Hitesh Taneja
AKA. Happy :)
I’m a postgraduate Computer Science student based in London, specializing in Machine Learning and Artificial Intelligence. Currently, I’m delving deep into my MSc project, “Cluster Interpretation via Dimensionality Reduction,” exploring innovative ways to make sense of complex data.
Originally from India, I’ve always been passionate about using technology to create useful, impactful solutions for the internet. Whether it’s data analysis, web development, or software engineering, I love turning raw data into insights that can change the world.
When I’m not immersed in research or coding, you can find me sharing my experiences and learnings on Medium, beatboxing, or exploring the outdoors through traveling and hiking. I also enjoy spending quality time with family and friends, listening to music, and diving into self-help books.
Welcome to my digital space—a place where data meets creativity, and every project is a step toward making a positive impact.
- LinkedIn @hiteshtanejaa (opens in a new tab)
- Twitter @hiteshtanejaa (opens in a new tab)
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- Scaler @Hitesh Taneja (opens in a new tab)
- Email hiteshtanejaa@gmail.com
Work
So if are till here I think you are interested to know what I WORK on:
What I've been working on
I am diving into the intricacies of unsupervised learning by focusing on cluster interpretation via dimensionality reduction. The project explores the challenge of making sense of high-dimensional data by projecting it into a lower-dimensional space without losing the core characteristics that define distinct clusters. I am developing novel methodologies that not only preserve the structure of the data but also provide intuitive visual representations for interpretation. By leveraging advanced techniques such as t-SNE and UMAP alongside traditional approaches like PCA, I aim to uncover hidden patterns that conventional clustering methods might miss.
This work is especially crucial in applications where understanding the underlying data distribution can lead to better decision-making, such as in customer segmentation, anomaly detection, and bioinformatics. The research involves rigorous experiments on diverse datasets, rigorous evaluation metrics, and iterative refinement to ensure that the reduced dimensions accurately reflect the intrinsic relationships within the data.
Ultimately, this project seeks to bridge the gap between complex data analytics and human interpretability, enabling data scientists and stakeholders to derive actionable insights with greater clarity. It’s an exciting journey of blending theory with practical solutions that demonstrate the power of artificial intelligence in transforming raw data into meaningful, visual narratives.
I'm working on a critical irish financial institute project with Accenture. I am in short edits pythons/PySpark scripts, write SQL queries, open files in Excel do operations on them and also automate manual effort jobs with SSIS packages and scheduling them on Autosys.
In 2022, I started with my first big task in the project which was Anomaly Detection. It gave me a idea of few outlier detecting techniques, and indeed the collective efforts of me and colleagues, anomaly code was born LOL.
Then Slow and gradually, I took the whole responsibility of the Autosys and SSIS Package development, testing and deployment. This taught me how to take ownership and make quick decision when face any job failure.
I also like to share what I learned with my network, I publish articles on Medium and Linkedin, and soon I am thinking to collaborate with people to start with a research paper.
Prior, I was working as a Tutor at StudyPool and also as Freelance Web Developer. I worked with 3 small business to help them bring their business online.
if you ever liked working with me or my work or just me being me
© Made with ❤️ Hitesh Taneja.you can consider buying me a coffee