Rumaisa Mansoor

Experience

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  National University of Computer and Emerging Sciences

  Aug 2019 - Dec 2019

  Teacher Assistant
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  Studypool

  May 2020 - Jul 2020

  Content Writer
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  Afiniti

  Jul 2020 - Aug 2020

  Software Quality Assurance Intern
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  Interns Pakistan

  Aug 2020 - Sept 2020

  Internee : Front-end Developer
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  Psyda

  Aug 2020 - Sept 2020

  Data Science Intern

  - Exploratory Data Analysis: Applied extensive EDA on huge dataset to study the patterns within data. learnt to find correlation, imputation techniques, data distribution, data visualization using matplotlib and seaborn. - Natural Language Processing: Built a complaint classifier using NLP models. Handled huge dataset with class imbalance on google colab. Found insights within the data to generate data driven decisions

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  Vinn Corp

  Dec 2020 - Sept 2021

  Sentiment Analysis:- Created word embeddings using fastext unsupervised model to transform the words into vectors.- Built a Bi-lingual neural network to segment roman urdu instances into sentiments using created embeddings.- Predicting English sentiments with 85% accuracy, Roman Urdu with 72% accuracy.- Deploying the model on AWS instance for real-time classification.Custom Intent Classification:- Integrated zero-shot classification model by hugging face, to classify the instance into custom intents.- Analyzing the output to find reasonable amount of intents being catered at one time. - Deploying the model on AWS for real-time classification. Show less

  • Associate Software Engineer

    Nov 2020 - Sept 2021

  • Social Artificial Intelligence intern

    Dec 2020 - Mar 2021
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  Astera Software

  Mar 2021 - Jul 2021

  Campus Ambassador
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  Bagallery

  Sept 2021 - Jan 2023

  Data Scientist

  Inventory Optimization:- Finding top performing SKUs and their rate of moving. - Potential Sale loss because of the SKUs being out of stock.- Predicting SKU inventory to cater customer demand based on statistical approach.- Finding dead/slow moving SKUs to clear the dead stock in inventory,Customer Segmentation: - Studied the customer buying pattern on e-commerce store, analyzing customer growth over demographics, monetary bifurcation, customer preferences. - Creating customer chunks based on different parameters, and targeting them through campaigns via CRM and media ads. It resulted in greater ROI, reduced the cash burn on ads.Sales Funnel Channel:- Analyzing customer traffic through different mediums, investment vs. return to check customer engagement through different channels. Bounce rate/avg session time for each medium to bifurcate customers behaviors through channels. Web Analytics:- Finding top hours of website traffic to push notifications and CRM for greater return.- Targeting active abandoned cart audience and pushing them through CRM/ads.- Finding top-landing pages and most searched product and notifying category to have enough inventory.- Customer journey mappings to analyze how customers interact and reach the end goal. Show less

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  Foodpanda

  Jan 2023 - now

  AM-Data Analytics