Get recommended by industry experts
for your next opportunity - for free!

Earn an endorsement for your competencies, and accelerate your career.

Explore
why get endorsed?

Show the world you're ready to level up.

Endorsements are role-specific credentials awarded to folks with 3-8+ years of work experience based on assessment by a panel of industry experts.

Make a Case for Promotion

Work closely with senior experts on real-world problems over two separate 1:1 90-minute sessions to receive your endorsement.

Access New Opportunities

Get noticed by recruiters and hiring managers for the best opportunities in your field. Avail career transition support upon request.

Network with Endorsed Professionals

Join an exclusive Slack community of Endorsed Professionals. Exchange notes on work. Give and get referrals, grow in your careers together.
Panel of Experts

Get vouched for by respected experts!

All experts on our panel have 10+ years of work experience as practitioners of cutting edge tools and methodologies.

Ravi Kompella
Analytics Lead, India
13+ years of experience in big data analytics solutions. Previously at Mu Sigma, Salesforce and Oracle.
Rai Rajani
Director of Data Science
11+ years of experience in process intelligence and AI. Previously at BRIDGEi2i and IIT Madras.
Ajit Khabya
Director of Analytics
13 years of experience in Analytics at Meesho, Indus OS, Kiwi.Inc and marketRx.
Yajur Saboo
AVP of Analytics
15 years of experience in Business Analytics. Previously at Tata Sky and Bharti AXA General Insurance.
Ravi Bhat
Business Insights Leader
16 years of experience in financial strategy planning, governance and reporting. Previously at Infosys and Tata.
Nakul Laad
Director of Analytics
14 years of experience in the digital commerce space. Previously at Swiggy, Accenture and MuSigma.
Sushant Mathur
Director of Product
16 years of experience in developing technology products for enterprises. Previously at Oracle.
Priyanka
Utkarsha
Senior leader of Analytics
12 years of extensive planning and customer analytics experience in consumer industries. Previously at Delhivery and Myntra.
Pranav Kumar
Director of AI & Analytics
17 years of extensive experience leading assignments across Digital Strategy and Products. Previously at Adobe and PwC.
Pavan Nanjundaiah
VP of data science & EnGG
19 years of Data Science and Data Engineering experience in the retail industry. Previously at Tredence Inc. and Seagate.
Praveen Udupa
Founder & MD
22 years of work experience in Product Management and Business Analysis. Previously at eedge.ai and IIBA.
Ravi Kompella
Analytics Lead, India
13+ years of experience in big data analytics solutions. Previously at Mu Sigma, Salesforce and Oracle.
Rai Rajani
Director of Data Science
11+ years of experience in process intelligence and AI. Previously at BRIDGEi2i and IIT Madras.
Ajit Khabya
Director of Analytics
13 years of experience in Analytics at Meesho, Indus OS, Kiwi.Inc and marketRx.
Yajur Saboo
AVP of Analytics
15 years of experience in Business Analytics. Previously at Tata Sky and Bharti AXA General Insurance.
Ravi Bhat
Business Insights Leader
16 years of experience in financial strategy planning, governance and reporting. Previously at Infosys and Tata.
Nakul Laad
Director of Analytics
14 years of experience in the digital commerce space. Previously at Swiggy, Accenture and MuSigma.
Sushant Mathur
Director of Product
16 years of experience in developing technology products for enterprises. Previously at Oracle.
Priyanka
Utkarsha
Senior leader of Analytics
12 years of extensive planning and customer analytics experience in consumer industries. Previously at Delhivery and Myntra.
Pranav Ravi
Director of AI & Analytics
17 years of extensive experience leading assignments across Digital Strategy and Products. Previously at Adobe and PwC.
Pavan Nanjundaiah
VP of data science & EnGG
13 years of Data Science and Data Engineering experience in the retail industry. Previously at Tredence Inc. and Seagate.
Praveen Udupa
Founder & MD
22 years of work experience in Product Management and Business Analysis. Previously at eedge.ai and IIBA.
The Process

Put your past experience and competence to the test!

The process assesses your competence in techno-functional skills, business-focus and stakeholder communication for senior business roles!

Complete Your Application
Tell us more about yourself, your performance in the past and goals for the future.
Get Matched With Experts
Receive a personalised match with two deep domain and industry experts - tailored for your path.
Attend 2 1:1 Working Sessions
Solve problems in real-time over 90-minute online sessions and receive immediate feedback
Receive Endorsement Results
Get to know the outcome of your sessions and receive a digital credential if both experts endorse you!

