Data Analyst Power Bi
Resume:
Nikhilesh Reddy Cheruku
Data Analyst
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www.linkedin.com/in/nikhileshreddycheruku
Halethorpe, MD
Data Analyst with 3+ years of experience delivering actionable insights from complex datasets across telecom, marketing, and smart city domains. Proficient in SQL, Python, Power BI, and Excel for data extraction, cleaning, transformation, and visualization. Skilled in statistical analysis, predictive modeling, and data wrangling to support business strategies and operational improvements. Experienced in automating reporting workflows and building interactive dashboards to enhance decision-making processes. Collaborated with cross-functional teams to optimize KPIs, improve customer insights, and drive data-driven initiatives. Certified in Azure Data Science, with hands-on experience in data storytelling and visualization techniques. Work Experience
Data Analyst
TaskTech Recruiters Dallas, TX
May 2025 - Aug 2025
Cleaned and prepared CRM datasets using Python to improve data quality and consistency for analysis across customer segments.
Developed and maintained interactive Power BI dashboards linked to Azure data sources, enabling real-time monitoring of customer churn and behavior trends.
Conducted exploratory data analysis to identify key factors influencing customer churn and delivered actionable insights to marketing and retention teams.
Automated routine data workflows to ensure timely updates and accuracy of churn-related reports. Used data visualization and reporting to communicate trends and insights clearly to stakeholders, enhancing data- driven decision-making.
Collaborated with cross-functional teams to translate analytical findings into strategies that increased customer retention by 15%.
Business Intelligence Analyst
IBM Pvt Ltd Bengaluru, India
Oct 2021 - Apr 2022
Analyzed customer behavior using Python and SQL (PostgreSQL), delivering insights that helped clients like KPMG improve targeting strategies and boost marketing precision by 22%. Automated data preparation workflows using Pandas and Apache Airflow, reducing manual data handling by over 40% and ensuring timely delivery of clean datasets. Designed and deployed interactive Power BI dashboards to visualize churn risk and customer segments, enabling leadership to act on insights with increased confidence. Conducted data-driven analysis and optimization using cross-validation techniques, improving performance metrics across marketing and retail datasets.
Created summary reports and data narratives to help non-technical stakeholders understand key trends and patterns in customer data.
Maintained well-documented data workflows using Jupyter Notebooks and Git, ensuring reproducibility and collaboration across teams.
Built modular and reusable analysis templates for reporting and ad hoc analysis, reducing turnaround time and improving team efficiency.
Collaborated with client-facing teams to deliver actionable insights in accessible formats, supporting real-time business decisions.
Jr. Data Analyst
Treosoft Bengaluru, India
Oct 2021 - Apr 2022
Analyzed sensor data from smart poles, lighting, and parking systems using SQL and Python, enabling predictive maintenance and reducing service disruptions by 25%. Built automated ETL pipelines with T-SQL and SQL Server Agent to streamline data ingestion from IoT devices, providing near real-time updates for operational dashboards. Designed Tableau dashboards to visualize trends in lighting usage and parking availability, improving visibility and decision-making for city administrators.
Collaborated with engineering teams to standardize sensor metadata schemas, ensuring clean and reliable data flow across smart city systems.
Optimized SQL queries and added indexing strategies, reducing dashboard load times and enhancing the user experience.
Developed Python scripts to validate telemetry data against operational thresholds, flagging anomalies for timely maintenance.
Supported integration of model-derived insights into Tableau dashboards via API-synced datasets, enabling more responsive urban planning.
Documented data pipelines and schema updates across smart city modules to improve knowledge sharing and future scalability.
Projects
Conversational BI for Customer Churn \
Developed and refined question templates and summary outputs to improve query relevance, increasing the accuracy of insights retrieved by 40%.
Integrated Power BI datasets using REST APIs to generate dynamic, on-demand visual reports, helping executives access key metrics without manual dashboard navigation. Streamlined access to churn trends and business KPIs, enhancing data-driven decision-making and reducing dependency on ad hoc analyst reports.
Designed an interactive data access interface that allowed business users to explore churn insights through natural language queries across enterprise datasets.
Customer Segmentation & Campaign Optimization (KPMG Project – IBM) Identified key features driving each segment’s behavior, delivering clear insights that improved campaign relevance and boosted conversion rates by 28%.
Developed a reusable segmentation workflow with retraining logic and detailed documentation, allowing the client to update and adapt the solution independently over time. Analyzed structured retail data using Python and SQL to segment customers by purchasing behavior, enabling more targeted regional marketing campaigns.
Smart Parking Data Analysis & Optimization using IoT, SQL & Tableau Analyzed parking patterns by time and location to identify peak congestion areas, supporting better resource planning for enforcement teams.
Built interactive Tableau dashboards to visualize parking occupancy trends and availability forecasts, enabling urban planners to make real-time, data-driven decisions. Collected and transformed sensor data from smart parking systems using Python and automated SQL workflows, standardizing inputs for analysis across city zones. Technical Skills
Python, Pandas, NumPy, Matplotlib, Seaborn, SQL, Excel, Pivot Tables, Macros, VBA, PostgreSQL, MS SQL Server, Oracle, BigQuery, Redshift, MySQL, Power BI, DAX, Power Query, Tableau, Excel Dashboards, Plotly, Apache Airflow, Azure Data Factory, SQL Server Agent, Alteryx, Azure, AWS, S3, Redshift, statistical analysis, predictive modeling, data wrangling, data storytelling
Education
Indiana Wesleyan University
Master of Science - Artificial Intelligence with Data Analytics R.M.K College of Engineering and Technology
Bachelor of Engineering - Electrical and Electronics Engineering Certificates
Oracle Database SQL Certified Associate
Oracle
Microsoft Certified: Azure Fundamentals
Microsoft
Oracle Data Platform 2025 Foundations Associate
Oracle
Cisco Python Essentials 1
Cisco
Oracle Cloud Infrastructure 2025 Certified Foundations Associate Oracle
IBM Data Fundamentals
IBM
Microsoft Certified: Azure Data Scientist Associate Microsoft
Dec 2025
Aug 2021
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