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ML and AI enthusiast, passionate about using technology to solve complex problems. Open to collaborate. Contact me at abineshsivakumar@gmail.com
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amrita Vishwa Vidyapeetham
Data Scientist
June 17, 2026 – Present
abineshsivakumar.github.io
September 15, 2023 – April 14, 2025
abineshsivakumar.github.io — GitHub repository
View ProjectLlama-2-7B-QLoRA-Vicuna
July 4, 2023 – October 24, 2023
This repository contains code to fine-tune a Llama-7B-Uncensored model using the Vicuna 70k dataset using Quantised Low Rank Adapations (LoRA).
View ProjectHyperPartisan_Classification_Using_BERT
June 5, 2023 – October 24, 2023
A hyperpartisan news article classification system using BERT-based techniques. The goal was to leverage state-of-the-art transformer models like BERT, ROBERTa, and Longformer to accurately classify news articles as hyperpartisan or non-hyperpartisan.
View ProjectFlood_detection-
January 23, 2023 – January 24, 2023
Flood_detection- — GitHub repository
View ProjectAbineshSivakumar
January 17, 2023 – January 17, 2023
AbineshSivakumar — GitHub repository
View ProjectDMD_StockPrediction_and_Analysis_with_GUI
January 17, 2023 – January 18, 2023
Predict stocks using DMD, analyze & backtrack performance with Streamlit GUI. Learn ML for stock prediction & analysis with this GitHub repository
View Projectdmdstocks.info
January 12, 2023 – May 1, 2023
building a web app for DMD based stock prediction
View ProjectCultural Fit Analysis
The candidate shows a strong initiative in personal projects, indicating a self-starter attitude. The diversity of projects (NLP, stock prediction, chatbots, image processing) suggests a broad interest within the data science domain. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess collaboration potential or alignment with specific team cultures. The single listed work experience is current and future-dated, providing no historical context.
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 or work attitude.