Looking for a job

Ali User

@aliuser36

Message

I build data dashboards and reporting pipelines that turn operational data into action.

Malaysia

Message

What I'm looking for

I'm looking to support fast-paced, data-driven hiring workflows and talent marketplace analytics through data cleaning, KPI reporting, anomaly investigation, dashboard building, and structured analytical documentation.

I've built data reporting products including a customer retention pipeline that cleaned 7,043 records and delivered a five-page Streamlit dashboard with KPI scorecards, segment distributions, and automated risk scoring.

For DataPilot AI, I developed an analytics tool that converts business questions into SQL across PostgreSQL, MySQL, and SQLite, with automated KPI summaries and dynamic Plotly reports. I also documented schema mappings, database dictionaries, and validation rules, achieving 100/100 automated integrity checks with sub-50ms cached metric retrieval.

As GeeksforGeeks' Campus Ambassador and Growth Analytics Lead, I used Excel and SQL to monitor engagement funnels, help drive a 35% user increase, and exceed regional recruitment targets by 20%. I'm completing a Bachelor of Data Science at AIU while building practical skills in data cleaning, reporting, dashboards, and process documentation.

Experience

Work history, roles, and key accomplishments

Junior Data Analyst

Hire Hangar

Detail-oriented Data Science undergraduate with strong practical competencies in data collection, data scrubbing, exploratory analysis, and business reporting. Proficient in Microsoft Excel, SQL, and visualization tools to monitor key operational metrics and investigate anomalies across real-world datasets.

Excel SQL Data Cleaning Process documentation Power BI Plotly Streamlit PostgreSQL MySQL SQLite Python Pandas NumPy Tableau Google Sheets Git GitHub

Education

Degrees, certifications, and relevant coursework

Albukhary International University

Bachelor of Data Science (Honours), Data Science

2025 -

Grade: 3.84/4.0

Pursuing a Bachelor of Data Science (Honours) with a CGPA of 3.84/4.0 on a fully funded scholarship. Coursework includes database management systems, data science fundamentals, probability and statistics, and Python programming.