Gaurav Kumar

AI Researcher

New Delhi, Delhi, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Passionate about leveraging machine learning for impactful solutions.
Hands-on experience in AI-driven projects and data analysis.
Strong foundation in statistical modeling and predictive analytics.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Fintech and SaaS solutions.

Contact

Skills

Core Skills

Machine LearningData AnalysisNatural Language Processing (nlp)Ai Solutions

Other Skills

Amazon Web Services (AWS)Analytical SkillsAnalytical TechniquesApple PayArtificial Intelligence (AI)Attention to DetailCloud-based APIsCommunicationCredit Risk AssessmentDatabase OptimizationDeep LearningEngineeringEnglishEvent ManagementEvent Planning

About

Hey, I am a professional with a passion for technology and a background in IT services. I have always been fascinated by the power of technology to change the world. I am particularly interested in the field of machine learning. I believe that machine learning has the potential to revolutionize many aspects of our lives, from healthcare and education to transportation and finance. I am currently pursuing a Bachelor's degree in Chemical Engineering at IIT Delhi. My long-term goal is to work as a machine learning engineer, using my skills to develop innovative solutions that can make a real difference in the world. I am looking to gain more experience in machine learning by working on real-world projects and collaborating with other experts in the field.

Experience

Mathlogic

Analyst

Jul 2024 – May 2025 · 10 mos · Gurugram, Haryana, India · On-site

1. Implemented machine learning models to assess credit risk, optimize collection strategies, and improve delinquency predictions.
2. Designed data-driven scorecards to enhance risk assessment, leveraging PySpark, XGBoost, and statistical modeling techniques.
3. Improved predictive accuracy and model performance, achieving significant gains in KS scores and classification accuracy.
4. Conducted exploratory data analysis (EDA), variable selection (WoE/IV), and model validation to ensure robustness and interpretability.
5. Collaborated with stakeholders to implement insights, driving data-driven decision-making in risk management.

Machine LearningCredit Risk AssessmentData AnalysisStatistical ModelingPySparkXGBoost

Hushh.ai

Software Engineering Machine Learning Intern

May 2023 – Aug 2023 · 3 mos · Kirkland, Washington, United States · Hybrid

1. Built AI-driven solutions, including a vector search chatbot for intelligent document retrieval.
2. Developed and optimized large-scale databases for efficient search and retrieval using Pinecone and RAPTOR indexing.
3. Engineered data-driven applications integrating natural language processing (NLP) and cloud-based APIs.
4. Worked on enhancing user experience by implementing seamless data storage and retrieval solutions.

AI SolutionsNatural Language Processing (NLP)Database OptimizationCloud-based APIs