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