
Data with less than a year in SQL, Python, & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands on experience in SQL, Python, Excel, Tableau and Power BI for data analysis, reporting, and dashboard development. Skilled in data cleaning, ETL processes, and exploratory data analysis to generate business insights and KPI tracking. Experience working with data warehouses, data modeling, and query optimization for large datasets. Focused on building scalable reporting solutions and supporting data-driven decision-making.
Malla Reddy University, Hyderabad
B. Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College, Hyderabad
Intermediate · MPC
June 1, 2019 – May 31, 2021
Geetha High School, Medak
SSC
June 1, 2019 – May 31, 2019
Online Retail Business
March 1, 2026 – April 1, 2026
Analyzed 10,000+ transaction records using Pandas and NumPy to identify revenue trends and customer behavior. Applied data cleaning, preprocessing, and transformation techniques to improve dataset quality. Built KPI metrics for sales performance, customer segmentation, and product demand analysis. Developed a Streamlit dashboard for real-time reporting and business performance tracking to support business decisions on product strategy and customer targeting.
Data Warehouse Development and BI Reporting
February 1, 2026 – March 1, 2026
Architected a data warehouse integrating multiple structured sources for centralized analytics and BI reporting. Engineered ETL pipelines processing 50,000+ records- extraction, transformation, and loading into optimized star schema data models. Applied indexing and SQL query optimization techniques, reducing query execution time by 40%. Established scalable data models enabling efficient KPI tracking, dashboard integration, and reporting automation.
Global Job Market Analysis
December 1, 2025 – January 1, 2026
Cleaned and examined more than 1,000 job advertisements across more than 10 countries, identifying some significant trends in recruiting practices and salary disparities. Used preprocessing and data cleaning techniques including converting data, preparing data for analysis and imputing missing values. Used exploratory data analysis (EDA) techniques to identify the distribution of jobs, salaries and hiring patterns over a period for different countries through global datasets. Designed an interactive Power BI dashboard for visualizing job demands, salary trends and monthly hiring patterns.
Data Analytics Job Simulation
Deloitte Australia - Forage
April 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
Tata - Forage
April 1, 2026 – Present
Data Science Course
Medha Edu Tech
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within data analysis, including job market analysis, online retail, and data warehousing, indicating a broad interest in applying data skills to different domains. The certifications in Data Science and Data Analytics simulations suggest a proactive approach to learning and aligning with industry practices. However, the lack of professional experience limits the assessment of cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, apply analytical techniques, and present findings through dashboards. The academic nature of projects suggests a foundational understanding of data analysis workflows. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or adaptability in a professional operational environment.