Hello!

I'm Aviral Jain, a data science enthusiast focused on creating intelligent solutions that drive impact and change.

Currently seeking full-time opportunities!

Get in touch jainaviral898@gmail.com

Background

I am a 2023 graduate with a Dual Degree (B.Tech + M.Tech) from Indian Institute of Techonology (IIT) Kharagpur. and a specialisation in Artificial Intelligence and Machine Learning Applications. I have always been interested in applications of data science which has led me to pursue internships, and do a few research projects in the past related to deep learning in the fields like agriculture, weather prediction, medical imaging, etc.

When I'm not in front of a computer screen, you can find me vibing to hiphop music, wandering around with my camera, or crossing off another item on my bucket list.

Skills
Languages
  • C++
  • Python
  • Groovy
  • SQL
Libraries
  • pandas
  • sklearn
  • pyspark
  • dask
  • rapids (cuml/cudf)
Tools
  • Bash
  • Git
  • Jupyter
  • Postman
  • Mircosoft Office Suite
Design
  • Lightroom
  • Photoshop
  • Premiere Pro
  • Figma
  • Canva
Experience
Sep 2024 - Present
Data Scientist

Working with the hotels line of division on ML research based projects.

Python Learning to Rank Algorithms (L2R) Clustering Algorithms Big Data Processing
Aug 2023 - Aug 2024
Analyst

Worked on developing sophisticated pricing solutions using CPQ platforms, also worked with some LLMs.

PriceFX Groovy Git Excel
May - June 2022
Software Development Intern

Worked in an agile production environment for redesigning the Track & Trace Portal

Javascript React.JS Scuf UI Java Maven Docker
Feb - Apr 2022
Data Science Research Intern

Built predictions for pre-emptive caching of flight search data using Survival Analysis

Python sksurv Pandas Plotly
Feb 2022
Data Science Intern

Built an in-house address standardization API to clean-up rough addresses data

Python Flask GeoPy GoogleMaps API
May - Jun 2021
Growth Intern

Conducted primary research on large-scale healthcare firms to enable corporate tie-ups

skrapp.io Sheets Slides
View My Resume
Projects

Emulated the behaviour of a Agent Based Epidemic Simulation model, using inexpensive deep learning methods.

Python PyTorch Lightning Scikit Learn Plotly

Implemented a Data Driven Weather Prediction model using a spatial transformer-based U-NET to capture features of spatio-temporal weather data

Python Tensorflow Keras NetCDF4 Plotly

Second iteration of my personal website using Jekyll.

Jekyll HTML/CSS JavaScript Github Pages

Implemented and trained image detection models like Faster-RCNN, EfficientDet, YOLO to predict bounding boxes over wheat heads

Python PyTorch Keras PIL

Modeled the multi agent path finding problem for managing aerial and ground (obstacle-constrained) swarms for precision agriculture

Python

Built a data pre-processing pipeline for generating synthetic data and segmenting cell nuclei using ResUNet++ model, for identifying and classifying breast cancer.

Python PyTorch scipy Colab