Skanda Suresh

Data Scientist

https://talent.gravityer.com/skanda-suresh

Bengaluru, Karnataka, IndiaMember since June 24, 2026

Key Strengths

Strong portfolio of personal projects demonstrating practical application of Data Science and Machine Learning.
Proficiency in Python for data analysis, machine learning, and NLP tasks.
Experience with various ML models (RoBERTa, DistilBERT, Qwen, Gemini LLMs) and their application.
Ability to build end-to-end data products, including dashboards (Streamlit) and API endpoints (FastAPI).
Demonstrated interest in advanced topics like prompt injection detection and multi-modal AI agents.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, innovative projects, which suggests a self-starter and curious individual. The diversity of projects (analytics, language learning, task management, news bias, LLM security, multi-modal AI) indicates a broad interest and ability to adapt to different problem domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate initiative and a project-oriented mindset.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

news-lens

April 10, 2026 – Present

Indian news media bias detector - RoBERTa classifier, narrative clustering, and Streamlit dashboard.

View Project

prompt-shield

April 10, 2026 – Present

Fine-tuned DistilBERT classifier that detects prompt injection and jailbreak attempts before they reach an LLM with a FastAPI endpoint and live Streamlit demo.

View Project

criciq

April 7, 2026 – Present

Ball-by-ball IPL analytics dashboard with win probability modeling, phase batting, bowler matchups, and a custom player impact metric.

View Project

german-learning-app

March 26, 2026 – Present

German language learning app (A1-B2) with flashcards, grammar drills, daily challenges, AI feedback and a full dictionary.

View Project

clearpath

March 15, 2026 – Present

Daily tasks. Weekly goals. Monthly vision. All in one place.

View Project

prism-multi-modal-agent

June 12, 2025 – June 12, 2025

A modular AI assistant platform integrating multiple intelligent agents for cooking, planning, news, and more — powered by Qwen and Gemini LLMs.

View Project

Key Strengths

Strong portfolio of personal projects demonstrating practical application of Data Science and Machine Learning.
Proficiency in Python for data analysis, machine learning, and NLP tasks.
Experience with various ML models (RoBERTa, DistilBERT, Qwen, Gemini LLMs) and their application.
Ability to build end-to-end data products, including dashboards (Streamlit) and API endpoints (FastAPI).
Demonstrated interest in advanced topics like prompt injection detection and multi-modal AI agents.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate initiative and a project-oriented mindset.

Skanda Suresh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit