Sanu Mishra
Senior Analytics Professional
Experience
Decision Scientist III
Vinted GmbH
Built an FRT (Full Resolution Time) data product in dbt and BigQuery with a MECE ticket lifecycle methodology derived from a unified semantic mapping and ordered event stream.
Delivered reusable macros, modular models, automated unit tests, and a LookML metric layer adopted by Process Improvements and Ops.
Overhauled FRT experiments using quasi-experimental and pre-post causal analyses to demonstrate that slower resolution affected GMV, enabling shifting from a blanket 70%-in-48h SLA to problem-specific targets and providing the analytical foundation for SLA redesign.
Product Analyst
HelloFresh SE
Developed the Menu Variety Score to optimize menu design and built an automated experimentation framework covering A/B setup, sample sizing, significance checks, pre-bias correction, and templated reporting, accelerating experimentation velocity and delivering a 1% AOR uplift, generating $891k in additional net revenue.
Developed Push/Email opt-out rate models and experimentation metrics within the CRM marketing experimentation stack, delivering near real time campaign impact visibility.
Developed innovative GA tracking solutions for product experiments, unlocking deeper user behavior insights and empowering better analysis and interpretation of experimental results.
Associate Managing Consultant
Mastercard
Implemented leakage analysis and gamers identification for a loyalty program, identifying and addressing a total leakage of $1.7M attributed to gaming behavior.
Created a logit model to identify key drivers of first redemption among enrolled cardholders, enhancing the effectiveness of the loyalty program.
Consultant
Mastercard
Built a rewards recommendation engine using supervised and unsupervised techniques to identify engagement levers and provide recommendations to drive higher redemption amongst enrolled customers.
Overhauled a Merchant Budget Forecasting Tool providing monthly forecasts for one year based on the enrolled cardholders at a merchant level, helping regional teams in merchant enrollment.
Apprentice Leader
Mu Sigma
- Spearheaded an engagement worth ~$0.8Mn comprising a cross functional team of 8 analysts delivering solution designs around market sizing, social media listening, pricing and sales forecasting.
Decision Scientist
Mu Sigma
Designed a white box algorithm in 6 weeks to quantify the demand transfer with an accuracy of 78% from one merchandising unit (SKU) to other similar SKUs considering product attributes.
Built a tool and developed a predictive model leveraging click stream data to analyze current trends in the beauty industry and identify nascent trending ingredients before they hit critical mass.
Developed a forecasting engine comprising 13+ time series forecasting models to provide exceptionally reliable accurate forecasts at a country category level.
Developed a framework to identify key drivers of sales implementing regression analysis and quantify their impact on sales (lift analysis).
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Retail (3.5 years), Cosmetics (3 years), Food and Beverage (2.5 years), Banking and Finance (2.5 years), and Professional Services (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Business Intelligence (9.5 years), Marketing (7 years), Supply Chain Management (3 years), Product Development (2.5 years), Information Technology (1.5 years), and Operations (0.5 years).
Summary
Senior analytics professional with 9+ years across product, operations, and marketplace domains, blending experimentation rigor, data modeling, and statistical expertise. Proven ability to translate ambiguous business problems into trusted data products and self-serve systems that drive product clarity and operational impact
Skills
- Languages: Sql, Python, R
- Tools & Platforms: Dbt, Bigquery, Vs Code, Jupyter, Airflow, Git, Looker, Tableau, Streamlit
- Warehouses: Bigquery, Snowflake, Databricks, Aws, Hive, Impala
- Experimentation & Analytics: A/b Testing And Quasi-experimental Methods, Regression, Forecasting, Driver/lift Analysis, Ga4 And Event Tracking, Self-serve Analytics, Kpi/metric Design And Governance
Languages
Education
National Institute of Technology (NIT)
Bachelor of Engineering, Electrical and Electronics Engineering · Electrical and Electronics Engineering · India
Profile
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