Shubham Jain

AI Researcher

India10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed ML-driven solutions for manufacturing efficiency.
  • Led predictive modeling initiatives impacting healthcare.
  • Engineered profitable quantitative trading strategies.
Stackforce AI infers this person is a Data Science expert with a focus on Manufacturing and Healthcare analytics.

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Skills

Core Skills

Data EngineeringStatistical Arbitrage

Other Skills

Data VisualizationCross-functional CollaborationsPython (Programming Language)Market RiskAI LiteracyBusiness AcumenData StorytellingMachine LearningSQLAmazon Web Services (AWS)Statistical Data AnalysisMicrosoft PowerPointMicrosoft ExcelAnalytical SkillsData Analysis

About

I see data as more than just numbers—it's a powerful tool to solve real problems and drive change. I like structure, but curiosity does most of the steering for me. I want to know why something works the way it does and how to tune it. My comfort zone sits at the junction of technical depth and business context: analytics, machine learning, and straightforward storytelling that moves decisions. At Aditya Birla Group, I worked on an AI fraud-detection system that slashed claims processing time and used real-time IoT data to lift manufacturing throughput. At Fractal, I built predictive models and segmentation for a large AWS partner base and fed insights that directly bumped conversion. At Subhkam Ventures, I built trading systems that beat benchmark indices and strengthened RSI-driven strategies. My toolkit covers predictive modeling, statistical analysis, BI and dashboards, A/B testing, segmentation, financial analysis, ML implementation, and translating complex outputs into something people can act on. I like hard problems and unclear answers and want to keep working where data has immediate operational and strategic impact.

Experience

10 mos
Total Experience
10 mos
Average Tenure
10 mos
Current Experience

Aditya birla management corporation pvt ltd

3 roles

Assistant Manager - Data Science

Promoted

Jan 2026Present · 4 mos · Bengaluru, Karnataka, India

  • Building an ML-driven digital twin for manufacturing plant, enabling simulation-based what-if analysis to improve first-time-right, yield consistency, and energy efficiency

Management Trainee (Data Scientist)

Jul 2025Jan 2026 · 6 mos · Bengaluru, Karnataka, India

  • Led the end-to-end development of a spatiotemporal machine learning system for early disease hotspot detection.
  • Developed multi-week predictive forecasts by integrating spatial and temporal signals.
  • Enabled proactive policy underwriting and fraud detection through actionable risk intelligence, while contributing to data-driven upsell and cross-sell strategies, enhancing overall healthcare insurance business performance.

Data and Analytics Trainee

Jan 2025Jun 2025 · 5 mos · Bengaluru, Karnataka, India

  • Integrated AI-driven validation into business workflows to enhance classification of healthcare insurance fraud claims.
  • Developed a Small Language Model (SLM) to provide reasoning behind fraud classifications.
  • Architected scalable data infrastructures for real-time analytics, empowering decision-making in manufacturing.
Data VisualizationCross-functional Collaborations

Fractal

Project Intern

Jun 2024Aug 2024 · 2 mos

  • Identified high-growth opportunities for AWS Marketplace partners through predictive modeling and customer segmentation, directly influencing strategic partner positioning and driving targeted outreach.
  • Led cross-functional A/B testing initiatives with marketing teams, resulting in a 10% lift in conversion rates and an increase in user engagement.
  • Developed and published data-driven case studies that showcased AWS Marketplace partner solutions, leading to a boost in partner solution visibility and improved stakeholder buy-in through clear demonstration of measurable business impact.
Data VisualizationCross-functional Collaborations

Subhkam ventures

Quant Analyst

Jun 2023Jul 2023 · 1 mo · South Mumbai, Maharashtra, India · On-site

  • Engineered and backtested 20+ quantitative trading strategies using moving averages and technical indicators on NIFTY and BANKNIFTY F&O data, improving strategy profitability by 15–25% over baseline benchmarks.
  • Analyzed historical closing prices for 1,102 NSE500 cash stocks to design optimized RSI-based portfolios, achieving enhanced Sharpe ratios and consistent risk-adjusted returns across multiple time frames.
  • Collaborated within a cross-functional team, presenting data-driven insights and portfolio outcomes, which increased team engagement and improved collective decision-making.
Python (Programming Language)Market Risk

Education

Plaksha University

Bachelor of Technology - BTech — Computer Science

Oct 2021Jan 2025

DPS Surat

Jan 2009Jan 2019

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