Chandni Dewani

AI Researcher

London, England, United Kingdom3 yrs 9 mos experience

Key Highlights

Expert in developing predictive models for data-driven insights.
Proven track record in optimizing data processes for efficiency.
Strong mentorship experience fostering junior data scientists.

Stackforce AI infers this person is a Data Scientist with expertise in Data Engineering and Analytics across Retail and Logistics sectors.

Contact

Skills

Core Skills

Data EngineeringStakeholder ManagementMachine LearningData ScienceBusiness AnalyticsBusiness AnalysisData Analytics

Other Skills

A/B TestingAWSAd Hoc AnalysisAdvanced MathematicsAnalytical SkillsAnalytical SolutionsApache AirflowApache KafkaApplied Machine LearningBayesian statisticsBig DataBusiness AcumenBusiness InsightsBusiness Intelligence (BI)Business Process Improvement

About

As a data scientist, I’m driven by the challenge of turning raw data into actionable insights that can drive real-world impact. Over the past few years, I've had the privilege of working on diverse, high-impact projects, from building predictive models to designing systems that optimise processes for improved efficiency. What excites me most about this field is the constant opportunity to innovate and solve complex problems using data. I have recently completed MSc in Data Science from the University of Manchester, and I'm seeking opportunities to leverage my technical skills and business acumen to drive data-informed decision-making and create tangible value for organisations.

Experience

3 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

1 yr

Current Experience

Remitly

Associate Data Analyst

Jun 2025 – Present · 1 yr · London Area, United Kingdom · Hybrid

Eatclub brands (formerly box8)

3 roles

Senior Data Scientist

Jul 2022 – Jul 2023 · 1 yr · Bengaluru, Karnataka, India

Spearheaded the development and optimisation of scalable ETL pipelines using Airflow and Kafka, accelerating query performance by 70% and facilitating migration to an AWS-based data warehouse.
Delivered insights through a detailed presentation of the data warehouse project to key stakeholders from multiple departments, emphasising its strategic benefits and future potential.
Provided mentorship to junior data scientists, fostering growth through regular code reviews, scrum management, and tailored hands-on training.

ETL ToolsApache AirflowApache KafkaAWSStakeholder EngagementData Engineering+1

Data Scientist

Promoted

Jul 2021 – Jul 2022 · 1 yr · Bengaluru, Karnataka, India

Designed and implemented a machine learning pipeline for sales forecasting, utilising ensemble regression models and advanced feature engineering, achieving a 14% MAPE.
Led the creation of a dynamic inventory management system based on predictive analytics, cutting out-of-stock instances by 17% and minimising waste by 9%.
Developed a real-time order preparation prediction model that maintained an MAE of 3.4 minutes to optimise dispatch times.

Machine LearningPredictive ModelingRegression AnalysisData AnalysisData Science

Business Analyst

Sep 2020 – Jun 2021 · 9 mos · Bengaluru, Karnataka, India

Improved operational accuracy by addressing map-based discrepancies that impacted 1.2% of daily orders, identified through deep exploratory analysis.
Leveraged customer segmentation to execute personalised marketing strategies, increasing the daily conversion rate to 1.1%.
Played a key role in streamlining marketing efforts by driving engagement through targeted, data-driven approaches.

Data AnalysisCustomer SegmentationMarketing StrategiesBusiness AnalysisData Analytics

University of saskatchewan

Research Intern

May 2019 – Jul 2019 · 2 mos · Saskatoon, Saskatchewan, Canada

Worked on a project titled “Polymer brush stabilized silver nanoparticles for catalytic reduction of
organic dye pollutants” under the guidance of Prof. Lee Wilson, Department of Chemistry, University
of Saskatchewan, Canada.