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Aditya Paliwal

Data Engineer @ Telenet

Telenet

Biography

Data Engineer with 4+ years of experience in implementing and deploying end-to-end data pipelines in production environments.

  • ETL/ELT Pipelines: Expert in designing and setting up robust data pipelines in Python using libraries like Pandas, Polars, Dask, and PySpark.
  • Data Visualization: Hands-on experience in building insightful dashboards with Qlik Sense to empower business stakeholders with clean, actionable data.
  • API Development: Skilled in setting up REST and FastAPI calls for seamless data exposure to relevant stakeholders.
  • Cloud Computing: Familiar in cloud fundamentals with practical knowledge of AWS services (Lambda, S3, ECS, EC2, Cloudwatch) for scalable application deployment in cloud.

Career Goal: Passionate about combining my expertise in data engineering with cutting-edge machine learning and AI technologies. The goal is to create intelligent, data-driven products that leverage the power of cloud computing to deliver impactful, scalable solutions.

Interests

  • Data Engineering
  • Data Science
  • Cloud Computing
  • Data Insights
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Neural Networks

Education

  • Advanced Masters in AI

    KU Leuven, Belgium

  • Masters in Computer Science

    KU Leuven, Belgium

  • Bachelors in Computer Science

    Dr. APJ Abdul Kalam Technical University, India

Experience

 
 
 
 
 

Data Engineer

Telenet

Sep 2020 – Present Mechelen, Belgium
My responsibilities include maintaining and optimizing the data processng platform. Implementing, scheduling and monitoring the ETL tasks for data product deliveries
 
 
 
 
 

Master Thesis Intern

NXP Semiconductors

Feb 2020 – Aug 2020 Leuven, Belgium
Worked on a research project to investigate the best ML technique for an accurate Indoor Positioning System. Investigated the possibilities of using supervised vs semi-supervised learning techniques on positioning data.
 
 
 
 
 

Part-Time Employee

SoundTalks NV

Oct 2019 – Dec 2019 Leuven, Belgium
Worked as a part-time employee (20h per week) with the hardware testing team, my role was to report bugs in the hardware before and after assembly. Stock and Inventory Management, using Odoo, for the product assembly line was also part of my responsibility.
 
 
 
 
 

Summer Intern

NXP Semiconductors

Jul 2019 – Aug 2019 Leuven, Belgium
During this Internship, my responsibility was to build a basic model of an Indoor Positioning System based on RSSI values. During these six weeks, I modified the existing NXP applications for the advertisers and the scanner to make them work according to our scenario. After collecting the data, we trained the model on 15,000 rssi values collected from different locations in a room. At the end we achieved an accuracy upto 2 meters

Education

Advanced Masters In Artificial Intelligence

KU Leuven Sep 2021 – Jul 2022
Finished One year Advanced Masters degree in AI with specialization in Big Data

Masters In Computer Science

KU Leuven Sep 2018 – Jul 2023
Completed Computer Science Master Degree with specialization in Artificial Intelligence

Deep Learning Nanodegree Foundation

Udacity Mar 2017 – Jul 2017
Completed four months Deep Learning Nanodegree Foundation from Udacity, courses include: Simple Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNN), and Generative Adversarial Networks (GAN)

Bachelor in Technology

Dr. APJ Abdul Kalam Technical University Aug 2014 – Jun 2018
Four Year Computer Science Under Graduate Engineering Degree, courses included: Computer Programming©, Object Oriented Programming(C++, JAVA), Data Structures, Design And Analysis of Algorithms, Database Management System, Operating Systems, Computer Architecture, Artificial Intelligence, Cryptography and Network Security

Blog Posts

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All Tech Travel Life

🚀 Mastering Task Dependencies in Apache Airflow

Day 5 of “Master Apache Airflow in 15 Days” where, we explore how Airflow enables complex task dependencies, including …
Last updated on Oct 11, 2024 4 min read

🚀 Scheduling Our DAG in Airflow

Day 3 of “Master Apache Airflow in 15 Days” where, we will be exploring scheduling DAGs in Airflow using fixed intervals, …
Last updated on Oct 10, 2024 4 min read

🚀 Crafting Your First Real Airflow DAG

Day 2 of “Master Apache Airflow in 15 Days” where we will dive deeper into Airflow by writing our first workflow (DAG) and …
Last updated on Oct 9, 2024 4 min read

🚀 Introduction to Data Pipelines with Apache Airflow with Setup Guide

Day 1 of “Master Apache Airflow in 15 Days” where we will be learning the basics of Apache Airflow, why it’s …
Last updated on Oct 9, 2024 4 min read

Projects

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All Deep Learning Masters Others

Identification of patient deterioration by means of physical activity changes in patients with COPD using Fitbits

Completed this project as a part of my advanced master thesis at KU Leuven.

Comparison of Different Machine Learning Algorithms for an Efficient Bluetooth Low Energy Based Indoor Positioning System

Completed this project as a part of my master thesis (Industrial) at KU Leuven in collaboration with NXP Semiconductors.

Digital Secure Voting System

Completed this project as a part of my undergraduate final year thesis.

Face Generation using GANs

In this project, I used the Generative Adversarial Network to generate face images.

Generate TV Scripts using RNN

Generated scripts using recurrent neural network from “The Simpsons” TV show for 27 seasons.

Image Classification

Built a convolutional neural network that classified images from a dataset which consisted of images like airplanes, cats, dogs, cars …

Language Translator from English to French

Sequenced a model on a dataset that translated new sentences from English to French.

Simple Neural Network

Created a simple neural network that carried predictions based on a dataset of bike sharing.

Sudoku Solver

Implemented a Sudoku solver using “naked twins” and “diagonal Sudoku” techniques.

Sign Language Recognizer

Built a system that recognized words communicated through American Sign Language.

Building an Adversarial Search Agent

In this project I developed an adversarial search agent to play the game “Isolation”

Domain Independent Planner

Conducted a search algorithm comparison (BFS, DFS and A*) to find the optimal path for air cargo problems defined in PDDL.