K.L.SIVAKANTHREDDY01

Data Scientist

https://talent.gravityer.com/klsivakanthreddy01

LLM Developer | Android Developer

Member since June 29, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Detecting_Road_Damage' (YOLOv7), 'dimensionality_reduction_for_recommendation_systems', and 'wastewater-predictive-maintenance' (GNNs, Reinforcement Learning).
Experience with various machine learning techniques and frameworks, including deep learning (YOLOv7), dimensionality reduction (PCA, t-SNE, Autoencoders), and graph neural networks.
Practical application of data science concepts in real-world scenarios, such as road damage detection and predictive maintenance.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and demonstrate a strong inclination towards self-directed learning and exploration in data science. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The project diversity is good within the data science domain, but the target role alignment is based on personal interest rather than proven professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.

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Projects

Siva-event-talks-app

June 19, 2026 – Present

Siva-event-talks-app — GitHub repository

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sivakanth1

May 26, 2026 – Present

sivakanth1 — GitHub repository

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LLM-Safety-Evaluation-Framework

December 20, 2025 – December 20, 2025

LLM-Safety-Evaluation-Framework — GitHub repository

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Detecting_Road_Damage

November 26, 2025 – December 19, 2025

YOLOv7-based road damage detection system trained on RDD2022 multi-national dataset. Achieves 63.85% mAP for detecting cracks and potholes. Includes Gradio UI.

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dimensionality_reduction_for_recommendation_systems

November 24, 2025 – November 24, 2025

A comprehensive comparison of dimensionality reduction techniques (PCA, t-SNE, Autoencoders) for recommendation systems with visualization and performance analysis.

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wastewater-predictive-maintenance

November 24, 2025 – November 24, 2025

AI-powered predictive maintenance for wastewater networks using Graph Neural Networks and Reinforcement Learning

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ParaMind-Parallel_Agent_Orchestration

November 22, 2025 – December 9, 2025

ParaMind-Parallel_Agent_Orchestration — GitHub repository

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Multimodal-Accessibility-Translator

November 15, 2025 – November 15, 2025

Multimodal-Accessibility-Translator — GitHub repository

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stream_token_server

August 1, 2025 – August 3, 2025

Server from stream used in my SynerSched

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myBusReservation-Web-Application

July 11, 2022 – October 15, 2022

Web Development for Bus reservation system

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Detecting_Road_Damage' (YOLOv7), 'dimensionality_reduction_for_recommendation_systems', and 'wastewater-predictive-maintenance' (GNNs, Reinforcement Learning).
Experience with various machine learning techniques and frameworks, including deep learning (YOLOv7), dimensionality reduction (PCA, t-SNE, Autoencoders), and graph neural networks.
Practical application of data science concepts in real-world scenarios, such as road damage detection and predictive maintenance.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

K.L.SIVAKANTHREDDY01

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit