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Allan KibetAK
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Allan Kibet

@allankibet3

I’m a senior data analyst turning raw data into actionable insights.

United States
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What I'm looking for

I’m looking for a team where I can build BI dashboards and automated data pipelines, collaborate cross-functionally (including cloud), and use SQL/Python to deliver measurable revenue and operational improvements through data-driven decisions.

I’m a results-driven Data Analytics professional with 5+ years of experience transforming raw data into actionable business insights across multiple industries. I pair advanced SQL and Python with stakeholder-ready visualization to help teams make faster, better decisions.

In my Senior Data Analyst role, I designed and maintained 15+ Power BI dashboards used by C-suite leaders, cutting the monthly reporting cycle from 5 days to same-day delivery. I also write complex SQL against 50M+ row PostgreSQL databases, automated Python data ingestion pipelines that eliminate 12 hours of manual work per week, and helped migrate workloads to cloud—reducing infrastructure costs by 35%.

Earlier, as a Data Analyst, I built 10 Power BI reports for $200M+ quarterly lending decisions and developed Python-based anomaly detection that achieved a 94% precision rate, saving an estimated $1.2M annually. I’m known for agile execution in Jira/Scrum and delivering within scope across consecutive sprints.

Experience

Work history, roles, and key accomplishments

TS
Current

Senior Data Analyst

TechBridge Solutions

Mar 2022 - Present (4 years 3 months)

Designed and maintained 15+ Power BI dashboards, reducing the monthly reporting cycle from 5 days to same-day delivery for C-suite stakeholders. Wrote advanced SQL for a 50M+ row PostgreSQL database, automated Python-based ingestion pipelines (saving 12 hours/week), and helped migrate to cloud to cut infrastructure costs by 35%.

LG

Data Analyst

Lone Star Financial Group

Jun 2020 - Feb 2022 (1 year 8 months)

Built and deployed 10 Power BI reports supporting $200M+ in quarterly lending decisions. Developed Python anomaly detection to flag fraudulent transactions (94% precision, ~$1.2M annual savings) and delivered data projects within sprint timelines across 20+ consecutive sprints with zero audit findings in two annual compliance reviews.

AA

Junior Data Analyst

Apex Retail Analytics

Aug 2019 - May 2020 (9 months)

Wrote SQL queries to extract and transform sales data from MySQL databases, supporting weekly performance reviews for 200+ retail locations. Assisted with Power BI inventory dashboards, reducing stockout incidents by 18% in the first quarter, and maintained delivery documentation in Confluence with execution tracking in Jira.

Education

Degrees, certifications, and relevant coursework

The University of Texas at Austin logoTA

The University of Texas at Austin

Bachelor of Science in Computer Science, Computer Science (Data Analytics concentration)

Activities and societies: Dean's List for 3 consecutive semesters; Member, UT Data Science Society.

Earned a B.S. in Computer Science with a concentration in Data Analytics from The University of Texas at Austin, graduating May 2019. Coursework included database systems, machine learning, statistical computing, data visualization, and software engineering.

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