Data Analyst with less than a year in Data Analytics
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Results-oriented MBA graduate specializing in Data Analytics with hands-on experience in SQL, Python, Power BI, and Advanced Excel. Demonstrated ability to transform complex datasets into actionable business insights through comprehensive data analysis projects including COVID-19 trends, sales analytics, and accident data visualization. Strong proficiency in data cleaning, statistical analysis, and dashboard development. Seeking entry-level Data Analyst position to leverage analytical skills and contribute to data-driven decision making in a dynamic organization. Available for immediate joining.
Osmania University
Master of Business Administration (MBA) · Data Analytics
October 1, 2023 – June 1, 2025
Osmania University
Bachelor of Business Administration (BBA) · Business Management
June 1, 2020 – September 1, 2023
COVID-19 Data Analysis & Visualization
January 1, 2024 – December 31, 2024
Analyzed 500K+ records of COVID-19 data across multiple regions to identify infection trends and mortality patterns. Built interactive Power BI dashboards with drill-down capabilities, enabling stakeholders to track cases by region and time period. Utilized SQL queries with JOINS, aggregations, and window functions to extract and transform data from relational databases. Applied Python (Pandas, Matplotlib) for statistical analysis and trend forecasting, improving data accuracy by 25%.
Sales Performance Analytics Dashboard
January 1, 2024 – December 31, 2024
Developed comprehensive sales analytics dashboard tracking KPIs including revenue, profit margins, and customer segments. Implemented data cleaning processes using SQL to handle missing values and standardize formats across 100K+ transactions. Created dynamic Excel reports with pivot tables and advanced formulas (SUMIFS, INDEX-MATCH) for ad-hoc analysis. Generated actionable insights leading to identification of top-performing products and underperforming regions.
Road Accident Data Insights
January 1, 2023 – December 31, 2023
Performed exploratory data analysis on road accident dataset containing 50K+ records to identify high-risk factors. Utilized Python libraries (Pandas for data manipulation, Seaborn for visualization) to uncover correlations between variables. Designed statistical models to analyze accident patterns by time, location, and contributing factors. Created clear visualizations and reports communicating findings to non-technical stakeholders.
Introduction to Data Science
Unknown
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
Tata Consulting Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analytics skills across diverse scenarios (COVID-19, Sales Performance, Road Accidents). The certifications, including a GenAI Powered Data Analytics simulation, show an interest in emerging technologies and continuous learning. The stated collaborative mindset and experience with cross-functional teams suggest a good cultural fit for dynamic, team-oriented environments. However, the lack of professional experience means cultural fit is primarily inferred from academic and project work.
Soft Skills & Operational Fit
The candidate highlights strong analytical and problem-solving abilities, effective communication for translating data into insights, and a collaborative mindset. These traits are crucial for a Data Analyst role, indicating a good operational fit for data-driven environments and team collaboration. The experience with large datasets and building automated reports suggests an ability to handle typical data analyst responsibilities.