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JOIN INDIA’S 1st BANK-LED DATATHON

The data analytics capabilities at YES BANK enables us to serve our customers and clients with greater depth, sophistication and efficiencies through innovations such as artificial intelligence, machine learning, natural language processing and bots. But, we understand that not all innovation can come from within the bank.

WHY PARTICIPATE?

Face the real-world Challenges
Access curated datasets (anonymized) and design your data models efficiently

Network with the community and have fun
Connect with like-minded data enthusiasts: explore and grow as experts together.

Mentorship
Acces to mentorship by industry experts in the field of Data Science, Big Data, FinTech and other emerging technologies.

Chance to work with YES BANK

Top 10 teams to get a working project with YES BANK to implement their data models

Win Cash Prizes

  • Data Wizard – INR 5 Lakhs (1 Winner)
  • Data Acers – INR 2 Lakhs Each(4 Teams)
  • Data Pros – INR 1 Lakh Each(4 Teams)
  • Data Champs – INR 1 Lakh (1 Student Team)

Unlock Access and Credits

All top 50 teams to get free AWS credits, access to Datagiri meetups and the opportunity to work with Cloudera tools

REWARDS

The top 10 teams will get a chance to implement their solutions at YES BANK

Data Wizard

( 1 Winner)

₹ 5 Lakhs

Data Acers

(4 Teams)

₹ 2 Lakhs Each

Data Pros

(4 Teams)

₹ 1 Lakh each

Data Champs

(1 Student Team)

₹ 1 Lakh

WHO CAN PARTICIPATE?

HOW TO PARTICIPATE?

Step 1: Click here ‘Join the Datathon’ – you will be led to our datathon partner – Skillenza’s page for the YES BANK Datathon

 

Step 2: Click ‘Register’ and enter details required to sign up

 

Step 3: Get your crew together and form a team – we recommend cross-disciplinary teams (max. 4 members) comprising Data Scientist, Big Data Engineer, Coder, Full Stack Developer to register

 

Step 4: Once completed, you will get a confirmation mail from Skillenza. Happy data diving!

ROUNDS & TIMELINES

Datasets & Use Cases

Top 50 teams get access to curated banking data*

  • Service Tickets & Leads
  • Customer Product Holding Data
  • Customer Demographics
  • Point of Sales throughput & Merchant Data
  • Transaction Data
  • Pre-Approved Offers for Customers
  • Delivery datasets & Delivery Auto Logs
  • Account level KPIs

Some of our current areas of interest include but are not limited to:

  • Financial supply Chain: Identifying & classifying the inflow/outflow of transactions to identify potential customers
  • Auto-reminder payment system: predicting the Customer’s next payment transaction
  • Customer product recommendation model

Developing a recommendation model to determine what are the next products and services we should offer to the customer

Sample of actions for Service and Sales

  • Service Request- Cheque Book Issuance, Biller Registrations and Auto pay
  • Sales- Liabilities (SA, TD etc.) and asset products (credit card etc.)
  • Analysis of POS Throughput and merchant data to identify any anomalies in the pattern of usage of POS terminals

Mentors

Rajat Kanwar Gupta

President

Business & Digital Technology
YES BANK

Mathangi Sri

Head Data Science, Phonepe

Gaurav Daftary

Quantitative Analyst
Moody’s Investor Services

Nitin Sareen

Head of Analytics Solutions & Delivery

Aditya Birla Group

Sayan Sen

Head – Data Labs

HDFC Life

Tanuj Taneja

Associate Director

Kvantum Inc.

Vaibhav Gupta

Director, EY

Ajay Ohri

Specialist Platform
SAPIENT AI PRACTICE

Farhat Habib

Director, Data Sciences
Inmobi

Nimilita Chatterjee

Sr. Vice President-Data & Analytics

Equifax

Subhabrata Sinha

Assistant Vice President, Insurance Analytics Genpact

Ananda Rao Ladi

Chief Learning Officer

Edureka

Hindol Basu

CEO, Actify Data Labs

Subrat Panda

Principal Architect, AI Technologies
Capillary Technologies

Subramanian M S

Head of Analytics
bigbasket.com

Ratnakar Pandey

India Head Analytics & Data Science

Saurav Gandhi

Director – Credit Risk and Data analytics – PayU

Mukesh Jain

Vice President & Head – Data Technologies

Capgemini

Biswa Gourav Singh

Lead ML Engineer, Capillary Technologies

VARTUL MITTAL

Technology & Innovation Specialist

Yogesh Joshi

CIO

Kores India

Arpit Agarwal

Associate Director, Data Science Zoomcar

Rohit Pandharkar

Head, Data Science & AI, Mahindra Group

Saurav Kaushik

Data Scientist

Uber

TOP 50 TEAMS

Altered_Carbon Oracle FinanceDataDons DataNinjas 2strat_1Inclnd
Spartan4 Random Icube4analysts TheBeginner QuickSilver
Data_scientist Simpleworksai Thomas_Bayes AI_GLMatrix Artis
Asdfg KRYPTON High_Flyers MesonLabs RSDATA
FakeData2018 Insight Random Reboot_Rebels team_prayaas
Capillary_Tech Earthing_123 DataVirtue Zessta Greenity_Team
reverse_atlas Bacers Sparks24 SegFault DJANGO_UNCHAIND
Zsers Team_Billa Green_Peace GSA07 Type_2_Error
HackNGo FishersFour S_V_D Excelites 5thQuantile
data_exploders data_warrior MagnIeeT Yes Data Data Pirates
AbAnalytics The_Generals Hashbreakers The_Four Agragens
NLP_Rockers

WHY PARTICIPATE?

