Recommended expert

Sanu Mishra

Senior Analytics Professional

Sanu Mishra
Berlin, Germany

Experience

Jul 2025 - Present
8 months
Berlin, Germany

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.

Oct 2022 - Jun 2025
2 years 9 months
Berlin, Germany

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.

Aug 2021 - Oct 2022
1 year 3 months
Gurugram, India

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.

Feb 2020 - Aug 2021
1 year 7 months
Gurugram, India

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.

Nov 2019 - Feb 2020
4 months
Bengaluru, India

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.
Nov 2016 - Nov 2019
3 years 1 month
Bengaluru, India

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).

Retail
Cosmetics
Food and Beverage
Banking and Finance
Professional Services

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).

Business Intelligence
Marketing
Supply Chain Management
Product Development
Information Technology
Operations

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

English
Native
German
Elementary

Education

Jun 2012 - Jul 2016

National Institute of Technology (NIT)

Bachelor of Engineering, Electrical and Electronics Engineering · Electrical and Electronics Engineering · India

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Sanu based?

Sanu is based in Berlin, Germany and can operate in on-site, hybrid, and remote work models.

What languages does Sanu speak?

Sanu speaks the following languages: English (Native), German (Elementary).

How many years of experience does Sanu have?

Sanu has at least 9 years of experience. During this time, Sanu has worked in at least 6 different roles and for 4 different companies. The average length of individual experience is 2 years and 7 months. Note that Sanu may not have shared all experience and actually has more experience.

What roles would Sanu be best suited for?

Based on recent experience, Sanu would be well-suited for roles such as: Decision Scientist III, Product Analyst, Associate Managing Consultant.

What is Sanu's latest experience?

Sanu's most recent position is Decision Scientist III at Vinted GmbH.

What companies has Sanu worked for in recent years?

In recent years, Sanu has worked for Vinted GmbH, HelloFresh SE, and Mastercard.

Which industries is Sanu most experienced in?

Sanu is most experienced in industries like Retail, Beauty and Cosmetics, and Food and Beverage. Sanu also has some experience in Banking and Finance and Professional Services.

Which business areas is Sanu most experienced in?

Sanu is most experienced in business areas like Business Intelligence, Marketing, and Supply Chain Management. Sanu also has some experience in Product Development, Information Technology (IT), and Operations.

Which industries has Sanu worked in recently?

Sanu has recently worked in industries like Food and Beverage, Banking and Finance, and Retail.

Which business areas has Sanu worked in recently?

Sanu has recently worked in business areas like Business Intelligence, Marketing, and Product Development.

What is Sanu's education?

Sanu holds a Bachelor in Electrical and Electronics Engineering from National Institute of Technology (NIT).

What is the availability of Sanu?

Sanu is immediately available full-time for suitable projects.

What is the rate of Sanu?

Sanu's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Sanu?

To hire Sanu, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

1000
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Market avg: 700-860 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.