Earn a digital badge of competence.

The Process To Get Endorsed

Put your competency to the test, in under 45 days!

Made with a focus on busy professionals, the Endorsement process assesses your competence in techno-functional skills, business-focus and stakeholder communication.

Step 1: Complete Your
Application

Two-step process to sign up and tell us more about yourself, your performance in the past and goals for the future.

Step 2: Get Matched with Experts

Receive a personalised match with two domain and industry experts - tailored for your path.

Step 3: Attend 1:1 Working Sessions

Solve problems in real-time and receive immediate feedback over 90-minute video calls.

Step 4: Earn Your
Endorsement

Receive a sharable, digital credential if both experts endorse you, and unlock curated job opportunities.
Get Started Now

600+

Career transitions

152%

Average Salary Hike
Curated Opportunities

Unlock the best roles in Data and Analytics with an endorsement.

Lead Data Scientist
Series a, E-commerce Company
Learn more
Some Requirements:
  • Bachelor's or Master’s degree in Computer Science, Statistics or Mathematics, or Information Systems.
  • Expert in different Machine Learning and Deep Learning modelling techniques and frameworks.
  • Prior experience of working on any MLOps framework/platform
  • Prior experience with tools like SQL, Excel/Google Sheets (pivot tables), and Tableau/Power BI/Looker.
  • Have a business mindset, identify risk situations and opportunities to generate creative solutions.
  • Effective communication skills (written and verbal) to communicate complicated models/ reports to management and other IT development partners.
Data Science Lead
Public, Fintech Company
Learn more
Some Requirements:
  • Expertise in programming languages such as Python and R.
  • Expertise in advanced data analytics, statistical modelling, and machine learning techniques.
  • Experience working in the financial services domain.
  • Experience with new machine learning platforms, such as H2O, is a plus.
  • Experience in communicating with business stakeholders across functions.
Analyst II
Series C, Media & Tech Company
Learn more
Some Requirements:
  • Experience with tools like Google Analytics, GTM, Big Query, Data Studio etc.
  • Study complex, unstructured data sets using Big Query/ SQL or any other language.
  • Complete RCA behind business metrics related to funnels, web navigations, and device-wise data.
  • Work closely with Product, Marketing and Business stakeholders to share observations and inferences.
  • Work with Power BI-like tools to create real-time visuals and structured documentation.
Lead Business Analyst
Series E, Logistics Company
Learn more
Some Requirements:
  • Experience leading multiple projects and at least 3 resources.
  • Exposure to consumer-facing products (product org experience preferred).
  • Prior experience of working on any MLOps framework/platform
  • Strong technical background and ability to contribute to design and review.
  • Familiarity with our current or analogous analytics stack - Python / R + SQL + Excel / PPT, Colab Notebooks.
  • Exposure to PostgreSQL, DynamoDB, Aerospike, Python, Metabase, Docker, Git, Jenkins, AWS Lambda etc.
BA Team Lead
Public, Quick Commerce Company
Learn more
Some Requirements:

In this role you will work with the product team to design and execute experiments to validate hypotheses and measure the impact of product changes. You will also help define and monitor key performance indicators for commerce products. Along with this, you will identify opportunities for data-driven innovation and contribute to the development of new product features and capabilities.

You should have previous experience in data analysis tool stack, preferably in a product development environment, and have strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Data Science Manager
Series A, E-Commerce Company
Learn more
Some Requirements:
  • Bachelor's or Master’s degree in Computer Science, Statistics or Mathematics, or Information Systems.
  • Expert in different Machine Learning and Deep Learning modelling techniques and frameworks.
  • Prior experience of working on any MLOps framework/platform
  • Prior experience with tools like SQL, Excel/Google Sheets (pivot tables), and Tableau/Power BI/Looker.
  • Have a business mindset, identify risk situations and opportunities to generate creative solutions.
  • Effective communication skills (written and verbal) to communicate complicated models/ reports to management and other IT development partners.
Apply now
Coming soon

Looking for another domain?

Fill out this form below and we will keep you posted as new domains are added.

Thank you!
We will reach out to you on the quickest.
Oops! Something went wrong while submitting the form.
Close icon white

Register to get early access

The endorsement for data science professionals is still under construction. You'll be the first to know once we're live!

Thank you
We will reach out to you on the quickest
Oops! Something went wrong while submitting the form.