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Sumanshu Arora Email & Phone Number

Senior Data Scientist at Suncorp Group
Location: Kellyville, New South Wales, Australia 13 work roles 1 school
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Current company
Role
Senior Data Scientist
Location
Kellyville, New South Wales, Australia
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Sumanshu Arora is listed as Senior Data Scientist at Suncorp Group, a with 13260 employees, based in Kellyville, New South Wales, Australia. AeroLeads shows a matched LinkedIn profile for Sumanshu Arora.

Sumanshu Arora previously worked as Senior Data Scientist | Credit Risk at Zip Co and Founder at Petnotch. Sumanshu Arora holds B.Tech, It, 7.68 from Lovely Professional University.

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About Sumanshu Arora

Summary:I'm a passionate data science leader with over 13 years of "Everything Data" experience, driving business impact through actionable insights. I bring a unique blend of technical depth (engineering, data engineering, data architecture) and leadership skills to cultivate strong, high-performing data science teams. Highlights:* Successfully implemented robust data science practices, including experimentation tools, deployment pipelines, CI/CD, and feature management (mention specific role/company if possible).* Proven ability to mentor and inspire data scientists, fostering a collaborative environment focused on innovation. * Adept at managing projects from inception to completion, ensuring adherence to security, automation, and industry standards.Aspiration: Mid-management data science opportunities to leverage my leadership skills alongside technical expertise and propel organizational success.Why You Should Connect:* I'm a highly motivated leader with a relentless passion for growth and a thirst for emerging technologies.* Let's connect to discuss how my "Everything Data" expertise and leadership can fuel your organization's data-driven future.

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Suncorp Group
Suncorp Group
Senior Data Scientist
Kellyville, NSW, AU
Employees
13260
AeroLeads page
13 roles

Sumanshu Arora work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist | Credit Risk

Current

Sydney, New South Wales, Australia

Driving Zip's credit risk data strategy to align with organizational goals of achieving profitable growth. Responsible for overseeing arrears management, tracking write-offs, and conducting data-driven experiments to optimize long-term strategic initiatives.

Jan 2023 - Present

Founder

Current

Sydney, New South Wales, Australia

Feb 2022 - Present

Lead Data Scientist

Sydney, New South Wales, Australia

As the leader of a dynamic team of 6 data scientists at Foxtel, I drive the utilization of data science capabilities to maximize ROI on marketing campaigns and empower Foxtel Resi and Foxtel Now businesses to make informed data-driven decisions.Key Contributions and Projects:1. Data Science Process Maturity Upgrade:Initiated and spearheaded a comprehensive review of existing data science processes, encompassing model development, continuous integration (CI), and experimentation. Identified areas for improvement and proposed strategic enhancements, resulting in the implementation of several recommendations. These improvements have elevated the team's efficiency and effectiveness, while additional enhancements remain in the pipeline for further optimization.2. Winback Model:Led the design, development, and deployment of a sophisticated winback model that accurately predicts the propensity of customers to return within the next 6 months after lapsing between T-18 and T-6. Overcoming the challenge of low winback rates and incorporating data from multiple time periods, this model achieved a significant uplift with a 2.6 times improvement in the top two ventils. This powerful predictive tool enables targeted winback strategies and drives customer retention effortlessly In addition to these achievements, I provide strategic leadership, mentorship, and guidance to the data science team. By fostering a collaborative environment and leveraging my expertise in data analysis, machine learning, and marketing analytics, I continuously drive innovative solutions that optimize marketing initiatives and facilitate data-driven decision-making processes.

Nov 2021 - Jul 2022

Data Science Freelancer | Machine Learning | Data Analysis

Self-Employed

Sydney, New South Wales, Australia

I am a highly skilled and experienced data scientist specializing in machine learning and data analysis. With a passion for extracting insights from complex data sets, I offer freelance services to help businesses make data-driven decisions and solve challenging problems.Key Skills:- Data Science: Proficient in applying statistical analysis, predictive modeling, and machine learning algorithms to extract valuable insights from structured and unstructured data.- Machine Learning: Extensive knowledge of developing and implementing machine learning models to solve real-world problems, including classification, regression, clustering, and recommendation systems.- Data Visualization: Expertise in creating visually appealing and interactive data visualizations using tools like Tableau or Python libraries such as Matplotlib and Seaborn.- Data Cleaning and Preprocessing: Proficient in data cleaning, feature engineering, and data preprocessing techniques to ensure high-quality and reliable data for analysis.- Programming: Strong coding skills in Python, R, and SQL for data manipulation, analysis, and model development.- Statistical Analysis: Sound understanding of statistical concepts and techniques to draw meaningful conclusions from data.Services Offered:- Customized Machine Learning Models: Develop tailored machine learning models to solve specific business problems, such as customer segmentation, demand forecasting, or fraud detection.- Data Analysis and Visualization: Analyze complex data sets, identify patterns and trends, and create visually engaging reports and dashboards to present insights to stakeholders.- Predictive Modeling: Build predictive models to forecast outcomes, optimize marketing campaigns, or make data-driven recommendations for business strategies.- Data Cleaning and Preparation: Cleanse and preprocess data to ensure accuracy, completeness, and consistency, enabling robust analysis and modeling.

