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@lubainanavaid
Independent data analyst driving actionable business decisions through analytics.
I am an independent and self-motivated data enthusiast with a proven track record of leveraging analytical skills to drive insightful business decisions. My experience as a Data Analyst at Daraz (Alibaba Group) has equipped me with the ability to analyze customer behavior and optimize processes, resulting in significant improvements in operational efficiency.
During my tenure, I utilized SQL to analyze customer cancellations and returns, successfully reducing order cancellation frequency. I built and maintained dashboards for KPI analysis, automated manual processes, and implemented chatbot SOP automation, enhancing efficiency by 17%. My role also involved monitoring customer satisfaction and retention, leading to a 16% improvement in buyer experience.
Prior to my role at Daraz, I served as a Senior Content Marketing Executive at Logicose, where I developed effective content strategies that boosted client engagement by 40%. My educational background includes a Master’s in Computer Science with a specialization in Data Science and Machine Learning, equipping me with the technical skills necessary for advanced data analysis and modeling.
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Work history, roles, and key accomplishments
Daraz (Alibaba Group)
Jan 2024 - Mar 2025 (1 year 2 months)
Analyzed customer cancellation and returns using SQL queries to reduce order cancellation frequency. Built and maintained dashboards and pipelines for daily, weekly, and monthly business KPI analysis, automating manual processes to improve efficiency by 30%. Monitored customer service agent achievements and assessed new buyer experience to improve retention by 16%.
Logicose
Nov 2021 - Dec 2023 (2 years 1 month)
Devised and implemented effective content strategies to improve SEO performance, organic search, and page rank for clients. Crafted compelling, SEO-optimized content across various niches, increasing client engagement by 40% and driving a 25% rise in website traffic. Conducted thorough market research and competitive analysis to identify content gaps and developed comprehensive content calendars.
Degrees, certifications, and relevant coursework
Masters in Computer Science, Data Science and Machine Learning
Specialized in Data Science and Machine Learning. Developed predictive, recognition, and generative models using classification, regression, neural networks, and natural language processing. Utilized SQL and NoSQL databases such as Oracle, MongoDB, HBase, and Redis for big data querying.
Bachelors of Business Administration, Marketing & Finance
Specialized in Marketing & Finance. Built sales prediction models using regression and developed financial models for risk management and forecasting. Analyzed branding and sales strategies for major local brands, formulating solutions to identified shortcomings.
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