toji

Data Scientist

https://talent.gravityer.com/toji

Bengaluru, Karnataka, IndiaMember since June 22, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (DATA_SCIENCE, Duckworth-Lewis-Stern-Calculator, Traffic_Sign_Detection, autods, ChatPy, InfoFlow).
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various machine learning concepts like Linear Regression and object detection (Yolo v5).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, from data science to mobile app development, suggests a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

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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Projects

pocket-financer-android

May 5, 2026 – Present

pocket-financer-android — repository

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pF_slm_selection

March 17, 2026 – Present

Public repository for pF_slm_selection

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companion-ios

December 2, 2025 – Present

LLM based journalling app

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autods

February 3, 2024 – February 21, 2024

autods — repository

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ChatPy

October 28, 2023 – October 28, 2023

A Simple replacement for ChatGPT

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InfoFlow

October 19, 2023 – October 26, 2023

Talk to your websites

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Duckworth-Lewis-Stern-Calculator

August 20, 2022 – August 20, 2022

The implementation of DLS using Non-linear Regression

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DIP_Assignments

January 12, 2022 – January 12, 2022

Programming Assignments with solutions of Digital Image Processing course at IISc

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Traffic_Sign_Detection

January 11, 2022 – January 12, 2022

This project is done as a part of Digital Image Processing Course at IISc, Bangalore. It is an object detection project in which we detect the traffic signs. This project is done using Yolo v5 algorithm and ultralytics' package is used to train the algorithm on Kaggle's Traffic Sign Detection Dataset.

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DATA_SCIENCE

April 1, 2020 – April 1, 2020

The influence of temperature and monthly or seasonwise trends on the annual electricity consumption in IIT-Bombay has been investigated in order to develop a simple and data light electricity consumption forecasting model, to be used as part of more complex planning tools. The time period considered for the historical data is from January 2017 to December 2017. Multivariable Linear regression models are developed using historical electricity consumption, day, month, and weekday. Annual electricity consumption was strongly related to the selected variables.

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (DATA_SCIENCE, Duckworth-Lewis-Stern-Calculator, Traffic_Sign_Detection, autods, ChatPy, InfoFlow).
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various machine learning concepts like Linear Regression and object detection (Yolo v5).

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.

toji

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit