Aman Singh

Data Scientist

Bengaluru, Karnataka, India3 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing high-accuracy ML solutions.
Passionate about teaching coding fundamentals on YouTube.
Proven track record in enhancing user engagement.

Stackforce AI infers this person is a Full Stack Data Scientist with expertise in Fintech and Retail sectors.

Contact

aman.singh@tigeranalytics.com +919165936470 LinkedIn

Skills

Core Skills

Machine LearningRecommender SystemsNatural Language Processing (nlp)Generative AiFeature EngineeringNode.js

Other Skills

AI strategyAlgorithmsAnalytical SkillsBlockchainC (Programming Language)Computer VisionCore JavaCouchDBCryptographyData AnalysisData StructuresExpress.jsJavaLarge Language Models (LLM)MATLAB

About

Aman is a dedicated Full Stack Data Scientist passionate about machine learning and artificial intelligence. In their current role, Aman specializes in Recommender Systems and Multimodal Machine Learning, leveraging text, images, and audio to build intelligent models. They have developed and deployed high-accuracy ML solutions for Search, Personalization, and Customer Experience, with hands-on expertise in LLMs, A/B Testing, and marketplace optimization. Additionally, Aman also runs a YouTube channel dedicated to teaching coding fundamentals, showcasing their commitment to knowledge sharing and community building.

Experience

Tiger analytics

4 roles

Data Scientist

Jan 2025 – Present · 1 yr 2 mos

Python (Programming Language)Recommender SystemsMachine LearningReinforcement LearningFeature EngineeringLarge Language Models (LLM)

Senior Data Science Analyst

Promoted

Jul 2023 – Jan 2025 · 1 yr 6 mos

Led the development of an AI-powered personal finance chatbot at Tiger Analytics, implementing RAG for real-time user queries.
Achieved a 30% increase in user engagement and financial literacy, with a 50% reduction in waiting times for an improved user experience.

Python (Programming Language)Large Language Models (LLM)RAGNatural Language Processing (NLP)Generative AIMachine Learning

Data Science Analyst

Jun 2022 – Jun 2023 · 1 yr

Developed machine learning models for 10+ retailers and 20+ products, achieving 86% accuracy in identifying optimized sales-influencing features.
Deployed an end-to-end ML app into production, implementing A/B testing to target delinquent retailers, resulting in a sales increase of €200/retailer and a reduction in operational costs by approximately €40K/year.

Machine LearningFeature EngineeringPandasPySpark

Data Scientist Intern

Jan 2022 – Jun 2022 · 5 mos

Trained machine learning models for 3 key projects: Fake Note Detection,
Cancer Prediction (achieving 95% accuracy), House Price Prediction (with a
10% error margin).

Python (Programming Language)Machine Learning AlgorithmsNumPyPandasMachine Learning

Block and byte technologies

Software Developer Intern

Mar 2021 – May 2021 · 2 mos · Mumbai, Maharashtra, India · Hybrid

Developed a Node.js website for NFT auction listings and identified 5+ optimal features for scalability
Utilized MySql for database management and highlighted security vulnerabilities

JavaNode.jsCryptographySolidityExpress.jsCouchDB