VivekĀ Palaniappan
Technical Executive at LifeCell
Chennai, Tamil Nadu, India
Summary
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Rockstarš
Top SchoolVivek Palaniappan is a Technical Executive based in Chennai with seven years of experience at the intersection of engineering, biotech and applied data science. With an academic foundation in biotechnology and an MSc in Biosciences, he leverages domain knowledge to translate complex biological and business problems into practical technical solutions. At LifeCell he combines operational technical leadership with hands-on development, focusing on data-driven product improvements. On GitHub he has applied both unsupervised and supervised learning to stock prediction, contributing sentiment analysis, data scrubbing and model evaluation enhancements that demonstrate a pragmatic approach to ML pipelines. His work reflects a keen interest in where finance, engineering and AI converge, and an ability to improve model performance through careful feature engineering and architecture tweaks. Colleagues would describe him as a problem-solver who brings scientific rigor to engineering initiatives beyond the obvious.
7 years of coding experience
Msc, Biosciences, Msc, Biosciences at Sheffield Hallam UniversityB.Tech, Biotechnology, B.Tech, Biotechnology at SRM University
Github Skills (11)
pandas10
keras10
machine-learning10
tensorflow10
python10
data-analysis10
textblob9
sentiment-analysis9
data-preprocessing8
scikit-learn8
scikit8
Programming languages (2)
Github contributions (5)
VivekPa/AIAlpha
Oct 2018 - Aug 2019
Use unsupervised and supervised learning to predict stocks
Role in this project:
Data Scientist
Data ScientistContributions:40 commits, 2 PRs, 35 pushes in 10 months
Contributions summary:Vivek primarily contributed to the development and enhancement of a stock price prediction project. Their work involved implementing news and twitter scrubbing processes, and integrating sentiment analysis to improve model accuracy. They made changes to existing code, including the addition of model evaluation metrics. The user also refined the model architecture and implemented performance improvements to enhance the overall effectiveness of the prediction.
supervised-learningpythonsupervisedstock-tradingdata-science
VivekPa/EngineerQuant
Dec 2020 - Oct 2022
Code and notebooks for my blog articles
Contributions:7 commits, 4 PRs, 5 pushes in 1 year 10 months
my-blogpythondata-sciencejupyter-notebookmachine-learning
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