SQL
Shubhankar Banerjee
Associate Director - Financial Crime & Compliance (Risk Analytics)
Bengaluru,KA
Work Preference
Summary
Data science professional with over 12 years of experience delivering innovative data mining and statistical machine learning solutions across diverse sectors, including Banking & Finance, Retail & Fashion, Telecommunications, and Pharmaceuticals. Possesses a strong background in analytics and database tools, complemented by extensive expertise in strategic planning, project management, and stakeholder communication to drive organizational success. Demonstrated ability to leverage data-driven insights for process optimization while mentoring teams to excel in fast-paced environments. Recognized for adaptability, reliability, and a steadfast commitment to achieving impactful results.
Overview
13
13
years of professional experience
6
6
years of post-secondary education
3
3
Certificates
Work History
Associate Director - Risk Analytics
Standard Chartered Global Business Services
Bengaluru, Karnataka
04.2023 - Current
- Leveraged data and analytics to build the statistical model framework to calculate the inherent risk for money laundering, sanctions, bribery, and corruption cases for over 70 countries around the globe. The risk assessment is performed for CASA accounts, trade, financial lending products, mergers, and
acquisition deals, etc. - Managed prediction analytics projects to identify the major factors impacting the SAR and noncompliance cases in various mule and shell companies.
- Monitored risk and control alerts across all major business functions, such as Corporate and Institutional Banking, Private and Business Banking, and Retail Banking, to make informed decisions and drive business improvements.
- Established strong relationships with cross-functional teams and key industry partners for multiple large-scale projects, creating mutually beneficial opportunities for growth and collaboration.
- Develop the plan for all the functional and non-functional business requirements, thereby streamlining and driving the projects end-to-end.
- Led teams of up to four personnel, providing guidance on the project components, and continuous monitoring for all the technical enhancements.
- Reduced operational costs by identifying inefficiencies and implementing cost-saving measures related
to tools and platforms.
Assistant Manager - Operation Analytics
CITI Bank
Bengaluru, Karnataka
09.2021 - 04.2023
- Leading a team of three resources and collaborating with U.S. partners to implement actionable analytical solutions and provide insights for customer experience and customer service across North American banking operations.
- Representative Customer Satisfaction Model: Monthly and quarterly call-level data between customers and voice agents, along with their sentiment scores, were extracted and modeled using CHAID Decision Trees to find the list of metrics that trigger customers to give low sentiment scores. This helped the team monitor and drive actionable insights on how the drivers can be controlled to improve the customer satisfaction score.
- IVR : Monthly IVR calls across different credit card accounts, retail bank accounts, etc., are extracted, and a heartbeat report is generated by mapping all customer-used IVR menus into different call reason categories. Also, a Client Effort Score is created by building a linear regression model on the IVR call
time and the number of steps followed by the customer for authorization, intent menus, and wasted
steps. This score showed whether customers had to put more or fewer efforts into any specific IVR menus to get their intent resolved. This model helped us save 1.5 million operations costs on lengthier, faulty menus in IVR. - Agent Performance Score: By implementing an advanced analytics monitoring tool on the agents' systems, we were able to monitor their time spent on apps related to business, documentation, or
communication, as well as the inactive hours. Also, the number of tickets/issues resolved by them was also tracked. These data helped us build a statistical score and categorize the low-performing agents to train further in multiple aspects.
Analytics Manager
Landmark Group
Bengaluru, Karnataka
09.2017 - 09.2021
- Leading a team of four resources across all shoe businesses of Landmark Group (seven brands). Managing onsite stakeholders across seven countries in the Middle East through effective requirement gathering, presentation, and communication about the impact of analytics on business, thereby stabilizing the new solution.
- Provide actionable analytical insights to implement business development strategies from complex,
multi-dimensional customer behavior data sets, quantitative analysis, data mining, and data presentation to understand how users interact with core business and products. - Collaborate with product development and other functions, like Marketing, Product Management, Engineering, and Design.
