Open to opportunities

Nishant Nishant

@nishantnishant

I build predictive models and scalable data pipelines that improve business decisions.

At UCAS, I engineer automated Python and SQL ETL pipelines for multi-million-row admissions datasets, helping turn applicant behaviour, acceptance rates and attainment data into decision-ready insights.

I've built reusable extraction frameworks and API wrappers, including EXACT, and automated AWS S3 workflows to make data storage, staging and delivery more scalable and reliable.

Previously at Gradence Global and Clarivate, I developed predictive models for sales, churn, user behaviour and forecasting, improving client decision-making accuracy by 20%. I also delivered Power BI and Tableau dashboards that reduced reporting time and made KPIs easier for stakeholders to act on.

Across financial risk, crime, stock-market and operational analytics projects, I use Python, SQL and machine learning to translate complex data into clear business recommendations.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

UCAS

Jan 2026 - Present (7 months)

Engineered and automated end-to-end ETL pipelines in Python and SQL to process multi-million-row admissions datasets. Developed reusable data extraction frameworks and API wrappers, including EXACT, and automated AWS S3 workflows for scalable data operations.

Python SQL ETL S3 API Integration Data Analysis Stakeholder Management

Associate Data Scientist

Gradence Global

Jul 2025 - Dec 2025 (5 months)

Developed predictive models using Python, scikit-learn, XGBoost and SQL to forecast sales, customer churn and user behaviour, improving client decision-making accuracy by 20%. Designed and deployed interactive Power BI and Tableau dashboards, reducing reporting time by 30%.

Python scikit learn XGBoost SQL Power BI Tableau ETL predictive modeling Data Analysis

Data Administrator

Panda Mami

Sep 2024 - Jun 2025 (9 months)

Analysed real-time reservation and guest-flow data to improve seating efficiency and reduce customer wait times by 25%. Evaluated daily footfall and staffing requirements using Excel and Google Sheets, and analysed guest feedback to improve satisfaction by 15%.

Excel Google Sheets Data Analysis Reporting Dashboard Development

Data Analyst

Clarivate

Oct 2022 - Apr 2023 (6 months)

Developed and deployed Python-based predictive models that improved forecasting accuracy by 20%. Automated interactive Power BI dashboards, improving real-time decision-making efficiency by 18%, and optimised SQL workflows for large-scale analysis.

Python Power BI SQL predictive modeling Data Analysis Dashboard Development

Data Analyst

Aislyn Technologies

Jun 2021 - Feb 2022 (8 months)

Analysed and classified more than 4,000 patents using Python and SQL, improving data accuracy by 15%. Automated data-processing activities using MySQL and Anaconda, reducing processing time by 20%, and built Tableau dashboards for KPI tracking.

Python SQL MySQL Anaconda Tableau Data Analysis Data Processing

Education

Degrees, certifications, and relevant coursework

University of Birmingham

Master of Science, Data Science

2023 - 2024

Grade: 2:1

Pursued an MSc in Data Science with a 2:1, covering modules such as Storing and Managing Data, Visualisation, and Algorithms for Data Science.

V T University

Bachelor of Engineering, Computer Science

2019 - 2023

Grade: 75.6%

Completed a Bachelor of Engineering in Computer Science with 75.6%, including modules in Python Programming, SQL, Networking Systems, and Database Management Systems.