Penubaku Siddardha
Data Analyst • Hyderabad, India • p*************@gmail.com • +91*******279 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Data Analyst with 2.7 years of experience delivering analytics, BI and automated MIS pipelines using Power BI, SQL and Python across healthcare and infrastructure domains. Skilled in designing role-based Power BI dashboards with DAX and Power Query, building SQL ETL and pandas data pipelines, and operationalizing Excel-based MIS to provide real-time KPI visibility to clinical, administrative and maintenance teams. Experienced in hospital operations analytics and BMS telemetry analysis; I have architected scorecards and time-intelligence measures to support executive decision-making and preventive maintenance planning. Certified Microsoft Power BI Data Analyst (PL-300) and Google Data Analytics certified, I take end-to-end ownership of data pipelines, ensure data quality, and translate operational data into measurable process and cost improvements.
Technical Skills
Programming Language: Python,SQL
Data Warehousing: Data Modeling
Data Analysis & Visualization: Pandas,Power BI,DAX,Power Query,Data Cleaning,Time-intelligence
Machine Learning & AI: Time Series Analysis
Data Integration & ETL: ETL
Pharmaceutical Manufacturing & Operations: Preventive Maintenance
Financial Reporting & Compliance: MIS Reporting
Work Experience
Clancy Global Pvt. Ltd. (Client: Cloudnine Hospitals)
Data Analyst
Dec 2025 – Present
Provided analytics and BI for Cloudnine Hospitals (private hospital chain); delivered dashboards and automated MIS to clinical and administrative teams.
Tech Stack: Power BI, DAX, SQL, Python, pandas, Excel
- Architected and deployed 10+ role-based Power BI reports using Power BI and DAX to deliver real-time KPIs for clinical and administrative stakeholders.
- Automated daily MIS pipelines using Python scripts and Excel macros, cutting manual report preparation time from 4 hours to 30 minutes per run.
- Built complex DAX measures and time-intelligence calculations to monitor length-of-stay, bed-occupancy and procedure volumes for executive trend analysis.
- Designed and maintained SQL ETL queries and transformations to extract, join and validate patient encounter and operational datasets across sources.
- Investigated anomalies in admissions and billing datasets using pandas to identify root causes, leading to a 12% reduction in billing mismatches.
- Created operational scorecards and interactive dashboards that informed staffing and inventory decisions for multiple clinical units.
Dee Vee Projects Ltd.
Junior Engineer II – Data & Operations
Nov 2023 – Nov 2025
Analyzed building-management system (BMS) telemetry and equipment performance across HVAC, electrical and backup power to support preventive maintenance.
Tech Stack: Python, SQL, Excel, Time-series analysis
- Monitored real-time BMS telemetry and performed time-series analysis in Python to detect deviations in HVAC and power-system behavior.
- Developed SQL queries to aggregate sensor logs and produce daily performance summaries used by operations teams for trend monitoring.
- Implemented threshold-based alerts and Excel KPI visualizations that reduced reactive maintenance tickets by 25%.
- Identified root-cause patterns across electrical and UPS datasets, enabling schedule adjustments that lowered emergency interventions by 30 incidents annually.
- Standardized ingestion and schema formats from multiple BMS vendors to improve data quality and simplify downstream analysis.
- Produced periodic reports and dashboards to support preventive maintenance planning and stakeholder reviews.
Projects
IPL Data Analysis Dashboard
Tools Used: Power BI, DAX, Power Query, Data Cleaning
- Built an interactive Power BI dashboard analyzing multi-season IPL match data to surface team performance, player stats and venue trends.
- Designed DAX measures and calculated columns to compute KPIs such as win percentage, strike rate and economy rate across seasons.
- Cleaned and transformed raw match and player datasets in Power Query to ensure consistency across multiple sources.
- Implemented slicers, drill-throughs and trend visuals enabling stakeholders to filter insights by team, player, venue and season.
AdventureWorks Sales & Business Performance Analysis
Tools Used: SQL, Power BI, DAX
- Queried the AdventureWorks sales database with SQL joins, subqueries and aggregations to identify top products and customer segments.
- Developed a Power BI dashboard visualizing sales trends, profit margins and regional performance to support business decisions.
- Built DAX-based KPIs and time-intelligence measures (YoY, MTD, YTD) to track revenue and growth over time.
Education
KITS College of Engineering & Sciences
M.Tech in CAD/CAM (Part-time) • 2026
QIS College of Engineering & Technology
B.Tech in Mechanical Engineering • 2024
Rise Krishna Sai Polytechnic College
Diploma in Mechanical Engineering • 2020
Certifications
Microsoft Power BI Data Analyst — PL-300 — Microsoft
Google Data Analytics Professional Certificate — Google
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