Jul 2019 - Jun 2022

Senior Data Scientist

Anz

Sydney, Australia

I utilise he power of Machine Learning and Artificial Intelligence to automate manual processes in operation which in turn benefits customers in terms of saving time and cost along with reducing complexities around tedious processes. The data that we work with is mostly unstructured like texts and images etc.This role allows me to solve Machine Learning problems that are both complex and unique and hence provides me opportunity to use many different ML techniques including Text Classification, Entity Extraction models, NLP, Image Processing, Object Detection, OCR etc. Technical skills that i have improved on while being in this role are - Python, AWS, Google Cloud Platform, Django, Docker, Jenkins, Codefresh, CICD & Openshift .I am involved in end to end delivery of project starting from requirement understanding to solution design to implementation followed by deployment & maintenance.Key Contributions and Projects:Machine Learning Framework:Architected and developed a scalable machine learning framework based on a microservice architecture. This framework enables seamless integration of new ML pipelines while facilitating easy comparison against existing models. By leveraging this framework, the bank can optimize costs by paying only for the best-performing services, ensuring that customers always receive results based on historical accuracy.Entity Extraction from Unstructured Documents:Engineered a robust deep learning Named Entity Recognition (NER) model framework in PyTorch, capable of learning domain-specific entities. Leveraging the combined power of Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Conditional Random Fields (CRF), this hybrid model achieves high-quality predictions. Model evaluation metrics demonstrated over 80% F1 score on two distinct domain-specific problems, enhancing the bank's ability to extract valuable information from unstructured documents effectively.

Jul 2019 - Nov 2021

Analyst

Sydney, Australia

My role with Westpac was quite interesting as i supported different teams including data science, customer analytics, product analytics and marketing analytics with their non-BAU data science projects and this in turn helped me grow knowledge and skills in different banking verticals including Everyday banking, Mortgages, Product Migration, Remediation and others. I had delivered some high quality projects in this role and proved my technical & business skills in a just couple of months which got me employee of the month of award two times. Having worked in 4 teams in a span of less than an year, this role has taught me flexibility and how to quickly adapt to changes without hampering the quality of delivery.

Jul 2018 - Jul 2019

Manager - Analytics

Rbs

Gurgaon

Worked with Remediation Strategy analytics team wherein i was responsible for managing analytics and data science projects end to end. I worked on different projects that may help in increasing benefit value for the bank, developing our people or improve our remediation processes. Technical skills that i use in this role are SAS, Teradata, SQL, SAS Visual Analytics, Text Mining and Hive (Hadoop). Analytics and Data Science techniques that i used of some recent projects are Data Mining, Text Mining, Statistical Modeling and Prescriptive Analytics.

Jun 2017 - Jan 2018

Analytics Manager

Rbs

Gurgaon, Haryana, India

Analytics in credit risk vertical of banking domain.Responsibilities -  Providing data insights and perform statistical analysis on the data to support strategy planning team. Data analysis for collection and recovery strategies Ad-hoc and control reporting  Basic statistical analysis on banking data Analysis and debugging on incidents Creating dashboards for new strategies and processes

Sep 2015 - Jun 2017

Senior Analyst

Rbs

Gurgaon

Analytics in credit risk vertical of banking domain.Responsibilities -  Providing data insights and perform statistical analysis on the data to support strategy planning team. Data analysis for collection and recovery strategies Ad-hoc and control reporting  Basic statistical analysis on banking data Analysis and debugging on incidents Creating dashboards for new strategies and processes

Aug 2014 - Sep 2015

Functional System Analyst

Gurgaon, India

My role requires SAS coding, SAS reporting, SAS analytics in retirement and helthcare domain. The skills that are required and i have developed under this role are SAS, SQL, DB2 and most important is a logical and problem solving approach.

Oct 2013 - Apr 2014

Sr. Associate

Aon

Gurgaon, Haryana, India

Oct 2012 - Sep 2013

Associate

Aon

Gurgaon, Haryana, India

Jun 2011 - Sep 2012
Team & coworkers

Colleagues at Suncorp Group

Other employees you can reach at suncorpgroup.com.au. View company contacts for 13260 employees →

1 education record

Sumanshu Arora education

FAQ

Frequently asked questions about Sumanshu Arora

Quick answers generated from the profile data available on this page.

What company does Sumanshu Arora work for?

Sumanshu Arora works for Suncorp Group.

What is Sumanshu Arora's role at Suncorp Group?

Sumanshu Arora is listed as Senior Data Scientist at Suncorp Group.

Where is Sumanshu Arora based?

Sumanshu Arora is based in Kellyville, New South Wales, Australia while working with Suncorp Group.

What companies has Sumanshu Arora worked for?

Sumanshu Arora has worked for Suncorp Group, Zip Co, Petnotch, Foxtel Group, and Self-Employed.

Who are Sumanshu Arora's colleagues at Suncorp Group?

Sumanshu Arora's colleagues at Suncorp Group include Angela Mccarthy, Peter Wilson, Lexie Lewington, Libby Nordlof, and Melanie Tanasiciuc.

How can I contact Sumanshu Arora?

You can use AeroLeads to view verified contact signals for Sumanshu Arora at Suncorp Group, including work email, phone, and LinkedIn data when available.

What schools did Sumanshu Arora attend?

Sumanshu Arora holds B.Tech, It, 7.68 from Lovely Professional University.

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