- Association rule mining: Transaction-level data for the last year across countries has been modeled using association rule mining, which led to an enhanced customer shopping experience by placing together products that co-occur, delivering targeted marketing by texting or mailing customers who bought products specific to other products, and offering those products that are likely to be interesting to them.
- Churn model using logistic regression: Identified the customers who are likely to churn using various customer metrics, such as average order gap, last transaction value, nationality of the customer, and past purchase patterns of the customer, which helped in reducing the churn percentage and a revenue
loss of $10 million. - Customer Lifetime Value: Using the customer's past data leading up to the most recent transactions, customers' preferences, expenses, recent purchases, and behaviors were classified and analyzed. Some statistical methodology and CLV models were applied to help identify the customer's buying pattern
until he or she stops making purchases.
Senior Systems Engineer
Infosys Limited
Bengaluru, Karnataka
08.2013 - 11.2016
- Analyzed quantitative and qualitative business data of an US Retail client to develop strategic solution design capable of fulfilling the customer's specific shopping requirements and process models.
- Customer Lifetime Value: Using the customer past data leading up to the most recent transactions, customers’ preferences, expenses, recent purchases and behaviors were classified and analyzed. Some statistical methodology and CLV models were applied helped to identify the customer’s buying pattern up until he or she stops making purchases.
- Price Optimization: The data gained from the multichannel sources define the flexibility of prices, taking into consideration the location, an individual buying attitude of a customer, seasoning and the competitors’ pricing. Using the model of a real-time optimization we could help our retailers have an opportunity to attract the customers, to retain the attention and to realize personal pricing schemes.
Software Developer
Newsys Solution Pvt. Ltd
Bhubaneswar , Odisha
08.2012 - 06.2013
- Designed and developed web applications and user interface for various clients using JAVA.
- Performed troubleshoot to identify software performance issues.
Education
Post Graduate Diploma - Business Analytics & Data Science
Praxis Business School
Kolkata, West Bengal 01.2017 - 10.2017
Bachelor of Technology - Mechanical Engineering
NM Institute of Engineering And Technology
Bhubaneswar, Odisha 08.2008 - 06.2012
Higher Secondary - Science
Deepika E.M. School
Rourkela, Odisha 04.2007 - 03.2008
Matriculation - undefined
S.E.Railway M.H.S. School
Chakradharpur, Jharkhand 04.2005 - 03.2006
Skills
R/SAS/Python
Certification
Introduction to Python for Data Science (Certification Link - https://bit.ly/2MAqzg4)
Software
R
Python
Canva
Unix
MS Office
Languages
English
Bilingual or Proficient (C2)
Hindi
Bilingual or Proficient (C2)
Bengali
Bilingual or Proficient (C2)
Interests
Music & Vocals
Driving
Badminton
Cooking
Binge Watching
Reading Novels
Quote
There is a powerful driving force inside every human being that, once unleashed, can make any vision, dream, or desire a reality.
Tony Robbins
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Associate Director - Risk Analytics
Standard Chartered Global Business Services
04.2023 - Current
Assistant Manager - Operation Analytics
CITI Bank
09.2021 - 04.2023
Tableau for Beginners
10-2019
Data Analysis/Visualization with Pandas and Matplotlib in Python
06-2019
Analytics Manager
Landmark Group
09.2017 - 09.2021
Introduction to Python for Data Science (Certification Link - https://bit.ly/2MAqzg4)
05-2017
Post Graduate Diploma - Business Analytics & Data Science
Praxis Business School
01.2017 - 10.2017
Senior Systems Engineer
Infosys Limited
08.2013 - 11.2016
Software Developer
Newsys Solution Pvt. Ltd
08.2012 - 06.2013
Bachelor of Technology - Mechanical Engineering
NM Institute of Engineering And Technology
08.2008 - 06.2012
Higher Secondary - Science
Deepika E.M. School
04.2007 - 03.2008
Matriculation - undefined
S.E.Railway M.H.S. School
04.2005 - 03.2006