Engineering @ Accenture | IIT Jodhpur | Racing against e/acc..
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
@accenture
Data Scientist
June 12, 2026 – Present
portfolio
April 12, 2026 – Present
Just another time-killing activity.. trying to make a more sophisticated website
View Projectgallery
September 21, 2025 – September 21, 2025
An archive of small-scale, fun projects I have worked on
View Projectgraphite
September 6, 2025 – Present
LangChain, LangGraph, Autogen, CrewAI and all things Agents
View Projecttorch-datasets
August 4, 2025 – Present
One toolkit for all your PyTorch data loading needs. Still cooking — stay tuned!
View ProjectKDSH2025
June 11, 2025 – June 11, 2025
Top-20 ranked submission to the Pathway PS of Kharagpur Data Science Hackathon 2025
View ProjectGNN
January 22, 2025 – January 22, 2025
Implementation and use of Graph Neural Networks for Image Classification
View ProjectVeriGen
May 31, 2024 – Present
This is an attempt to fine tune SOTA Large Language Models so as to generate Verilog (VHDL) programmes, detect syntax, logic and human errors in codes and rectify them.
View ProjectTuna-tuner
May 16, 2024 – June 14, 2024
Experimenting with Parameter Efficient Fine Tuning (PEFT) methods like LoRA, QLoRA to finetune LLMs
View ProjectCogNight
May 31, 2023 – February 10, 2024
Predicting the optimal sleep required using smartwatch data
View ProjectMachine-Learning-Implementations
May 18, 2023 – May 29, 2024
Contains scratch implementations of some popular Machine Learning & Deep Learning algorithms in Python
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects and self-directed learning in the data science domain. The diversity of projects, from LLM fine-tuning to GNNs and predictive modeling, indicates a broad interest within the field. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative professional environment. The candidate's experience level is listed as 0, but they have a future role as a Data Scientist at Accenture, which suggests potential for professional growth and alignment with industry practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.