Ganesh Borkar

Data Scientist

https://www.opentalent.in/ganesh-borkar

PuneMember since June 12, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Predictive-analysis-for-equity-market-forecasting' and 'PURCHASING_CAPABILITIES'.
Experience with Python and Jupyter Notebook for data analysis and model development.
Familiarity with neural networks and Prophet for time series forecasting.
Exposure to Streamlit for deploying data applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a focus on individual contributions and exploration of various data science and web development topics. The diversity of projects (data analysis, web development) indicates a broad interest, which could be a good fit for a dynamic environment. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit. The target role is Data Scientist, and several projects align with this, indicating a good foundational interest.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed.

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Projects

Fastapi_user_manegment

January 31, 2025 – March 20, 2025

FastAPI-powered backend for CRUD operations on users. Features interactive docs, MySQL integration, and scalable design. Perfect for apps needing user management.

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corniya_site

September 28, 2024 – November 9, 2024

Corniya Under Construction page

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Predictive-analysis-for-equity-market-forecasting

March 14, 2024 – March 9, 2025

Developed a stock market analysis and prediction tool using neural networks and Prophet, achieving an average 0.85 R2 score , providing accurate and real-time insights via Streamlit. This helps investors to enhances investment strategies.

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PURCHASING_CAPABILITIES

January 15, 2024 – January 24, 2024

Customer Segmentation is the subdivision of a market into discrete customer groups that share similar characteristics. Customer Segmentation can be a powerful means to identify Capabilities of the customer needs.

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Computational_statistics

November 19, 2022 – February 10, 2023

Computational Statistics

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portfolio

September 21, 2022 – September 23, 2022

portfolio — GitHub repository

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ganesh-borkar

September 21, 2022 – February 10, 2023

ganesh-borkar — GitHub repository

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matplotlib

August 27, 2022 – January 11, 2023

matplotlib for ploting graph

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share_market_analysis

August 18, 2022 – August 19, 2022

share_market_analysis — GitHub repository

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emi-calculater

October 27, 2021 – October 30, 2021

emi-calculater — GitHub repository

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Predictive-analysis-for-equity-market-forecasting' and 'PURCHASING_CAPABILITIES'.
Experience with Python and Jupyter Notebook for data analysis and model development.
Familiarity with neural networks and Prophet for time series forecasting.
Exposure to Streamlit for deploying data applications.

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, indicating no assessment was completed.

Ganesh Borkar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit