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Data science graduate in the University of London programme (academic direction via LSE) with final examinations completed and award pending. Focused on building interpretable, reproducible machine learning and analytics projects end-to-end, with strong GitHub documentation and stakeholder-ready deliverables. I enjoy turning real data problems into clear models and dashboards—covering classification with imbalance handling, NLP social listening, Bayesian simulation (MCMC), and sports forecasting. Currently preparing for the Microsoft PL-300 Power BI Data Analyst certification and available full-time immediately.…Data science graduate in the University of London programme (academic direction via LSE) with final examinations completed and award pending. Focused on building interpretable, reproducible machine learning and analytics projects end-to-end, with strong GitHub documentation and stakeholder-ready deliverables. I enjoy turning real data problems into clear models and dashboards—covering classification with imbalance handling, NLP social listening, Bayesian simulation (MCMC), and sports forecasting. Currently preparing for the Microsoft PL-300 Power BI Data Analyst certification and available full-time immediately.

Shivam Singh Jodha

Data Scientist, Data Analyst, Data Engineer, +2

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Data science graduate in the University of London programme (academic direction via LSE) with final examinations completed and award pending. Focused on building interpretable, reproducible machine learning and analytics projects end-to-end, with strong GitHub documentation and stakeholder-ready deliverables. I enjoy turning real data problems into clear models and dashboards—covering classification with imbalance handling, NLP social listening, Bayesian simulation (MCMC), and sports forecasting. Currently preparing for the Microsoft PL-300 Power BI Data Analyst certification and available full-time immediately.…Data science graduate in the University of London programme (academic direction via LSE) with final examinations completed and award pending. Focused on building interpretable, reproducible machine learning and analytics projects end-to-end, with strong GitHub documentation and stakeholder-ready deliverables. I enjoy turning real data problems into clear models and dashboards—covering classification with imbalance handling, NLP social listening, Bayesian simulation (MCMC), and sports forecasting. Currently preparing for the Microsoft PL-300 Power BI Data Analyst certification and available full-time immediately.

Available to hire

Data science graduate in the University of London programme (academic direction via LSE) with final examinations completed and award pending. Focused on building interpretable, reproducible machine learning and analytics projects end-to-end, with strong GitHub documentation and stakeholder-ready deliverables.

I enjoy turning real data problems into clear models and dashboards—covering classification with imbalance handling, NLP social listening, Bayesian simulation (MCMC), and sports forecasting. Currently preparing for the Microsoft PL-300 Power BI Data Analyst certification and available full-time immediately.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Beginner

Beginner

Beginner

Language

English

Advanced

Hindi

Fluent

Work Experience

QA and Documentation Lead (Social Listening Delivery) - Client Project at Singapore Red Cross (NGO)

January 1, 2024 - Present

Led QA and documentation for an NLP social listening pipeline on 1,172 public mentions. Built and verified collection tooling using BeautifulSoup and Selenium, validated pipeline outputs pre-delivery, and ensured reproducible methodological reporting. Delivered report, appendix, QA findings log, and presentation under a hard deadline with client approval; analysed sentiment outcomes (77.1% positive).

QA and Documentation Lead (Social listening delivery project) at Singapore Red Cross (client project)

January 1, 2024 - Present

Led QA and documentation for an NLP social listening delivery. Analyzed 1,172 public mentions and produced client-facing deliverables under a hard deadline, including a report, appendix, QA findings log, and presentation. Built and validated collection tooling using BeautifulSoup and Selenium, verified pipeline outputs prior to delivery, and supported client approval of the published methodology.

Education

BSc Data Science and Business Analytics (final exams completed; award pending) at University of London (via Singapore Institute of Management; academic direction: London School of Economics and Political Science)

January 1, 2023 - June 1, 2026

BSc Data Science and Business Analytics at University of London (via Singapore Institute of Management; academic direction: London School of Economics and Political Science)

January 1, 2023 - June 30, 2026