AI, Data & Analytics

Arjun Mehta

Data Scientist

Experimentation, forecasting and interpretable decision support.

Jaipur, India

Fictional sample · Not a verified candidate record

Professional profile

Data Scientist with an illustrative 11-year career focused on experimentation, forecasting and interpretable decision support. Brings together python, sql and statistical modelling with practical delivery experience. Selected work below shows the problem, my contribution and the handover material rather than unsupported performance claims.

Professional experience

Jul 2022 - Present

Data Scientist

Asterline Applied Intelligence Lab

Responsible for scoped experimentation, forecasting and interpretable decision support work, coordinating the relevant reviewers and delivery partners.

  • Defined comparable cohorts, checked missingness and separated observed associations from causal claims.
  • Compared seasonal baselines with feature-based forecasts using time-ordered validation.
  • Maintained deployment limits and made unresolved questions visible before handover.
Jul 2018 - Jun 2022

Data Scientist

Northmere Applied Intelligence Lab

Developed hands-on experience across experimentation, forecasting and interpretable decision support, with a defined review process.

  • Used python and experiment design on assigned work; recorded decisions so colleagues could understand the approach.
  • Prepared forecast evaluation and planning notes and incorporated specialist feedback before closing the workstream.
Jul 2015 - Jun 2018

Junior Data Specialist

Cedarfield Applied Intelligence Lab

Built foundations through supported assignments, observation and practical feedback.

  • Assisted with sql and data visualisation, checking work with an experienced reviewer.
  • Kept organised work records and developed clear handover habits through supervised practice.
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Arjun MehtaData Scientist / Continued

Core capabilities

01Python02SQL03Statistical modelling04Experiment design05Data visualisation06Causal reasoning

Experiments & evaluations

01Dataset provenance

Retention cohort study

The challenge

A single retention average obscured product differences.

My contribution

Defined comparable cohorts, checked missingness and separated observed associations from causal claims.

Deliverable Analysis notebook and uncertainty brief

02Evaluation protocol

Stock demand forecast

The challenge

Promotional demand distorted replenishment estimates.

My contribution

Compared seasonal baselines with feature-based forecasts using time-ordered validation.

Deliverable Forecast evaluation and planning notes

Education

2013 - 2015

M.Sc in Data Science

Asterbridge Institute of Professional Studies

Specialist study with a practice focus on python and sql.

2009 - 2013

Bachelor of Technology / Science in the relevant discipline

Cedarhaven College of Applied Studies

Foundation study, practical assignments and supervised learning. Fictional institution and qualification record.

Continuing development

2024

Python - advanced practice workshop

Scenario exercises and peer review in experimentation, forecasting and interpretable decision support.

2025

Experiment design - reflective practice seminar

Applied learning reviewed through a bounded example and a written reflection.

Practice notes

Work focus
Experimentation, forecasting and interpretable decision support
Evidence status
Illustrative work descriptions; no source artefacts attached
Contribution scope
Owned the stated workstream, not all team outcomes

Languages

English - professional working / Hindi - professional working