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Technical Product Owner

Location:
New York, NY
Posted:
January 01, 2021

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Resume:

Azizul Haque Mondal

551-***-**** adi24c@r.postjobfree.com www.linkedin.com/in/azizul-haque-mondal/

*** **** ** ******, *** York, NY, 10019

Profile

A well rounded & diligent individual with 7+ years of IT Experience and 5+ years of Product Management working in the capacity of variegated roles such as Technical Analyst, Technical Product owner, Information Architect, UX designer, Cloud Solutions Engineer in the Finance, Banking, Wealth management, Content management, Ecommerce & Automobile Industries, Enterprise Resource Planning. Financial Domain awareness with Portfolio Management, Anti-Money Laundering, Regulatory and Treasury Reporting, Credit Derivative along with TCPA Compliance Review for telecom based E-commerce applications with both Product and Service based offerings.

USP’s

Pioneered the Chase Profile Decomposition project which involved breaking down the SPS Digital Profile Monolith into Microservices architecture and first phase transformed 35 legacy APIs to MS, Transformation of the Data stack to a more robust No-SQL Cassandra data stack, leading to a 52% increase in response times across the platform.

Co-ordinated Development of a Digital Contact Center Overhaul Initiative which became a repository product for most commonly faced issues across the Digital Platform altogether and reducing the MTBF for the Digital Production Incident Management Platform by up to 26%.

Developed the Chase Third Party integration platform in co-ordination with 6 teams on the foundation of the Zuul Proxy mediator along with the external API Gateway based on 3-legged OAuth channel which has streamlined the Business model of integrating with any third party API.

Streamlined the Project Intake Product roadmap for Gateway services and increased the overall budget allocation for Gateway Services from USD15M to USD28M.

Designed a product roadmap for DevOps schedule of all the Gateway services apps and simulated a automated deployment system while simultaneously ensuring node level and app level properties were easily tracked; enabling expansion of Data centers.

Developed Digital Product Conceptualization plans with Business Teams & Epic/Story Breakdown for all Digital Merchant Services initiatives handling Project intake to Production validation.

Designed the NXG Brake Actuation system for MAGNA which has a patent pending with the EPO - Austria.

Led The Dell Business Customer Relationship team for a period of 4 months and fostered a plan for reducing servicing costs(Increased Efficiency model by 15%) and alleviating pain points across SMB and Large Scale Businesses.

PROFESSIONAL EXPERIENCE

JP Morgan Chase: New York, NY

Technical Analyst/Technical Product Owner Oct 2018 – Till Date

Responsible for product and application roadmap reviews, encapsulate business and development logic and embed it into the product roadmap.

Performed consistent analysis of orchestrated web services (SOAP & REST) required in the ART product planning and ensuring they are in conformance with API Standards and nomenclatures.

Completed gap analysis to pre-empt risks and established a Risk-value tradeoff model before Team breakout sessions and Actual implementation.

Performed Business Requirement and Feature Prioritization along with estimating these efforts in accordance with the Project intake model supplementing the Budget allocation and resource distribution planning in all phases of the financial quarter.

Maintained confluence documentation across releases for Product/Application/API variances and provide personal design and technical input for during product/sprint reviews.

Remained the point of contact for Project managers when it comes to setting pre-emptive deadlines and delivered the MVP for the tactical initiatives also ensuring stakeholder alignment with LOB Business Representatives.

Monitored the FR’s and NFR’s required to supplement the CICD pipelines in an effort to increase TTM for core product capabilities

Provided design input to Design Authorities and Oracle DBA architects during API design and DB design sessions.

American Express : New York, NY

Technical Product Manager/ Big Data Engineer Nov 2017 – Oct 2018

●Designed the product Roadmap for the in-house Fraud Prediction model and created a customizable dashboard for credit monitoring agencies.

●Collated Real-time streaming data from credit agencies such as Transunion & Experian, performed data cleansing and developed data ingestion pipelines for the Kafka feed.

●Transformed Kafka loaded data using Spark-streaming running on the in-house and indigenous framework Intended for both the legacy and modernized platforms.

●Used Sci-kit learn, Pandas, Numpy and Tensor flow to determine insights from data and created a trained credit fraud detection model for batch data.

●Deployed model using Dockers to facilitate multi-environment transition.

●Streaming data was stored viz Amazon S3 buckets deployed over EC2 and EMR cluster framework apart from using Traditional DB2 Databases for batch data.

Coupon Purchase Prediction Model(Freelance- Upwork.com): New York, NY

Data Engineer – I/Systems Analyst July 2017 – Dec 2017

Designed a Coupon Purchase Prediction system using Real-time streaming data was analyzed from E-bay, Macy’s, Walmart, Nike and ETL guidelines were applied to it for cleaning and pre-processing data using SQL.

Cleaned and congruous data was then streamed using Kafka bus into Spark Pipelines and manipulations were performed on real time data with Pre-set python/Scala Mined pipelines.

Baselined the Machine learning model contingent with the coupon purchase recommendation engine by training the model on historical purchase data of customers across the retail hemisphere of certain East coast states.

Stored the time-series transformed data from the Spark engine built on top of a Hive platform to Amazon S3 and Redshift.

Visualized the results using Tableau dashboards and the Python Seaborn libraries were used for Data interpretation during Data modelling.

Seidenberg Innovation Labs/Product Innovation Program: New York, NY & Graz, Austria

Lead Designer/Developer

●Developing the next generation actuation system accentuating a high fidelity agile prototype for Magna International based out of Graz, Austria in collaboration with a multicultural and multidisciplinary team of engineers from all across Europe and present the same in the International Design factory Gala at Graz, Austria by May 2017.

●Design was patented(EP3572659B9) and is now an ambitious project being developed by Magna International TM.

Seidenberg School of CSIS: New York, NY

UX Designer(User Interface Design of the application Pace Sec 2.0)

●Developed Pace Sec Mobile application currently used in Pace University among all On-campus and Off-campus population. Campus security coverage KPI had improved to a rating of 87% from 8% within the first 7 months of app launch.

●Created low-fidelity prototypes using Sketch and High-Fidelity prototypes using InVision and Proto.Io

●Performed User research on Target audience with contextual interviews and assimilated behavioral patterns into a design thinking model.

●Resulted in increased Site visits from a mere 51% to 78% and research time on page came was optimized to 45%.

SYMANTEC Chennai, India

Product Support Associate October 2014 – August 2015

●Managed a team of 12 as Product Support Associate for more than 2500 global clients in the United States, United Kingdom, and Australia for a period of 6 months.

●Responsible for penetration testing of corporate networks and white-hat testing for vulnerabilities.

●Coordinated with product leads to identify problems with Norton products and acted as a liaison between the Development Team and Quality Team to ascertain the KPI’s of the product.

SUTHERLAND (DELL) Chennai, India

Network Consultant Team Manager February 2013 – October 2014

●Worked as network consultant with Dell Technical Support for over 1000 US customers.

●Reported common issues faced with Dell products and fostered feasible solutions making least changes in physical design of the product and rendering maximum throughput by alleviating the defects.

●Managed a team of 8 and monitored overall team progress, achieved preset objectives, generated consolidated reports reviewing the team’s performance and articulated ways to improve both company and team operations.

EDUCATION

Pace University, Seidenberg School of CSIS New York, USA Master of Science, Information Systems GPA: 3.85/4.0 June 2017

Anna University, BSA Crescent Engineering College Chennai, India

Bachelor of Engineering, Computer Science GPA: 6.4/10 October 2012

REFERENCES

Available upon request



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