Saahil Kataria

Data Scientist

https://talent.gravityer.com/saahil-kataria

🤖 AI Geek | 🌐 LLM Enthusiast | 📚 NLP Explorer | 💻 Machine Learning Maven | 🧠 Deep Learning Enthusiast

Kolkata, West Bengal, India

Key Strengths

Demonstrated proficiency in various machine learning and deep learning techniques through personal projects.
Experience with large language models (LLMs) fine-tuning and application (BERT, LLaMA, Mistral, Qwen2-VL-OCR).
Practical experience with data processing and ETL pipelines using Spark and Airflow.
Familiarity with MLOps concepts like DVC for version control.
Strong foundation in Python for data science and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong interest in cutting-edge AI/ML topics, which aligns well with an innovative and research-driven culture. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit beyond technical alignment. The projects are diverse within the AI/ML domain, indicating a broad interest in different applications.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Simplified-ETL-Pipeline-using-Apache-Airflow-from-NewsAPI-and-into-MySQL

October 22, 2024 – October 22, 2024

Simplified-ETL-Pipeline-using-Apache-Airflow-from-NewsAPI-and-into-MySQL — GitHub repository

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Audio-Classification-on-Environmental-Sounds-by-analysing-Mel-Spectograms-with-CNN-

October 17, 2024 – October 17, 2024

Audio-Classification-on-Environmental-Sounds-by-analysing-Mel-Spectograms-with-CNN- — GitHub repository

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Implementing-Spark-Pipelines-for-Mobile-Usage-and-Behavior-Analytics-Leveraging-SparkSQL

October 8, 2024 – October 23, 2024

Implementing-Spark-Pipelines-for-Mobile-Usage-and-Behavior-Analytics-Leveraging-SparkSQL — GitHub repository

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Math-Problem-Solver-Using-Qwen2-VL-OCR

October 8, 2024 – October 8, 2024

Math-Problem-Solver-Using-Qwen2-VL-OCR — GitHub repository

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Landslide-Segmentation-Using-U-Net-and-Satellite-Imagery

October 7, 2024 – October 7, 2024

Landslide-Segmentation-Using-U-Net-and-Satellite-Imagery — GitHub repository

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Fine-Tuning-of-LLMs-for-Sequence-Classification-BERT-and-LLaMA-with-Soft-and-Hard-Prompting

October 7, 2024 – October 7, 2024

Fine-Tuning-of-LLMs-for-Sequence-Classification-BERT-and-LLaMA-with-Soft-and-Hard-Prompting — GitHub repository

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Smart-Crop-Disease-Detection-using-PL

September 25, 2024 – September 29, 2024

Smart-Crop-Disease-Detection-using-PL — GitHub repository

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DVC-Steel-Plate

September 20, 2024 – September 20, 2024

DVC-Steel-Plate — GitHub repository

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Multi-Agent-Code-Orchestrator-using-CrewAI

August 14, 2024 – September 8, 2024

Multi-Agent-Code-Orchestrator-using-CrewAI — GitHub repository

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FineTune-Mistral-using-DPO

February 9, 2024 – February 9, 2024

FineTune-Mistral-using-DPO — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in various machine learning and deep learning techniques through personal projects.
Experience with large language models (LLMs) fine-tuning and application (BERT, LLaMA, Mistral, Qwen2-VL-OCR).
Practical experience with data processing and ETL pipelines using Spark and Airflow.
Familiarity with MLOps concepts like DVC for version control.
Strong foundation in Python for data science and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Saahil Kataria

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit