Ash Inno

Data Scientist

https://talent.gravityer.com/ash-inno

Curious...☄️💬

Member since June 23, 2026

Key Strengths

Demonstrated interest in machine learning and data analysis through projects like 'Plant-Diseases-Detection', 'Stock-Prediction', and 'RAG-DeepSeek-Ollama'.
Experience with Python, a core language for Data Science.
Exposure to various tools and frameworks relevant to data science, such as Jupyter Notebook and Streamlit.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal, self-directed learning and development across diverse technical areas. While there's a clear interest in data science, the breadth of projects (e.g., macOS apps, API security) suggests a generalist profile rather than a focused data scientist, which might require alignment with a specific team culture. The lack of professional experience or team projects makes it difficult to assess collaboration or cultural integration.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

all-in

May 28, 2026 – Present

A macOS app that unifies WhatsApp, X, Instagram, Reddit, WeChat, Messenger, Telegram, Discord, Slack, LinkedIn, YouTube and TikTok — sandboxed sessions, native notifications, Brave-style adblock, and an LLM assistant.

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Codex-Claude-Collab

May 22, 2026 – Present

Codex-Claude-Collab — repository

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wechat-multi

May 16, 2026 – Present

Run multiple WeChat accounts side by side on macOS — menu bar app that clones WeChat.app with unique bundle IDs to bypass the singleton check.

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Automate-Polymarket-trade

April 29, 2026 – Present

Automate-Polymarket-trade — repository

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False-Data-Injection-Attacks-Detection-in-Smart-Grids-Using-PCNN-Based-Image-Transformation

April 18, 2025 – August 26, 2025

False-Data-Injection-Attacks-Detection-in-Smart-Grids-Using-PCNN-Based-Image-Transformation — repository

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RAG-DeepSeek-Ollama

January 24, 2025 – January 24, 2025

A Retrieval-Augmented Generation (RAG) system for PDF document analysis using DeepSeek-R1 and Ollama.

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APISecurityTester

November 21, 2024 – April 11, 2025

APISecurityTester — repository

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Plant-Diseases-Detection

May 16, 2024 – June 4, 2024

Plant-Diseases-Detection — repository

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ashinno

February 6, 2024 – February 19, 2024

ashinno — repository

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Stock-Prediction

March 9, 2023 – July 21, 2023

Forecasting stock prices is a challenging task that requires the analysis of large amounts of financial data. I present a Stock Forecast App that uses the Prophet library and Streamlit framework to predict the future price of a given stock.

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Key Strengths

Demonstrated interest in machine learning and data analysis through projects like 'Plant-Diseases-Detection', 'Stock-Prediction', and 'RAG-DeepSeek-Ollama'.
Experience with Python, a core language for Data Science.
Exposure to various tools and frameworks relevant to data science, such as Jupyter Notebook and Streamlit.

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.

Ash Inno

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit