Akansha Sinha
Product Manager
I’m a product manager and analytics leader with 8 years of experience across e-commerce, tech consulting, and data strategy. I specialize in data-driven product development, cross-functional leadership, and building scalable solutions. Currently pursuing my MS in Business Analytics at Babson College.
My Skills & Expertise
- Market Research
- Competitive Analysis
- Product Roadmapping
- Go-to-Market Planning
- Product Lifecycle Management
- Agile & Scrum
- JIRA & Confluence
- SQL & Data Analysis
- Wireframing & Prototyping
- A/B Testing
- Cross-functional Team Leadership
- Stakeholder Management
- Product Team Mentoring
- Executive Communication
- Product Vision Setting
Featured Projects
Led the Shopify & Amazon integration at Santo Remedio, resulting in $2.6M revenue growth and a 35% increase in the customer base.
Developed a recommendation engine using Association Rules, processing 500K+ daily user interactions and increasing AOV from $63 to $64.29.
Built ETL pipelines and a BigQuery + Tableau dashboard to process 5GB of daily data, reducing decision-making time from 10 hours to 30 minutes.
Created an interactive Tableau dashboard analyzing real-time usage trends for Blue Bikes, improving operational efficiency by 29%.
Designed a neural network to predict personal loan approvals with 97.2% test accuracy, visualized via confusion matrices and model diagrams.
Used k-means and hierarchical clustering for public employee salary analysis; results visualized with Elbow charts, scatterplots, and dendrograms.
Built a Tableau dashboard analyzing order volume, payment preferences, and customer satisfaction across Brazil. Revealed regional disparities in delivery delays and helped optimize logistics strategies.
Performed RFM analysis using SAS on 20K+ customers for Champion's DTC channel. Identified 5 segments and proposed targeted retention and marketing strategies based on CLV and engagement.
Built a CART model to predict GoDaddy's product likeness using advanced tuning and pruning. Achieved a MAPE of 10.67%, driving actionable insights for pricing and marketing decisions.
Applied LDA topic modeling and text preprocessing on New York Times comments to identify themes and sentiment trends across reader discussions using Python and NLP techniques.
Developed a Python-based web scraper using BeautifulSoup and Selenium to extract NYT comments for NLP analysis. Managed dynamic content loading and anti-scraping challenges.
Analyzed tweet sentiment for Kamala Harris and Donald Trump using VADER, BERT, Flair, and TextBlob. Found that negative tweets drove the most engagement across both figures.
Work Experience
- Spearheaded cross-functional team of 12 to develop and execute e-commerce product strategy for Shopify and Amazon integration, driving $2.6M in revenue and 35% growth in customer base.
- Implemented attribution modeling across 5 marketing channels, lowering CAC from $75 to $63 and improving LTV/CAC from 1.7 to 1.9.
- Led ETL pipeline development and built real-time analytics dashboard using BigQuery and Tableau, reducing decision-making time from 10 hours to 30 minutes.
- Constructed a recommendation engine using Association Rules, handling 500K+ daily user interactions and increasing AOV from $63 to $64.29.
- Developed A/B testing framework and executed 9 tests, launching 4 features and improving conversion by 10% (2.2% to 2.42%).
- Directed a team of 5 to architect a Unified Data Ecosystem using Celigo and PostgreSQL, reducing onboarding time for acquired brands by over 90%.
- Defined KPIs, OKRs, and facilitated weekly sprints within a Scrum framework; authored PRDs to align cross-functional teams.
- Deployed Jira for backlog and roadmap visibility, resulting in 30% improvement in project delivery time.
- Achieved 24% product performance gain by leading UAT with stakeholders and prioritizing data-driven enhancements.
- Managed 15 clients, leading end-to-end implementation of Order-to-Cash, Procure-to-Pay, and Inventory modules using Celigo and NetSuite ERP.
- Led a team of 5 engineers to integrate NetSuite with third-party APIs, boosting operational efficiency by 40% and driving $200K in revenue.
- Introduced Power BI-based Project Health Check (PHC) report to improve billing and resource allocation by 15%.
- Architected SAP-PI solutions to support Lonza’s operations in 40+ EMEA and APAC regions.
- Presented strategic recommendations to leadership, securing $1M in additional funding for European expansion.