Portrait of Jagan Ambati

Jagan Ambati

Data Analyst

Hi, I'm Jagan. I make data trustworthy before it becomes a report. In under a year I have validated 55,000+ records, built 40+ Power BI dashboards and cut reporting errors by 20%, so teams can make decisions without second-guessing the numbers.

55K+ records validated-20% errors40+ dashboards
Sample KPI dashboardIllustrative
JanMarMayJul
0records cleaned and validated
0interactive Power BI dashboards
0fewer downstream reporting errors
0less time on weekly data prep

How I work

Every report goes through the same five steps.

๐Ÿ“ฅCollectSQL, Excel, BigQuery
๐ŸงนCleanPandas, Power Query
โœ…ValidateChecks and root cause
๐ŸงฉModelDAX measures
๐Ÿ“ŠDeliverPower BI dashboards

Impact in numbers

What the validation pipeline and automation changed.

Weekly data update time

Before
~6 hrs
After
<1 hr

DAX measures and Power Query replaced a manual weekly refresh.

Dashboards delivered

Internship
15+
ilogitek
25+

KPI cards and slicers built from stakeholder requirements.

Try the dashboard

Sample data. Click the slicers to see KPIs and the chart update, the way my Power BI reports work.

YearCategory
0Sales
0Profit
0Margin

Projects

Click any project to open its interactive, animated dashboard.

Skills

Tools I use every day. Rings fill to show my comfort level.

Power BIAdvanced · 90%
Power QueryAdvanced · 85%
DAXProficient · 80%
SQLAdvanced · 85%
ExcelAdvanced · 90%
PythonProficient · 65%
PandasProficient · 65%
TableauWorking · 60%
BigQueryProficient · 70%
MySQLProficient · 70%
GitHubProficient · 65%
AlteryxWorking · 50%

Methods and tools sphere

Drag to spin

Experience

Measured results, newest first.

Junior Data Analyst

ilogitek Business Solutions, Bengaluru
Aug 2026 – Present
  • Own the full reporting cycle on 50,000+ records, from validation through final dashboard delivery, so business decisions rest on reliable numbers.
  • Diagnosed 50+ recurring data-quality issues through root-cause analysis, turning inconsistent source data into insights stakeholders could act on faster.
  • Shipped 25+ Power BI dashboards from stakeholder requirements, giving teams self-serve KPI access and removing ad-hoc data pulls.
50K+ records validated50+ issues resolved25+ dashboards

Data Analytics Intern

Entri Elevate, Hyderabad
Jan – Jun 2026
  • Built a repeatable validation pipeline in Excel, SQL and Python (Pandas) over 5,000+ records, cutting downstream reporting errors by 20% against the prior month.
  • Delivered 15+ interactive Power BI dashboards with KPI cards and slicers from requirements gathered directly with business teams, reducing manual reporting time by 30%.
  • Automated recurring data prep with DAX and Power Query, taking a ~6-hour weekly update to under 1 hour (~83% faster, about 5 hours saved every week).
-20% reporting errors-30% manual reporting-83% prep time

Virtual Experience Programs

Forage, Deloitte, TATA and job simulations
Jun – Jul 2026
  • Completed hands-on Data Analytics and GenAI-Powered Data Analytics job simulations.
  • Completed Deloitte and TATA virtual experience programs via Forage, working through realistic analyst tasks.
DeloitteTATAGenAI analytics

Certifications

 

Power BI CertificationMicrosoft | Apr 2026
Data Analytics EssentialsCisco Networking Academy | May 2026
Data Analytics and GenAI Job SimulationsJun 2026
Deloitte and TATA simulationsForage | Jun to Jul 2026
Portrait of Jagan Ambati

About me

A data analyst who treats accuracy as the product.

I'm Jagan Ambati, a Junior Data Analyst at ilogitek Business Solutions in Bengaluru, based in Hyderabad. I trained as an electronics and communication engineer (B.Tech, ACE Engineering College), and the habit of debugging a system until it behaves carried straight into my data work.

My work starts upstream of the dashboard: finding out why numbers disagree, fixing it at the source, then building Power BI reports that business teams can use without asking for a data pull. That approach produced a validation pipeline that cut reporting errors by 20% and automation that turned a 6-hour weekly refresh into under 1 hour.

Across Airbnb, HR attrition, retail performance and HRMS vendor pricing projects I have covered the full path from raw data to decision-ready insight with Power BI, DAX, Power Query, SQL, Excel and Python.

EducationB.Tech, ECE
LocationHyderabad, India
FocusReporting and validation
Open toData analyst roles
Email me