Shivam Gangwar

Data Scientist

Gurugram, Haryana, India1 yr 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in machine learning and data science with practical applications.
Developed multiple high-impact predictive models for business solutions.
Currently expanding expertise in Deep Learning and Generative AI.

Stackforce AI infers this person is a Data Science professional with a strong focus on SaaS and AI-driven solutions.

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Skills

Core Skills

Machine LearningData Science

Other Skills

A/B TestingAWSAmazon Web Services (AWS)Analytical SkillsBERT (Language Model)CommunicationComputer VisionCross-team CollaborationDBSCANData ModelingData VisualizationData WranglingDeep LearningDigital Image ProcessingEngineering Mathematics

About

A highly adaptable professional with strong mathematical foundations and a passion for solving problems through data. Over the past 3+ years, I’ve worked across diverse functions and industries, which taught me how to quickly grasp new domains, identify what really drives value, and translate insights into impact. In the past year, I’ve driven end-to-end data science initiatives- cleaning and structuring messy datasets, applying machine learning to solve real business problems, and developing solutions designed for scale. I focus on converting complex data into clear, actionable insights and building models that are not just technically sound, but practical enough to influence decisions and create business value. Currently, I’m expanding into Deep Learning and Generative AI to address large-scale challenges in unstructured data and next-gen AI applications. Outside of work, I enjoy hyper-realistic sketching and share my thoughts on Medium about how AI is shaping industries and everyday life. If you’re looking for someone who combines diverse industry perspective, strong data science expertise, and curiosity to tackle emerging AI challenges, I’d be excited to connect.

Experience

1 yr 2 mos

Total Experience

1 yr 2 mos

Average Tenure

Current Experience

Campusx

Data Science Trainee (DSMP)

May 2024 – Jul 2025 · 1 yr 2 mos

Designed and implemented machine learning algorithms from scratch, covering regression, classification, and clustering across practical real-world use cases.
Worked on 15+ mini projects and case studies covering EDA, feature engineering, model building, and deployment.
Developed a churn prediction model on 40k+ customer records that achieved 82% accuracy, enabling proactive retention strategies and reducing potential customer loss.
Developed a recommendation system using proximity and neighborhood-based filtering to suggest relevant options to users, enhancing personalization and decision-making.
Built a price prediction model on 20k+ housing records, achieving an RMSE of 12.3 and improving baseline error by 18%, supporting data-driven pricing decisions.
Implemented hypothesis testing and A/B testing to evaluate feature effectiveness and user behavior patterns.
Automated data pipelines and preprocessing workflows, reducing manual effort and improving reproducibility.
Deployed ML models via Streamlit & AWS EC2, simulating real-world production environments.
Built a capstone project integrating dashboards, recommendation engine, and price prediction model, covering end-to-end DS lifecycle.