About Me

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Greetings! I am a full stack Product Manager with expertise in

What?

If you are seeking for someone to help discover and describe how AI/ML may bring innovation to your product, assist in the creation of products with an outstanding user experience, and use data to inform crucial product choices, I am the person you are searching for.

"Product Manager with a keen eye for design and data science, that's me."

I am committed to using my composite skills and past experiences collaboratively to make the product better in every way possible, including its precision, feasibility, viability, desirability, functionality, flow, consistency, usability, and simplicity.

How?

My strength came from two decades of solid information technology experience that have helped me understand the interdependence of various functions in global technology organizations and businesses when it comes to solving large-scale customer problems. In the last few years, along with my technical skills, I've developed a few characteristics, such as passion, rigor, empathy, critical problem-solving ability, and a design thinking approach, which I believe are assisting me in becoming an exceptional product manager.

ResearchDataInsightDesignAgileProduct Leadership

My expertise in data science and big data helps me to acquire, store, and process massive amounts of structured and unstructured data, while my expertise in expertise in ux research and design, and prototyping helped me to do rapid prototyping, my expertise in ai programming, engineering and MLOps expertise I used for automation and collaboration with data science team and my agile product management, data storytelling, and execution skills enable me to execute the product increment release plan form inception to final product quickly and efficiently which I beleive those composite skills help me to create products that enhance the lives and livelihoods of people.

Why?

AI is the new electricity. Hence I strongly believe after the invention of electricity the way industrial revolution freed up humanity from physical drudgery with the equal or more intensity Artificial Intelligence has the potential to free up humanity from mental drudgery.

My career purpose is to create desirable, feasible and viable products and solutions that enhance the way people live and work, which motivates me to create customer-centric products and solutions. As a result, I am constantly on the lookout for opportunities to meet with customers and users and learn about their pain points, needs, and desires.

I care about social causes like child(ren) empowerment and technology education, so in my spare time, I write and blog about topics like parent mentoring, children's holistic development, compound learning, artificial intelligence, and product designing.

If you think that this would be something that piques your interest, feel free to get in touch with me using the information that is provided down below in the contact information.

My Skills

Product
Leadership

  • Skill Summary:
    Executive MBA in Product Leadership.
  • 5+ years of exp in Agile product management and cross functional stakeholder management.

  • Skills Mastry:
    - Leadership context
    - Business context
    - Customer context
    - Innovation context
    - Process context
    - Market context
    - Advanced Agile
User Experience
Design

  • Skill Summary:
    5+ years of exp in Product Design using HPE Design System

  • Skills Mastry:
    - Design sprint
    - Design thinking
    - User research
    - Affordance
    - Gestalt principles
    - Accessibility (A11y)
    - UIUX design
    - Figma
    - Usability testing
    - Responsive design
    - Equity focus design
Data Science
and Big Data

  • Skill Summary:
    Master in Business Analytics.
  • 10+ years exp in data science, big data and BIDW.

  • Skills Mastry:
    - Inferential statistics
    - Data ingestion
    - Data transformation
    - Data validation
    - Model training
    - Model evaluation
    - CI/CD pipeline
    - MLOps automation
    - Python for DS
Hybrid Cloud
Computing

  • Skill Summary:
    5+ years exp of Hybrid Cloud product building and cross functional stakeholder management.

  • Skills Mastry:
    - Release (PI) planning
    - Sprint planning
    - Sprint execution
    - Cloud metering
    - Service provisioning
    - HPE Design system
    - MERN & MEAN stack
    - Scaled agile (SAFe)

My Product Experiences

Sixth Sense
Mantor Lab
2021 to 2022

  • Product Vision:
    Strive your parental mentoring to the next orbit to help your kids thrive.

  • Problem Statement:
    Rita & Raj are busy and responsible parents of Roma & Rohan, who need to spend few hours a day mentoring their child(ren) to better understand them holistically and their friend circle, so they can give their personal attention and mentor them hollistically to develop good learning habits and a growth mindset to realise his or her full potential.

