Ayesha Gupta

Data Scientist

Delhi, India4 yrs 7 mos experience
AI EnabledHighly Stable

Key Highlights

  • 5+ years of experience in data-driven solutions.
  • Expertise in machine learning and predictive analytics.
  • Proven track record in demand forecasting and market analysis.
Stackforce AI infers this person is a Data Scientist with expertise in analytics and machine learning across retail and FMCG sectors.

Contact

Skills

Core Skills

Demand ForecastingData AnalyticsMachine LearningPredictive Analytics

Other Skills

ARIMAAnalyticsBig DataBusiness InsightsBusiness UnderstandingCC++Data AnalysisData ScienceData VisualizationData WranglingDecision TreesExploratory Data AnalysisFeature EngineeringGenerative AI

About

Data scientist with 5+ years of hands-on experience in providing data driven solution across retail, FMCG and consulting domains. Skilled in customer engagement, store segmentation, demand forecasting and market mix modelling - with expertise in machine learning, time series and predictive analytics. Experienced in building end-to-end data science solutions that improve accuracy and drive business growth.

Experience

4 yrs 7 mos
Total Experience
1 yr 6 mos
Average Tenure
--
Current Experience

Reckitt

Data Science & Analytics Assistant Manager

Jan 2025Jun 2025 · 5 mos · Gurugram, Haryana, India · On-site

  • • Provided data-driven insights and dashboards to support Reckitt’s sales team, analyzing trends to guide strategic decisions

Accenture strategy & consulting

AI Decision Science Consultant

Mar 2024Jan 2025 · 10 mos · Gurugram, Haryana, India · Hybrid

  • > US Beer Industry Trend Analysis :
  • Created a 3-year monthly sales forecast for the beer industry, segmented by region within the United States, to analyze trends and support strategic decision-making. (Algorithm: SARIMAX, Tech Stack: Microsoft Databricks)
  • > Store Segmentation & Profiling :
  • A tool that supports grouping stores in a chain by segments, pack size , competitive density & demographic variables in order to support category management teams with distribution and assortment optimization opportunities. (Algorithm : Hierarchical clustering , Tech Stack : Microsoft Databricks)
Demand ForecastingData AnalyticsMachine LearningMicrosoft Databricks

Ey

2 roles

Consultant

Promoted

Jul 2021Mar 2024 · 2 yrs 8 mos

  • > Demand Forecasting of Consumer Goods:
  • Implementation of Machine Learning & Time Series Predictive Models to automate demand planning process for European, South American & South Asian markets for a leading global FMCG. (Algorithms: Random Forest, XGBoost, Lasso, ARIMA, Moving Average, Exponential Smoothening, BSTS, UCM)
  • Maintaining a consistent weekly forecast accuracy bump of 5% over demand planners and restricting the forecast bias within +-10%.
  • Feature engineering to implement cross-product, cross-customer cannibalization & disruptive event handling (e.g., Covid)
  • Deployment of end - to - end ML solution from EDA, Modelling to Production environment.
  • Represented the firm in an Integrated Design Workshop in Philippines, 2023.
  • > Price Elasticity Modelling for Strategic Business Decisions:
  • Identify elastic & inelastic products, empowering clients to optimize their pricing strategies. (Algorithms: Linear Regression, Ridge, Lasso, Elastic Net)
Machine LearningTime SeriesPredictive ModelsFeature EngineeringPredictive Analytics

Associate Consultant

Oct 2020Jun 2021 · 8 mos

  • Model optimization for Demand Forecasting by collaborating with clients & implementing business key takeaways
  • Automation of weekly KPIs calculation to generate dashboard for week on week tracking of production

Chegg inc.

Subject Matter Expert

Sep 2020Oct 2020 · 1 mo

  • Chegg expert specializing in Statistics, delivered clear and effective solutions to aid students in their academic endeavors.

Department for promotion of industry and internal trade

Internship

Jun 2019Jul 2019 · 1 mo · New Delhi Area, India

  • Worked on the Wholesale Price Index and Annual Survey of Industries data for 2015-16 and 2016-17 to create a preliminary item basket for the revised Wholesale Price Index, India
  • Worked on data issues persistent in Annual Survey of Industries focussing on pharmaceutical sector

Education

Delhi University

M.Sc. — Statistics

Jan 2018Jan 2020

Delhi University

B.Sc. — Statistics

Jan 2014Jan 2017

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