Akshita Goel
Manager-data Analyst @WedMeGood: India's Favourite Wedding Planning Platform
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WORK HISTORY
Manager-data Analyst @WedMeGood: India's Favourite Wedding Planning Platform
Gurugram, IN
Built machine-learning–based spam detection models using Python and XGBoost to identify fake reviews and fraudulent domains, significantly improving platform trust and content quality- Designed and implemented a statistically weighted vendor scoring model leveraging content and lead signals to improve vendor quality assessment and booking outcomes- Developed and maintained performance dashboards to track key metrics such as LPPV (Leads per Paid Vendor), enabling data-driven lead redistribution and measurable vendor performance improvements- Collaborated closely with Product teams to design and roll out a venues ranking algorithm, improving discoverability and overall listing quality- Automated BAU reporting pipelines using Jenkins, reducing manual reporting effort by 10+ hours per week and improving data reliability and turnaround time- Delivered 100+ ad-hoc analytical requests per month across Product, Sales, Marketing, and Operations using SQL, GA4, CleverTap, and Power BI- Conducted deep-dive analyses to identify root causes of performance issues and provided actionable insights to stakeholders, supporting strategic and operational decision-making.
EDUCATION
Maharaja Agrasen Institute Of Technology, Delhi
Bachelor of Technology - BTech, Computer Science
Queen Mary' s School
Higher Education
ABOUT AKSHITA GOEL
I’m a data analyst with 5+ years of experience turning messy data into clear, business-ready insights across product, SaaS, and consumer tech environments.Currently, I work as a Manager – Data Analyst at WedMeGood, where I build scalable analytics solutions that directly impact revenue, lead quality, and platform trust. My work spans everything from ML-based spam detection and vendor scoring models to KPI frameworks and dashboards that help teams make faster, smarter decisions.I enjoy sitting at the intersection of data, product, and business. Whether it’s designing a ranking algorithm, automating reporting pipelines, or answering ad-hoc questions from leadership, my focus is always the same: solve the right problem and communicate insights in a way that drives action.What I bring to the table:Strong hands-on expertise in SQL, Python, Power BI, GA4, and Advanced ExcelExperience building predictive models (XGBoost), dashboards, and end-to-end analytics pipelinesDeep understanding of funnel analysis, KPI design, cohort analysis, and data storytellingProven ability to collaborate with Product, Sales, Marketing, Ops, and external stakeholdersI’ve worked across product companies, SaaS platforms, IT services, and EdTech, which has helped me build a practical, business-first approach to analytics. I’m especially interested in problems around platform quality, growth, experimentation, and operational efficiency.If you’re looking to use data not just for reporting, but for real decision-making, let’s connect.
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