---
title: "kataru Akhil - Data Analyst in India | Tal"
description: "Meet kataru Akhil, Data Analyst | SQL | Python | Power BI | Business Intelligence | ETL | Hyderabad | Open to Work based in India. AI stack includes gemini, hugging face, and notion."
image: "https://tal.club/meet/kataru-akhil/share-image"
---

# kataru Akhil on Tal

## Headline

Data Analyst \| SQL \| Python \| Power BI \| Business Intelligence \| ETL \| Hyderabad \| Open to Work

## About

I'm a Data Analyst with 2\.6\+ years of experience turning large\-scale operational and telemetry data into decisions that move the needle\. At People Tech Group, I worked on datasets of 5M\+ records — identifying performance bottlenecks, building anomaly detection pipelines, and automating workflows that the team now relies on daily\. Key outcomes from my work: → Improved system reliability by 28% through SQL and Python\-based root cause analysis → Reduced critical device issues by 22% via automated anomaly detection pipelines → Cut manual reporting effort by 60% by automating ETL and data validation workflows → Delivered Power BI dashboards \(DAX, Power Query\) that became the primary business intelligence tool for operational reporting Core skills: SQL \(CTEs, window functions, joins\) \| Python \(Pandas, NumPy, Matplotlib\) \| Power BI \| ETL \| Data Modeling \| Statistical Analysis \| Business Intelligence \| KPI Development \| Anomaly Detection \| Data Governance\. I'm currently available immediately for Data Analyst and Business Intelligence Analyst roles — in Hyderabad, remote, or open to relocation\. If you're hiring or know someone who is, feel free to reach out: kataruakhil1999@gmail\.com

## Location

India

## AI stack

gemini

hugging face

notion

openai

## Work experience

Data Analyst at People Tech Group Inc, Sep 2023 \- Mar 2026 · 2 yrs 7 mos, Hyderabad, Analyzed 5M\+ telemetry and operational records using SQL and Python to improve system reliability by 28% and reduce critical issues by 22%\. Built Power BI dashboards and automated ETL pipelines that cut manual reporting effort by 60% — now used as the primary business intelligence tool across cross\-functional teams\. → Performed root cause analysis on 5M\+ telemetry records using SQL \(CTEs, window functions\) and Python \(Pandas, NumPy\), identifying performance bottlenecks that improved system reliability by 28% and directly influenced product decisions across stakeholder teams\. → Built and maintained automated data pipelines for anomaly detection across power mode telemetry data — applied statistical modeling and time\-series analysis to reduce critical system issues by 22% and improve data quality and integrity across operational datasets\. → Designed and deployed self\-serve Power BI dashboards \(DAX, Power Query\) as the primary business intelligence reporting tool — reduced validation cycle time by 15% and enabled data\-driven decision\-making across operational teams\. → Automated ETL and data validation workflows using Python \(Pandas, NumPy\) — implemented data integrity and data governance checks that reduced manual effort by 60%, improved data accuracy, and standardised quality controls across production datasets\. → Conducted exploratory data analysis \(EDA\) and time\-series forecasting to identify operational inefficiencies — developed segmentation models to isolate root causes and translated findings into actionable insights for senior stakeholders\. → Partnered with cross\-functional product, engineering, and operations stakeholders in an Agile environment to define KPIs, establish data governance frameworks, and deliver business intelligence reporting that shaped product roadmap decisions\.

## Education

Bachelor of Technology \(B\.Tech\), Electronics & Communication Engineering, kl university

[View the original profile](https://tal.club/meet/kataru-akhil)

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