Hi, I'm

Kaushal Dabhi

ABOUT ME

Namaste 🙏 I’m a curious and passionate learner dedicated to making a meaningful impact through technology. Ever since childhood, I’ve been fascinated by how machines and technology shape our world. Growing up as a millennial, I witnessed the transformation of tech—from the fall of Napster, MySpace, and Yahoo Chat to the rise of LLMs, Blockchain, Neural Networks, and Generative AI. With a Master’s in Big Data & AI from Berlin University of Technology, I now work as a Data Scientist in the CTO department at Santander Bank. My deep interest in recommendation systems led me to dedicate my Master’s thesis to building a Hybrid Recommendation System that blends Content-Based, Collaborative Filtering, and Singular Value Decomposition (SVD) techniques. The goal? To create smarter, more personalized recommendations that enhance user experiences. Beyond my professional work, I actively volunteer with NGOs on various projects, striving to use technology for social good. Travel fuels my curiosity—I’ve explored 17 countries so far, constantly seeking new perspectives. When I’m not immersed in data or code, you’ll find me reading non-fiction, hiking up a mountain, or engaging in thought-provoking discussions about real-world problems and solutions.
I look forward to see you somewhere in real ❤

SKILLS

Python

AWS

Data Streaming

Machine Learning

ELT

MLOps

TIMELINE

  • Data Scientist at Santander Bank, Düsseldorf.
  • Data Science Working Student at Volue, Norway.(Remotely from Berlin)
  • Research and Development Intern at energenious.eu, Berlin
  • M.S in Artificial Intelligence & Big Data from Berlin University of Applied Sciences.
  • Product Engineer at Sanctum Networks Ltd, Bengaluru
  • Software Engineering intern at Sanctum Networks, Bengaluru.
  • B.Tech in Computer Engineering from Indus University, Ahmedabad.

Some of my Projects

Project 1
Machine Learning Recomendation System

A system that automatically suggests content, products or serivces which should interest customers based on their preferences

Project 2
Pose Detection

Computer Vision Project to detect real time pose, joint angle calculations,and static image processing

Project 3
AI Travel Itinerary Generator

A simple Streamlit app that lets users generate personalized travel itineraries based on their destination, duration, and interests.

Project 4
Real-Time Weather Monitoring System using Apache Kafka, Python & Streamlit

This project is a real-time Weather Monitoring System that streams live weather data from OpenWeatherMap using Kafka, processes and stores it using Python & PostgreSQL, and visualizes the results on a Streamlit dashboard.

Project 5
Sentiment-Analysis-of-Twitter-Data

Project for automatically extracting emotions and sentiments in text.It allows us to track attitudes and feelings of people on the web

Project 6
AI Resume Parser & Job Matcher (AWS + NLP)

This project extracts text from resumes (PDF), identifies key entities using Amazon Comprehend, and matches them with relevant job descriptions using semantic similarity (BERT)

Bookshelf

  • Artificial Intelligence: A Modern Approach – Stuart Russell & Peter Norvig
  • Pattern Recognition and Machine Learning – Christopher Bishop
  • Deep Learning – Ian Goodfellow, Yoshua Bengio, Aaron Courville
  • The Innovators – Walter Isaacson
  • Life 3.0: Being Human in the Age of Artificial Intelligence – Max Tegmark
  • AI Superpowers: China, Silicon Valley, and the New World Order – Kai-Fu Lee
  • The Singularity Is Near – Ray Kurzweil
  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow – Aurélien Géron
  • Elon Musk – Walter Isaacson (or Ashlee Vance's version)
  • Steve Jobs - Walter Isaacson
  • Build – Tony Fadell (iPod & Nest Creator)
  • The Lean Startup - Eric Ries
  • Zero to One – Peter Thiel with Blake Masters
  • The Hard Thing About Hard Things – Ben Horowitz
  • Good Strategy Bad Strategy– Richard Rumelt
  • Measure What Matters – John Doerr
  • Hooked: How to Build Habit-Forming Products – Nir Eyal
  • Start with Why – Simon Sinek
  • Blitzscaling – Reid Hoffman (LinkedIn co-founder)
  • Bhagavad Gita- Eknath Easwaran translation
  • Autobiography of a Yogi– Paramahansa Yogananda
  • The Courage to Be Disliked- Fumitake Koga and Ichiro Kishimi
  • Atomic Habits– James Clear
  • The Power of Now– Eckhart Tolle
  • Can’t Hurt Me– David Goggins
  • Mindset: The New Psychology of Success– Carol Dweck
  • Meditations- Marcus Aurelius
  • Man's Search for Meaning- Viktor Frankl
  • Who Moved My Cheese?- Spencer Johnson

Favorite Collections

  • Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
  • Unlocking the Mysteries of Mind & Consciousness – Neuroscientist David Eagleman with Sadhguru
  • How To BRAINWASH Yourself For Success & Destroy NEGATIVE THOUGHTS! | Dr. Joe Dispenza
  • The Tim Ferriss Show
  • The Daily Stoic – Ryan Holiday
  • The Rich Roll Podcast
  • Andrew Hubermann Podcast – Ray Kurzweil
  • My First Million – Sam Parr & Shaan Puri
  • How I Built This – Guy Raz (NPR)
  • The Social Network (2010)
  • The Theory of Everything (2014)
  • Pirates of Silicon Valley (TV Movie 1999)
  • The Godfather Trilogy (1972–1990) – Francis Ford Coppola
  • Forrest Gump (1994) – Robert Zemeckis
  • Jobs (2013)
  • A Beautiful Mind (2001)
  • Dead Poets Society (1989)
  • Into the Wild (2007)
  • The Shawshank Redemption (1994)
  • Good Will Hunting (1997)
  • The Pursuit of Happyness (2006)
  • The Secret Life of Walter Mitty (2013)
  • Her (2013)
  • Joker (2019)
  • The Imitation Game (2014)
  • Scam 1992
  • Peaky Blinders
  • Silicon Valley
  • TVF Pitchers
  • Mr Robot
  • StartUp
  • Halt and Catch Fire
  • The Playlist
  • The IT Crowd
  • The Cubicles
  • Narcos
  • Breaking Bad
  • Suits
  • Jack Ryan
  • The Billion Dollar Code
  • Kota Factory
  • Chernobyl

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