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Data Analyst with 1+ years in Power BI and Cloud Technologies
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Assessing your cultural and operational fit
Data Analyst and Power BI Support Engineer with hands-on experience in Power BI, SQL, Excel, Python, Azure, and Snowflake. Skilled in dashboard development, business reporting, KPI tracking, data analysis, and generating actionable business insights. Experienced in resolving reporting issues, monitoring ETL workflows, and supporting data-driven business decision-making processes. Passionate about analytics, automation, and solving real-world business problems using data.
CMR Technical Campus
B.Tech · Information Technology
August 1, 2022 – June 30, 2025
Anurag Engineering College
Diploma · Civil Engineering
August 1, 2019 – June 30, 2022
Texplorers
Power BI Support Engineer
January 1, 2026 – May 1, 2026
Telangana, India
Algonive
Data Analytics Intern
June 1, 2025 – December 1, 2025
Telangana, India
Snowflake Data Warehouse and Sales Analytics Project
June 1, 2026 – Present
Designed and managed a cloud-based data warehouse solution using Snowflake for sales analytics and reporting. Loaded and transformed structured sales datasets using SQL and ETL concepts for business analysis. Performed data validation, querying, and optimization using Snowflake SQL. Created analytical reports and KPI dashboards for sales performance tracking. Implemented data modeling techniques to improve reporting efficiency and data accessibility. Technologies Used: Snowflake, SQL, Power BI, Azure, ETL Pipelines.
Customer Segmentation using Python & Power BI
June 1, 2026 – Present
Performed RFM analysis and clustering on 10,000+ customer records to identify customer behavior patterns. Implemented K-Means clustering algorithm using Python and Scikit-learn. Conducted data preprocessing, feature engineering, and exploratory data analysis. Built interactive Power BI dashboards to visualize customer segments and KPIs. Technologies Used: Python, Pandas, NumPy, Power BI
Email Spam Detection using Machine Learning
June 1, 2026 – Present
Developed a machine learning classification model achieving 95%+ accuracy for spam email detection. Applied NLP preprocessing techniques including tokenization and TF-IDF vectorization. Performed model training, testing, and evaluation using Scikit-learn algorithms. Technologies Used: Python, Scikit-learn, NLP, Pandas, NumPy.
Sales Data Analysis and Forecasting
June 1, 2026 – Present
Analyzed sales datasets to identify trends and business growth opportunities. Built Power BI dashboards reducing manual reporting time by 30%. Performed KPI tracking and forecasting analysis using Excel and Python. Technologies Used: Power BI, Excel, SQL, Python.
Advanced Excel and Cloud Computing
Infosys
June 1, 2026 – Present
Microsoft Power BI Certification
Microsoft
June 1, 2026 – Present
Python - Infosys Springboard
Infosys Springboard
June 1, 2026 – Present
Data Management Systems Program
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales analytics, customer segmentation, and spam detection, indicates a broad interest in applying data analysis techniques across different domains. The certifications in Excel, Power BI, and Python align well with a Data Analyst role. However, the limited professional experience (less than a year combined) and the academic background in Civil Engineering followed by Information Technology suggest a candidate still early in their dedicated data career, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through resolving production support issues and developing ML models. Collaboration is evident in working with cross-functional teams. Time management is listed as a skill and implied by project completion. The candidate's experience as a Power BI Support Engineer suggests an operational fit for roles requiring data reliability and reporting system maintenance.