprise Customers in designing End to End Network Solutions.
- Developed Automation using MATLAB for proposing possible transport solutions to minimize revenue loss and to increase Spectral Efficiency in network through analyzing outages caused due to fiber cuts and scheduled maintenance.
- Drove campaigns in distribution centers and functional changes at few retail stores to improve the efficiency in generating revenue for the distribution centers and also net promoter score of the individual stores.
Education
Bachelors of Technology - Chemical Engineering
IIT Madras
India 08.2013 - 07.2017
Skills
Statistical analysis
Timeline
Section Manager, Data Science Section
Rakuten Mobile Japan
02.2022 - Current
Data Scientist
Rakuten Mobile Japan
07.2019 - 02.2022
Deputy Manager
Vodafone Idea Limited
05.2017 - 04.2019
Bachelors of Technology - Chemical Engineering
IIT Madras
08.2013 - 07.2017
Software
Python
Spark
C
Java
Microsoft Excel
Coursework
- SQL Bootcamp - Udemy
- Getting Started with AWS Machine Learning - Coursera
- Python Bootcamp - Udemy
- Six Sigma Green Belt (+Excel Application) - Udemy
- Machine Learning by Stanford University (Ongoing) - Coursera
- Tableau 2020 A-Z: Hands-On Tableau Training for Data Science (Ongoing) - Udemy
Patents
- Smart Recommendation of LTE Home eNodeB (FEMTO). JP2020-154086, filed 2020/09/14.
- Predicting Impact of Cellular Network Outages on Subscribers. US63/151,571, filed 2021/2/19.
- Smart detection & Addition of NR Neighbor Relations in 5G-NR ENDC. US17/542,242 , filed 2021/12/03.
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