Experience

Jr. Data Analyst Technical Expert — Operations & Analytics

Recruit Riders Technologies

February 2025 — present

Reporting and analysis for a recruiting business, working directly with the HR, Sales, and Operations teams whose decisions the reporting supports.

• Gathers and documents business requirements with HR, Sales, and Operations stakeholders, turning them into structured analytical deliverables and KPI dashboards.
• Designs and maintains Power BI and Tableau dashboards tracking 8+ recruiting KPIs — time-to-hire, offer acceptance rate, and recruiter performance among them — across 50,000+ candidate records.
• Automated ETL pipelines with Python and SQL, cutting manual reporting effort by approximately 40% and shortening turnaround on recurring reports.
• Produces weekly MIS reports and consolidated business reviews used as decision support in leadership meetings.
• Cleans, validates, and preprocesses large operational datasets, then applies trend and regression analysis to surface patterns for non-technical stakeholders.
• Acts as the bridge between technical teams and business stakeholders, translating analysis into executive-level briefings.

SQL · Power BI · Tableau · Python · Excel · Jira

The underlying data is confidential recruiting information covering candidate records. No screenshots, schemas, or record-level detail are published.

Data Analytics & Visualization Simulation

Accenture

Virtual job simulation — not employment

December 2024 — February 2025

A structured virtual job simulation modelling an end-to-end client engagement. The résumé states plainly that this is a simulation programme and not a formal role of employment; the same applies here.

• Coordinated data gathering across seven datasets and performed gap analysis as part of a simulated client engagement, delivering a stakeholder-ready executive presentation with recommendations.
• Identified trends using structured problem-solving frameworks and translated the findings into business terms for a senior audience.

Simulation, not employment. This label must always render adjacent to the entry.

Data Science Intern

NullClass · Remote

Internship

August — October 2024

Applied data science work on structured datasets, with findings written up for a non-specialist audience.

• Conducted exploratory data analysis and feature engineering on structured datasets to surface business signals, reporting progress to team leads.
• Built and evaluated classification and regression models, documenting findings in structured reports for stakeholders.

Python · Pandas · NumPy

This is the only machine-learning evidence in the source set. No claim beyond it is made anywhere on this site.

Web Development Intern — React JS

Brainy Beam Technologies

Internship

June — July 2023

First exposure to delivering inside a sprint cadence with a cross-functional team.

• Collaborated in an Agile Scrum team to deliver UI components on schedule, coordinating with cross-functional team members on sprint deliverables.