Face the real-world Challenges
Access curated datasets (anonymized) and design your data models efficiently

Network with the community and have fun
Connect with like-minded data enthusiasts: explore and grow as experts together.

Mentorship
Acces to mentorship by industry experts in the field of Data Science, Big Data, FinTech and other emerging technologies.

Chance to work with YES BANK

Top 10 teams to get a working project with YES BANK to implement their data models

Win Cash Prizes

  • Data Wizard – INR 5 Lakhs (1 Winner)
  • Data Acers – INR 2 Lakhs Each(4 Teams)
  • Data Pros – INR 1 Lakh Each(4 Teams)
  • Data Champs – INR 1 Lakh (1 Student Team)

Unlock Access and Credits

All top 50 teams to get free AWS credits, access to Datagiri meetups and the opportunity to work with Cloudera tools

REWARDS

The top 10 teams will get a chance to implement their solutions at YES BANK

Data Wizard

( 1 Winner)

₹ 5 Lakhs

Data Acers

(4 Teams)

₹ 2 Lakhs Each

Data Pros

(4 Teams)

₹ 1 Lakh each

Data Champs

(1 Student Team)

₹ 1 Lakh

WHO CAN PARTICIPATE?

HOW TO PARTICIPATE?

Step 1: Click here ‘Join the Datathon’ – you will be led to our datathon partner – Skillenza’s page for the YES BANK Datathon

 

Step 2: Click ‘Register’ and enter details required to sign up

 

Step 3: Get your crew together and form a team – we recommend cross-disciplinary teams (max. 4 members) comprising Data Scientist, Big Data Engineer, Coder, Full Stack Developer to register

 

Step 4: Once completed, you will get a confirmation mail from Skillenza. Happy data diving!

ROUNDS & TIMELINES

Datasets & Use Cases

Top 50 teams get access to curated banking data*

  • Service Tickets & Leads
  • Customer Product Holding Data
  • Customer Demographics
  • Point of Sales throughput & Merchant Data
  • Transaction Data
  • Pre-Approved Offers for Customers
  • Delivery datasets & Delivery Auto Logs
    Account level KPIs

Some of our current areas of interest include but are not limited to:

    • Financial supply Chain: Identifying & classifying the inflow/outflow of transactions to identify potential customers
    • Auto-reminder payment system: predicting the Customer’s next payment transaction
    • Customer product recommendation model

Developing a recommendation model to determine what are the next products and services we should offer to the customer

Sample of actions for Service and Sales

    • Service Request- Cheque Book Issuance, Biller Registrations and Auto pay
    • Sales- Liabilities (SA, TD etc.) and asset products (credit card etc.)
  • Analysis of POS Throughput and merchant data to identify any anomalies in the pattern of usage of POS terminals

Mentors

Rajat Kanwar Gupta

President
Business & Digital Technology
YES BANK

Mathangi Sri

Head Data Science, Phonepe

Vaibhav Gupta

Director, EY

Hindol Basu

CEO, Actify Data Labs

Biswa Gourav Singh

Lead ML Engineer, Capillary Technologies

Ajay Ohri

Specialist Platform
SAPIENT AI PRACTICE

Subrat Panda

Principal Architect, AI Technologies
Capillary Technologies

VARTUL MITTAL

Technology & Innovation Specialist

Gaurav Daftary

Quantitative Analyst
Moody’s Investor Services

Farhat Habib

Director, Data Sciences
Inmobi

Subramanian M S

Head of Analytics
bigbasket.com

Yogesh Joshi

CIO

Kores India

Nitin Sareen

Head of Analytics Solutions & Delivery

Aditya Birla Group

Nimilita Chatterjee

Sr. Vice President-Data & Analytics

Equifax

Ratnakar Pandey

India Head Analytics & Data Science

Arpit Agarwal

Associate Director, Data Science Zoomcar

Sayan Sen

Head – Data Labs

HDFC Life

Subhabrata Sinha

Assistant Vice President, Insurance Analytics Genpact

Saurav Gandhi

Director – Credit Risk and Data analytics – PayU

Rohit Pandharkar

Head, Data Science & AI, Mahindra Group

Tanuj Taneja

Associate Director

Kvantum Inc.

Ananda Rao Ladi

Chief Learning Officer

Edureka

Mukesh Jain

Vice President & Head – Data Technologies

Capgemini

Saurav Kaushik

Data Scientist

Uber

TOP 50 TEAMS

Altered_Carbon Oracle
FinanceDataDons DataNinjas
2strat_1Inclnd Spartan4
Random Icube4analysts
TheBeginner QuickSilver
Data_scientist Simpleworksai
Thomas_Bayes AI_GLMatrix
Artis Asdfg
KRYPTON High_Flyers
MesonLabs RSDATA
FakeData2018 Insight
Random Reboot_Rebels
team_prayaas Capillary_Tech
Earthing_123 DataVirtue
Zessta Greenity_Team
reverse_atlas Bacers
Sparks24 SegFault
DJANGO_UNCHAIND Zsers
Team_Billa Green_Peace
GSA07 Type_2_Error
HackNGo FishersFour
S_V_D Excelites
5thQuantile data_exploders
data_warrior MagnIeeT
Yes Data Data Pirates
AbAnalytics The_Generals
Hashbreakers The_Four
Agragens NLP_Rockers

PARTNERS

Bitnami