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ALEENA BABY, Retail Assistant

ALEENA BABY

Retail Assistant·Primark,

United Arab Emirates

Master's degree, Data Analytics

Work experience

Total years of experience: 6 years, 1 months

Retail Assistant

June 2023 - March 2026

Primark,

Manchester, United Kingdom

June 2023 - March 2026

Analyzed daily sales trends, stock movement, and demand patterns, improving inventory planning.
Monitored product performance and identified fast‑moving and slow‑moving SKUs, enabling optimized
stock allocation and clearance strategies, reducing overstock.
Supported stock audits and data validation, ensuring 98% accuracy in inventory reporting.
Forecasted stock requirements based on seasonal trends and sales data, reducing stockouts during
peak periods.
Leveraged data tracking to optimize product placement, increasing sales performance of targeted SKUs.
Tracked supplier lead times and stock replenishment efficiency, highlighting bottlenecks.
Generated weekly and monthly performance dashboards to track sales, inventory turnover, and
shrinkage.
Assisted in preparing reports for head office on stock variances, returns, and demand forecasts.

Company industry:
Retail & Wholesale
Job role:
Sales

MEAN Stack Developer Intern

January 2022 - January 2022

Luminar Technolabs,

Cochin, India Remote

January 2022 - January 2022

Developed web applications using HTML5, JavaScript, Angular, and MongoDB, delivering scalable
solutions.
Designed backend systems and RESTful APIs, enabling seamless data flow between frontend and
backend.
Optimized MongoDB database performance, improving query efficiency and reducing data retrieval
time.
Liaised within Scrum teams to integrate user‑friendly UI with backend functionality, enhancing user
engagement.
Conducted code reviews, testing, and debugging and resolved technical issues to improve reliability.

Company industry:
IT Services

Data & Operations Analyst

November 2018 - December 2021

Geosminfarms Private Limited,

Bengaluru, India

November 2018 - December 2021

Utilized Excel and PowerBI with semantic models, PowerQuery, and DAX for KPI tracking, trend
analysis, and visualization of operational and supply chain metrics (OTIF, SLA compliance, cost per
order).
Conducted predictive analytics on order fulfillment, inventory turnover, and lead times to optimize
supply chain.
Employed DAX and advanced Excel for data analysis and reporting automation, reducing workload by
50%.
Analyzed customer behavior, product returns, and feedback using clustering, segmentation, and
sentiment analysis to inform product and UX strategies.
Leveraged SQL and PowerBI to extract and model large datasets from ERP, WMS, and E‑commerce
platforms.
Conducted A/B analysis on shipping options, fulfillment, and pricing strategies to improve customer
satisfaction.
Negotiated vendor contracts based on insights, achieving 30% cost reduction and generated
operational reports.
Integrated RESTful and SOAP APIs within the web application for 3PL, payment gateways, and CRM
systems.
Utilized Python (Pandas, NumPy) for ETL, data integration, and analytics across order and inventory
modules.
Collaborated with the team to support the development of a PHP‑based e‑commerce web application.
Conducted data quality assessments and implemented corrective measures to improve dataset
reliability.

Company industry:
Internet & E-commerce

Education

University ofSalford

November 2023

November 2023

Master's degree, Data Analytics

United Kingdom

Cochin University ofScience & Technology

June 2018

June 2018

Bachelor's degree, Electric And Communication Engineering

India

Skills

ANALYTICS

Intermediate

BUSINESS OPERATIONS

Intermediate

BUSINESS TO BUSINESS

Intermediate

COMPLEX PROBLEM SOLVING

Intermediate

CREATIVITY

Intermediate

DASHBOARD

Intermediate

DATA SCIENCE

Intermediate

LOGICAL REASONING

Intermediate

OPERATIONAL INTELLIGENCE

Intermediate

PYTHON PROGRAMMING LANGUAGE

Intermediate

Languages

English

Beginner

Hindi

Beginner

Malayalam

Beginner

Hobbies and interests

challenges.
Solving analytical puzzles
productivity.
Regular fitness activities to