Shubham Singh

Data Scientist

India2 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building ML products for healthcare.
Proven track record in data integration and predictive modeling.
Strong cross-functional collaboration in tech and clinical environments.

Stackforce AI infers this person is a Healthcare Data Scientist with expertise in Machine Learning and IoT integration.

Contact

Skills

Core Skills

Data IntegrationMachine LearningData Analysis

Other Skills

A/B TestingAmazon Web Services (AWS)Analytical SkillsAutomationCritical ThinkingCross-functional CollaborationCross-functional CollaborationsCross-functional CoordinationDashboard DevelopmentData GovernanceData VisualizationDatabasesEdge deployment conceptError AnalysisExtract, Transform, Load (ETL)

About

I'm a data scientist and a builder working at the intersection of healthcare, machine learning, and product. At Medblue, I’ve helped design and scale real world ML products used in healthcare where accuracy isn’t optional. From building internal ETL systems that automate messy sensor data to developing predictive models and full stack tools, I solve problems that directly impact lives. What I bring: • Data and Action: Applied ML, not just dashboards. • Product and Operations Sync: Aligning hardware, software and decision-makers. • Systems Thinking: From one off insights to end-to-end repeatable tools. If you're building something in healthtech, data driven product or AI that touches the real world I would love to learn more or jam on ideas. Let’s connect.

Experience

2 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

2 yrs 8 mos

Current Experience

Medblue innovations pvt ltd

3 roles

Data Scientist

Jul 2025 – Present · 11 mos · On-site

Data Analyst

Promoted

Sep 2023 – Jun 2025 · 1 yr 9 mos · On-site

1. Led end-to-end data integration for a life-critical devices turning raw IoT signals into real-time predictive models used in hospitals.
2. Bridged teams across hardware, software, and clinical operations.
3. Co-built dashboard systems for internal teams and clinical visibility.
4. Developed ML calibration workflows, ensuring accurate patient readings

Data IntegrationIoTPredictive ModelingCross-functional CollaborationDashboard DevelopmentMachine Learning Calibration+1

Data Analyst

Mar 2023 – Aug 2023 · 5 mos · On-site

1. Analyzed the in depth IOT sensors data for real time decision making.
2. Designed early pipelines and prototyped predictive models on spectral signals.
3. Built first internal dashboards to visualize trial stage product performance.

Data AnalysisIoTPredictive ModelingDashboard DevelopmentMachine Learning

Suvidha foundation (suvidha mahila mandal)

Machine Learning Engineer

Feb 2023 – Mar 2023 · 1 mo · Maharashtra, India · Remote

Ineuron.ai

Data Science Intern

Jul 2022 – Dec 2022 · 5 mos · Bengaluru, Karnataka, India

1. Flipkart Review Scraper: Built a Python-based web scraper using BeautifulSoup and Requests to extract product reviews from Flipkart, performed text preprocessing (tokenization, stopword removal, stemming), and conducted sentiment analysis with NLTK to classify reviews as positive, neutral, or negative.
2. HR Analytics: Performed EDA and analyzed employee absenteeism and attrition patterns using Pandas, NumPy, Matplotlib, Seaborn, Plotly and various libraries. Applied logistic regression and decision tree models in scikit-learn to predict attrition probability, and visualized insights for HR decision-making.

Web ScrapingData AnalysisSentiment AnalysisData Visualization

Alpine technologies

Sales And Marketing Intern

Jul 2021 – Sep 2021 · 2 mos · Kanpur, Uttar Pradesh, India

1. Research potential customers and compile contact lists and made cold calls, send emails, and follow up with prospects.
2. Support digital marketing efforts like email campaigns and ads.
3. Update customer databases and track interactions.