  • Product Outcomes:
    Interviewed 300+ users (parents, students, teachers) to identify and validate the problem statements.
  • Create the landing page and blogs to spread awareness among students and parents under 10+2 (K12) about new education policy (NEP 2020), compounding learning and integrated PHD.

  • Tools Used:
    - Business Model
    - Value Proposition
    - Empathy map
    - User journey map
    - Competetor Analysis
    - User research
    - UX Design
    - Design System
    - Figma
    - HTML 5, Java Script
    - CSS, Bootstrap
    - Landing Page
AI/ML
Automation
2021 to 2022

  • Product Vision:
    Accelerate the cycle of data science ideation.

  • Problem Statement:
    Hidden Technical Debt in Machine Learning System: Only a small fraction of a real-world ML system is composed of the ML code. The required surrounding elements are vast and complex.
  • Experimental and operational symmetry inprove performance.
  • Modularise code improve reusability in the pipeline.
  • Continuous deployment (CD) of model acheived

  • Product Outcomes:
    Rapid & reliable updates of ML pipeline.
  • Automating build/test/deployment of ML pipeline helps data science team to focus on new ideas.
  • Realtime monitoring of model in production acheived.
  • Frequent experiments with new optimised implementation to produce better model.
  • Frequent experiments with new optimised implementation to produce better model.

  • Tools Used:
    - Inferential statistics
    - Data ingestion
    - Data transformation
    - Data validation
    - Model training
    - Model evaluation
    - CI/CD pipeline
    - MLOps automation
    - Python for DS
    - Anaconda
    - Jupyter notebook
Vehicle Dent Detection
2020 to 2021

  • Product Vision:
    Expedite the claim process cycle.

  • Problem Statement:
    Vehicle Dent Detection is a vision computing algorithm to accurately identify the severity of the damage from the vehicle image(s), whether it is a dent, scratch, or major damage, using the AI/DL object detection technique.
  • Explored various image segmentation models (UNet, UNet++, Masked RCNN, YOLO++)
  • Breakdown whole problems into small chunks in term of user story and execute 5 days sprint including daily checkings
  • Label 2000+ images for model training
  • Design,develop,integrateanddeploythe model in cloud and automate the process using MLOps CICD pipeline.

  • Product Outcomes:
  • Vehicle insurance claim accurecy improves by 30%.
  • Insurance claim settlement time reduced from weeks to days.

  • Tools Used:
    - Python for DS
    - Anaconda
    - Jupyter notebook
    - Computer vision
    - Agile scrum
    - Sprint planning
    - Sprint execution
    - Label me
    - Tensorflow
    - AIOps
    - Figma
    - Flask
HPE
GreenLake
2019 to 2020

  • Product Vision: Create new value where insight meets opportunity.

  • Problem Statement:
    The mission of HPE GreenLake is to provide the benefits of the cloud to any location, whether it be at the network's edge, within a data centre, or at a colocation facility.
  • Delivered 5 initiatives from inception to final products.
  • Led two agile product teams of 20 (engineers & designers), implemented an agile dual-track process to seamless collaboration among designers & engineers.
  • Implemented design critique and code review to minimize the gap between design specs & final product.

  • Product Outcomes:
    Elimination of over-provisioning saves ~40% CAPEX.
  • 75% faster digital project deployment and 85% less unexpected downtime.
  • 40% increases IT team productivity by reducing the IT support burden.

  • Tools Used:
    - Rally for PI Planning
    - Scaled Agile (SAFe)
    - Sprint Planning
    - Sprint execution
    - Quote to Cash (Q2C)
    - Service Provisioning
    - HPE Design Sysyem
    - Figma
    - MLOps
    - Python for DS
    - Anaconda
    - Jupyter notebook
    - Apache Airflow
    - MERN & MEAN Stack

My Social Channels

Feel free to connect with me at asit.piri@gmail.com or reach me at any of the below social channels

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