Pranav Jothimani
Data Scientist<Engineer/>
Sri Ramakrishna Engineering College
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
<Engineer/>
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sri Ramakrishna Engineering College
Data Scientist
June 17, 2026 – Present
secure_code_training
February 12, 2025 – February 13, 2025
secure_code_training — GitHub repository
View Projectplacement_management
January 17, 2024 – January 17, 2024
This a Spring assignment for TNS.
View ProjectCrop-Care
March 22, 2023 – December 8, 2024
Crop Care is a Flutter app that uses a deep learning model to classify plant diseases based on images of plant leaves. Users can take a photo or select an image from their mobile device, and the app identifies the type of plant and whether it's healthy or diseased. Processed images are stored locally and can be viewed in another page.
View ProjectWeeklyDSAChallenge
December 19, 2022 – September 11, 2023
This is a repository where I will be storing the problems which I have solved during the Weekly DSA Challenge. In this challenge, I will learn new concepts in Data Structures and Algorithms and then apply them to solve problems.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of technologies (Python, Java, Dart, C++, Rust, Lua, Shell) and application types (web API, mobile app, DSA challenges, configuration files). However, the experience level is listed as 0, and the only listed 'experience' is a current 'Data Scientist' role starting in the future (2026), which suggests this is a placeholder or an error. This makes it difficult to assess current cultural fit or alignment with a senior Data Scientist role. The projects, while varied, do not consistently demonstrate deep, senior-level contributions in data science beyond the 'Crop-Care' project's mention of a deep learning model.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication style, teamwork, or problem-solving approaches.