I am an experienced Data Scientist adept in end-to-end development, deployment, & fine-tuning of advanced ML models, including LLMs, with expertise in NLP, CV, and time series analysis.

Email Address

Phone Number

Bologna, Italy

www.linkedin.com

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xandie985 - Overview

Sandeep Kumar Kushwaha | Contributor

Instagram (@sxandie)

Skills

Data Scientist (1)

Work Experience

Data Scientist (Mar’22 - present)

Machine Learning Intern (Sep’21 - Mar’22)

Senior Software Engineer (Jul’18 - Dec’20)

Education

2020-23 MSc. in Artificial Intelligence

103/110

Thesis: Automating Document Processing in the Supply Chain with NER and Transformer-based Information Extraction Methods.

Università di Bologna

Mastered a diverse array of subjects in Artificial Intelligence, including Blockchain and Cryptocurrencies, Cognition and Neuroscience, and Data Mining. Specialized in Combinatorial Decision-making and Optimization, Text Mining, and Big Data Analytics, alongside delving into Ethics in AI and Knowledge Representation. Proficient in Image Processing, Computer Vision, and Algorithms, with hands-on experience gained through an Internship Abroad. Developed expertise in Machine Learning, Deep Learning, and Natural Language Processing, complemented by a strong foundation in Algorithms and Programming.


2014-18 BE. in Computer Science & Engg.

78/100

CHITKARA UNIVERSITY - BEST UNIVERSITY IN NORTH INDIA

A proactive achiever specializing in Python, C, Linux, C++, and more. Demonstrated leadership as an Executive at the Association of Computing Machinery, organizing impactful events like Hour of Code and Infosys Industrial visit. Additionally, contributed as an Executive in the C2S2 Society, showcasing versatile skills in content writing, design, and event promotions for college magazines and events.


2018 Summer Research Intern

Certified, Visiting Member

https://www.ccu.edu.tw/?Lang=en

Research: Traffic Sign Detection and Classification:

Assisted in developing a real-time traffic sign detection algorithm inspired by SSD. Balanced accuracy and speed, overcoming challenges of two-stage detectors, resulting in a lightweight, high-accuracy detector based on SSD with MobileNet for ADAS and self-driving applications.

Projects & Write-ups

Demystifying Large Language Models (LLMs): an Introductary Exploration

Large Language Model (LLM) productionization

Insights into Indian Electoral Bonds 2019–2024

https://github.com/xandie985/ai-buffet

https://github.com/xandie985/data-scientist-roadmap2024

https://github.com/xandie985/car_insurance_claim_insights

https://github.com/xandie985/Natural-Laguage-Processing

Certifications

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