Key accomplishments

Won hackathon with a data-driven manufacturing solution, reducing downtime and improving safety/efficiency.
Skills Developed: Excel, Python (Plotly) for impactful insights, presentation and pitch, and problem-solving.

A recent project, culminated in March 2023, focused on delving into human perceptions of AI-generated counterfactual statements within the large language modeling (LLM) BERT context. This endeavor involved meticulously curating a diverse dataset, crafting a user-friendly web interface through Python’s Flask framework, and conducting comprehensive human evaluations, emphasizing key metrics like understandability, credibility, and relevance. Upholding ethical considerations throughout, I harnessed PyTorch to develop a language model for generating counterfactuals, extracting invaluable insights. This experience underlines my proficiency in data science, NLP, and ethical AI implementation.

Led a team of 5 in designing a scalable data pipeline architecture for a wind engineering product, growing daily active users from 0 to 100,000. Leveraged R and RShiny to create interactive dashboards, presenting complex satellite data in a user-friendly manner. Played a key role in enhancing client satisfaction, achieving an 80% satisfaction rate for impactful data visualizations and demonstrating a passion for delivering high-quality insights.

Role 1
Co founder
Role 2
Ai engineer
Test Score
AI, Machine learning, Data Science
73%
B2b software and services
part-time-16-hours-per-weekfull-time 40-hours-per-weekcontract
Any
Graduate
United Kingdom
Any
NA
Remote
Willing to work for equity and paid projects

Tags

AITechFintechTransportTech

Education

Experience

Expertise

Python
90
R
80
Machine Learning
85
Data Mining
85

Languages

English,
Hindi,
Gujarati

Honors & awards

  • 2023

    AMRC Hackathon Winner

    I got awarded for Winning the Hackathon for providing the best solution for reducing the manufacturing time with increased productivity.

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