Venkatesh P

Data Scientist

https://www.opentalent.in/venkatesh-p-1

Aspiring Machine Learning Engineer | Data Scientist | Passionate about AI

chennai, Tamil Nadu, India

Key Strengths

Demonstrated interest and practical experience in various data science domains through personal projects, including semantic search, RAG systems, and medical diagnostics.
Proficiency in Python, a core language for Data Scientists, as evidenced by multiple project implementations.
Experience with Jupyter Notebooks, indicating familiarity with standard data science development environments.
Exposure to advanced topics like LLMs (Groq LLMs, Llama-3.1-70B), embedding techniques, and deep learning (LSTM, BLIP, CNN for image classification).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal exploration and self-directed learning in data science. The diversity of projects (NLP, computer vision, traditional ML for diagnostics) suggests a broad interest in the field. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects align well with a Data Scientist role, demonstrating a proactive approach to skill development.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The provided data focuses solely on technical projects and lacks information on collaboration, problem-solving approaches, or communication styles.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

paperlens

March 9, 2026 – Present

Semantic search engine for research papers — find papers by meaning, not keywords.

View Project

ticket_bot_llm

November 11, 2025 – November 12, 2025

Ticket Analysis Bot is an end-to-end Retrieval-Augmented Generation (RAG) system designed to process and analyze large-scale support ticket PDFs. It extracts, embeds, and indexes textual data from multi-megabyte PDFs, stores embeddings in ChromaDB, and uses Groq LLMs to generate summarized, human-readable insights.

View Project

Well.AI

March 13, 2025 – May 14, 2025

NASO tech internship (AI + React)

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Brain-Tumour-classification

November 28, 2024 – October 31, 2025

Brain-Tumour-classification — GitHub repository

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multiple-sclerosis

November 27, 2024 – January 19, 2025

multiple-sclerosis — GitHub repository

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textgen_LSTM

November 8, 2024 – May 14, 2025

textgen_LSTM — GitHub repository

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multiple_disease_pred_svm_rf

October 30, 2024 – November 12, 2024

multiple_disease_pred_svm_rf — GitHub repository

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image_caption_BLIP

September 16, 2024 – September 16, 2024

image_caption_BLIP — GitHub repository

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textgen_Reflection-Llama-3.1-70B

September 15, 2024 – September 15, 2024

textgen_Reflection-Llama-3.1-70B — GitHub repository

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diabeticsdiag_SVM

September 14, 2024 – November 12, 2024

diabeticsdiag_SVM — GitHub repository

View Project

Key Strengths

Demonstrated interest and practical experience in various data science domains through personal projects, including semantic search, RAG systems, and medical diagnostics.
Proficiency in Python, a core language for Data Scientists, as evidenced by multiple project implementations.
Experience with Jupyter Notebooks, indicating familiarity with standard data science development environments.
Exposure to advanced topics like LLMs (Groq LLMs, Llama-3.1-70B), embedding techniques, and deep learning (LSTM, BLIP, CNN for image classification).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Venkatesh P

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit