Jitesh Malipeddi

Data Scientist

https://talent.gravityer.com/jitesh-malipeddi

One step at a time :)

IndiaMember since June 25, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'ABiFN' (Attention-based Bi-modal Fusion Network for Object Detection) and 'email-triaging' (LLM-based email categorization).
Experience with Python, a core language for Data Science, and relevant tools like Jupyter Notebook and Tensorflow.
Exposure to object detection concepts and frameworks.
Initiative in personal projects, indicating self-driven learning and exploration.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse range of interests, from data science and machine learning to web development (TypeScript, HTML, CSS, JavaScript) and even a Go CLI application. While this breadth indicates curiosity, it also suggests a lack of focused specialization towards the 'Data Scientist' target role. The majority of projects are personal, which is positive for initiative, but there's no information on collaborative work or team environments. The absence of professional experience makes it difficult to assess alignment with typical team dynamics and work culture.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

email-triaging

February 24, 2026 – Present

Fetch Gmail inbox, tag each email with a category using a local LLM (Ollama), and optionally apply labels.

View Project

legal-questions-bns

September 13, 2025 – September 13, 2025

legal-questions-bns — GitHub repository

View Project

rrb-exam-prep-assistant

June 9, 2025 – June 9, 2025

rrb-exam-prep-assistant — GitHub repository

View Project

Visualize-Yolo-annotations

April 19, 2021 – April 19, 2021

A simple tool that will help visualize bounding boxes in darknet/yolo format

View Project

Ping-CLI-application

April 19, 2020 – April 20, 2020

A CLI application that sends ICMP echo requests to a given host

View Project

ABiFN

March 31, 2020 – November 22, 2022

Implementation of Attention-based Bi-modal Fusion Network for Object Detection

View Project

roomy_auth

February 27, 2020 – January 7, 2023

roomy_auth — GitHub repository

View Project

Display-Products

November 17, 2019 – December 15, 2019

Display-Products — GitHub repository

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Tensorflow-Object-Detection-API-Google-Colab

July 23, 2019 – August 20, 2019

Train a Tensorflow object detection model using Google Colab

View Project

election_predictor

March 28, 2019 – May 1, 2019

election_predictor — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'ABiFN' (Attention-based Bi-modal Fusion Network for Object Detection) and 'email-triaging' (LLM-based email categorization).
Experience with Python, a core language for Data Science, and relevant tools like Jupyter Notebook and Tensorflow.
Exposure to object detection concepts and frameworks.
Initiative in personal projects, indicating self-driven learning and exploration.

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 are available.

Jitesh Malipeddi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit