Sheetal Pandey
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolSheetal Pandey is an analytics-driven software professional based in Bengaluru with about five years of experience across analytics, AI, and software development. She has worked on social listening and brand monitoring at IQVIA and now supports decision analytics at ZS, bringing domain expertise in pharmaceutical insights and digital patient journeys. Her GitHub contributions show hands-on experience implementing algorithms and ML projects—building Keras/TensorFlow models for digit recognition and mask detection and integrating them into user-facing GUIs. Comfortable switching between coding, analytics, SEO, and content, she combines technical breadth with a creative streak in content and art, making her adept at translating data insights into actionable storytelling. Open to roles in analytics and IT, she offers a blend of practical ML experience and client-facing reporting skills.
5 years of coding experience
Bachelor of Technology - BTech, Electronics and Communication Engineering, 8.98 CGPA, Bachelor of Technology - BTech, Electronics and Communication Engineering, 8.98 CGPA at Academy of TechnologySenior Secondary, Senior Secondary at Delhi Public School, Ranchi
English, Hindi
Github Skills (18)
algorithms10
python10
machine-learning10
data-structure10
keras10
deeplearning-ai10
deep-learning10
tensorflow10
data-structures10
faster-rcnn9
linked-list9
mnist9
mask-rcnn9
recursion9
computer-vision9
Programming languages (10)
Github contributions (5)
ashishsahu1/ML-ProjectYard
Mar 2021 - Mar 2021
This repo consists of multiple machine learning based projects with frontend
Role in this project:
ML Engineer
ML EngineerContributions:23 commits, 4 PRs, 4 comments in 1 day
Contributions summary:Sheetal contributed significantly to machine learning projects within the repository. Their work focused on building and training models for handwritten digit recognition and face mask detection, utilizing Keras and TensorFlow. The user implemented the model architecture, trained it on datasets, and integrated the model into a GUI for the digit recognizer. Additionally, the user added the dataset for training and testing.
nlppythondeep-learningdjangoflask
codezoned/ScriptsDump
Oct 2020 - Oct 2020
The biggest dump of scripts ever!
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:9 commits, 1 PR, 5 comments in 2 days
Contributions summary:Sheetal primarily contributes by implementing and updating Python code examples focusing on algorithms and data structures. These contributions cover sorting algorithms, searching techniques, and the implementation of a circular linked list. Furthermore, they introduce a recursive search implementation and update code comments for improved clarity.
golangpythonbiggestevermachine-learning
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