Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various data science sub-fields like web scraping, sentiment analysis, and data visualization.
Project experience in machine learning model training and deployment (Flask-based Sentiment Analysis).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a breadth of interest in data science applications, from CSR data analysis to sentiment analysis and forecasting. The target role is 'Data Scientist', which aligns with the project themes. However, the experience level is 0, and the only listed professional experience is a future role starting in 2026, which suggests a lack of current professional experience. This limits the assessment of cultural fit in a professional setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Yash Ashok Shirsath

Data Scientist

https://www.opentalent.in/yash-ashok-shirsath

Sr Executive - IT (CBS)

Utkarsh Small Finance Bank

MumbaiMember since June 12, 2026

https://www.opentalent.in/yash-ashok-shirsath

Top Skills

Jupyter NotebookPythonJavaHTMLCSSC++JavaScript

Skills

Jupyter NotebookPythonJavaHTMLCSSC++JavaScript

Experience

Utkarsh Small Finance Bank

Data Scientist

June 12, 2026 – Present

Projects

BMC-Product-Reviews-Web-Scrapping-Sentiment-Analysis

July 5, 2025 – Present

BMC-Product-Reviews-Web-Scrapping-Sentiment-Analysis — GitHub repository

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Inspect-Rich-Documents-with-Gemini-Multimodality-and-Multimodal-RAG

April 20, 2025 – April 30, 2025

Learn to analyze documents like PDFs and images using Gemini’s multimodal AI. This course covers combining text and visuals with RAG techniques to extract insights from rich documents using Vertex AI.

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Flask-based-Sentiment-Analysis-for-Product-Reviews

March 24, 2024 – September 28, 2024

"Flask Sentiment Analyzer" is a web app that predicts the sentiment of product reviews using machine learning. Users input text, and the app determines whether it's positive or negative. It aids in decision-making by providing quick insights into customer sentiments.

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Devanagari-Sentiment-Analysis

March 3, 2024 – March 3, 2024

"Devanagari Sentiment Analysis" is a project for analyzing sentiments in Hindi, Marathi, Punjabi, Gujarati text data. It preprocesses text, trains ML models, and visualizes sentiment with word clouds and scores.

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TERRORIST-ACTIVITY-FORECASTING-AND-RISK-ASSESSMENT-SYSTEM

October 2, 2023 – November 3, 2023

In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.

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Web-Scraping-And-Data-Analysis

July 15, 2023 – October 15, 2023

The objective of the Data Analytics internship at CSRBOX is to provide interns with hands-on experience in applying data analytics techniques to real-world projects in the field of corporate social responsibility (CSR). Interns will gain practical skills in data collection, cleaning, analysis, visualization, and reporting, while working on projects

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Tata-Data-Visualisation-Virtual-Internship

May 2, 2023 – May 9, 2023

Data Visualisation: Empowering Business with Effective Insights Gain insights into leveraging data visualisations as a tool for making informed business decisions.

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MY-TP-PROJECTS

March 7, 2023 – January 22, 2024

I am Uploading My Short simple projects on Python, Java, C++ & C Language in this library.

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C-Programming-Projects-And-Algorithms

March 7, 2023 – May 10, 2024

In computer programming terms, an algorithm is a set of well-defined instructions to solve a particular problem. It takes a set of input(s) and produces the desired output. For example, An algorithm to add two numbers: Take two number inputs Add numbers using the + operator Display the results.

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Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various data science sub-fields like web scraping, sentiment analysis, and data visualization.
Project experience in machine learning model training and deployment (Flask-based Sentiment Analysis).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.