Imran Said
Graduate Assistant at Saint Louis University- Claim this Profile
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Bio
Credentials
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Complete Guide to TensorFlow for Deep Learning with Python
UdemyDec, 2022- Oct, 2024 -
PH527x: Principles, Statistical and Computational Tools for Reproducible Data Science
HarvardX - An Online Learning Initiative by Harvard University through edXJul, 2020- Oct, 2024 -
PH526x: Using Python for Research
HarvardX - An Online Learning Initiative by Harvard University through edXJun, 2020- Oct, 2024 -
Creating New BigQuery Datasets and Visualizing Insights
CourseraNov, 2019- Oct, 2024 -
Google Cloud Big Data and Machine Learning Fundamentals
CourseraAug, 2019- Oct, 2024 -
Exploring and Preparing your Data with BigQuery
courseJul, 2019- Oct, 2024
Experience
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Graduate Assistant
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Jan 2022 - Present
– Developed a production-ready desktop software that visualizes, manipulates and analyzes UAV drone imagery and satellite imagery using Rasterio, GDAL, Python and PyQT – Integrated Machine Learning and Deep Learning models into the software to make predictions on crop yield, plant disease classification and seed composition using scikit-learn and Tensorflow – Integrated libraries that calculate spectral vegetation indices, stack multispectral bands or hyperspectral bands and visualize with an interactive map using Ipyleaflet. Show less
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IT Associate
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Dec 2017 - Present
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Software Developer
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2017 - Dec 2022
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Dukaree
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Nairobi, Kenya
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Data Engineer
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Aug 2020 - Jan 2022
– Initiated and developed production-ready stream pipeline on GCP using Bigquery API to allow real-time analytics of sales data for clients. – Developed a batch pipeline for MySQL queries from Apache hosted servers to GCP using Pub/Sub, Dataflow and Bigquery to generate historical client reports and then visualize the data using Microsoft Power BI. – Researched and developed a customer conversion and customer attrition report in our SFA system that allowed clients to improve conversions in the first month by up to 37% and reduce attrition by up to 26% – Implemented a multivariate time series forecasting model for consumer product demand and product distribution prediction using LSTM allowing clients to plan their production and distribution cycles. Show less
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Mindtrac Limited
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Nairobi
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Application Consultant
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Jan 2019 - Aug 2020
– Led a team of four to design, develop and deploy web applications for various tiers of the supply chain using MySQL, PHP and Laravel improving client sales by upto 41% in their first year. – Optimized MySQL tables and queries and improving app speed for upto 4 times faster speeds. – Coordinated with the Chief Technology Officer to add new features to existing enterprise software to improve user experience and diversify functionality. – Led a team of four to design, develop and deploy web applications for various tiers of the supply chain using MySQL, PHP and Laravel improving client sales by upto 41% in their first year. – Optimized MySQL tables and queries and improving app speed for upto 4 times faster speeds. – Coordinated with the Chief Technology Officer to add new features to existing enterprise software to improve user experience and diversify functionality.
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Education
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Saint Louis University
Master of Science - MS, Artificial Intelligence -
Jomo Kenyatta University of Agriculture and Technology