Geetika Batra

AI Researcher

Gurugram, Haryana, India4 yrs 6 mos experience

Highly Stable

Key Highlights

Led strategies resulting in 10% customer retention increase.
Automated processes, reducing workload by 35%.
Developed predictive models for inventory management.

Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Data Analysis for Retail and Enterprise solutions.

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Skills

Core Skills

Business AnalysisData VisualizationData AnalysisMachine Learning

Other Skills

Business PlanningBusiness StrategyComputer VisionData MiningDeep LearningExploratory Data AnalysisIBM Db2Microsoft AzureMicrosoft Power BINatural Language Processing (NLP)PySparkPython (Programming Language)RDBMSRasaSQL

About

Experience in Applied methodologies, Machine Learning, PowerBI, NLP, GenAI. Proficient in statistical analysis, data visualization, and predictive modeling for business decision making. Skilled in extracting meaningful patterns from complex datasets and optimizing data retrieval queries to enhance efficiency using big data technologies like PySpark.

Experience

Dunnhumby

Applied Data Scientist

Oct 2024 – Present · 1 yr 5 mos · Gurugram, Haryana, India

Led campaign strategies in customer engagement for one of the biggest US - Retail Client , enhanced their offer pool recommendations , gap analysis and increase in loyalty retention resulting 10% increase in yearly customer retention
Driving their $5M sales uplift and achieving 2.5x sales to cost ratio (SCR) , led to significant contribution in revenue growth.
Automated / optimised the process flow, reducing 35% manual workload and increasing operational/performance efficiency.

PySparkBusiness AnalysisSQLData VisualizationData Analysis

Ibm

Data Scientist

Sep 2021 – Oct 2024 · 3 yrs 1 mo

Role and responsibilities involves using Python, Data Processing and Machine Learning tools for Data Science workflows. I collaborate with cross functional teams, Reporting to Business Stakeholders.
Collaborated on Azure Micro Services to optimize maintenance strategies and driving costs, Building Github workflows for purging out unwanted data to unload databases.
Delivered many complex, end to end solutions using Data Frames dealing with structured & unstructured data including automation, Data Cleaning and Manipulation. With this integration, the maintenance cost of the product is expected to decrease and the application failure time will be reduced.
worked on RDBMS systems also to set the triage on Azure pipelines for smooth flow and for purging activities.
2)Data Scientist at IBM
spearheaded a revenue forecasting and predictive analytics outcomes with provided historical data
Developed and deployed predictive ML models for Inventory forecast management
Integrated the models with pipelines and prepare analytical dashboards giving insights of stock management at different phases.