I have 5.5 years of work experience spanning Data Analytics, Product Management, Business Analysis and Software Development.
I specialize in the strategic integration of Analytics, Product, and AI/ML, driving innovation and delivering data-driven solutions that enhance product performance and customer experience.
• Developing MVPs, PRDs, and GTM strategies to help GenAI-driven pre-seed startups secure funding & scale effectively. • Applying data-driven market research to define USPs, ICPs, and align products with market trends & customer needs.
• Developing and deploying dynamic reports and interactive dashboards using Pandas, SQL, and Tableau, enabling datadriven decision making in real-time for senior leadership.
• Designed and implemented predictive models using Python and scikit-learn, significantly improving strategic planning by forecasting trends and outcomes with high accuracy, enhancing overall performance and outcomes.
• Customer Parameter Manager: Accelerated the onboarding of Issuer partners and Affiliates to Mastercard's new cloud-native, multi-API parameter configuration platform, increasing the weekly User Onboarding rate by 5X, from 10 users/week to over 50 users/week.
• Elicited requirements from 15+ international stakeholders to create a unified Product Vision, then led a 9-member tech team (consisting of Development, Quality Assurance, UI/UX, Program Management teams) towards Agile implementation of this vision, achieving an 85% Customer Satisfaction (CSAT) score.
• Reduced Time to Market by 30% for External Customers (Issuers and Affiliates) through automated workflows and standardized onboarding procedures. Criteria for Time to Market was for a parameter configuration setup to go Live.
• Boosted API adoption rate by 35% among Internal Customers (Downstream systems) through training workshops, extensive user feedback sessions, and iterative improvements.
• Implemented the digital transformation of the Payment engines of 2 countries (UK and Saudi Arabia) by eliciting business and technical requirements from the Users, Subject Matter Experts & other stakeholders and prioritizing them effectively.
• Delivered strategic contributions leading to a minimum of 10% reduction in Capital Expenditures (CapEx) and Operating Expenses (OpEx), while improving dynamic scaling and adherence to data sovereignty standards.
• Collaborated with the Business Analyst, QA, Support teams & other developers to implement business requirements by utilizing Java & Oracle SQL to process high-volume, diverse SWIFT payment messages, and reduced traffic by 30%.
Relevant Coursework: Enterprise Performance Management and Metrics, Big Data Ecosystems, Business Intelligence, Managing Data Structures, Advanced Statistical Analysis with Python & R, ML for Predictive Analytics, Visualization & Communication.
Python (pandas, Matplotlib), Isolation Forest
Python (pandas, LGBMClassifier)
Python (NumPy, Pandas, scikit-learn)
Python (NumPy, Pandas, scikit-learn), Keras
Python (NumPy, Pandas, scikit-learn)
Tableau
Tableau Dashboard, Product Analytics, Performance Management
R (syuzhet, tm, tidyverse, ggplot2)
SQL
R (syuzhet, tm, tidyverse, ggplot2)
R
Markov Chains
PMSchool Product Improvement competition
PMSchool Product Improvement competition
PMSchool Product Improvement competition
Product Metrics
Product Improvement
PRD
Learnings
Learnings
Learnings
Case Study, OKR, Performance Management, Analytics, Tableau dashboard
CrewAI API, Groq API, Reddit API (PRAW)
OpenAI API, GraphViz
Llama3.2-1B (Small Language Model), Ollama
RAG, LangChain, ChromaDB Vector DB
NumPy, scikit-learn, lightfm