Sasidhar Reddy

Data Analyst

Bengaluru, India 0+ yrs exp 86 · Excellent

About

Detail-oriented and motivated Data Analyst Fresher with hands-on knowledge of Power BI, SQL, Python, and Excel for data analysis, visualization, and business reporting. Skilled in data cleaning, data transformation, dashboard development, KPI reporting, ETL concepts, and business intelligence to convert raw data into meaningful insights. Experienced through academic and project-based work in performing Exploratory Data Analysis (EDA), statistical analysis, data wrangling, and reporting automation.

Skills & Expertise (40)

Power BI Advanced

8.5/10

Years Exp

Dashboard Development Advanced

8.5/10

Years Exp

DAX Advanced

8.0/10

Years Exp

Business Intelligence Advanced

8.0/10

Years Exp

SQL Advanced

8.0/10

Years Exp

Exploratory data analysis Advanced

8.0/10

Years Exp

Data Wrangling Advanced

8.0/10

Years Exp

Python Advanced

8.0/10

Years Exp

Power Query Advanced

8.0/10

Years Exp

Data Modeling Intermediate

7.5/10

Years Exp

Statistical Analysis Intermediate

7.5/10

Years Exp

Excel Intermediate

7.5/10

Years Exp

Data-driven decision making Stored Procedures Query Optimization Data Validation ETL Data Cleaning Subqueries Reporting Automation Jupyter Notebook Google Colab VS Code Git GitHub Window Functions VLOOKUP Aggregations Joins MySql KPI Reporting Automation Scripting Seaborn Matplotlib NumPy Pandas Pivot Tables Tableau Conditional Formatting HLOOKUP

Work Experience

Data Analyst Intern

A2M Infotech Private Limited

Jan 2026 - Present

Engineered ETL pipelines to collect, clean, and preprocess 50,000+ structured and unstructured records daily using Python (Pandas, NumPy) and SQL, ensuring 99% data quality for downstream reporting. Designed and deployed 5+ interactive Power BI dashboards with DAX measures, drill-through reports, and dynamic KPI tracking, used by 10+ cross-functional stakeholders to monitor operational performance. Optimized complex SQL queries including joins, subqueries, window functions, and stored procedures, reducing average report query time by 40%. Automated repetitive data processing and reporting workflows using Python scripts, cutting manual effort by ~35% and saving 8+ hours per week. Performed end-to-end exploratory data analysis (EDA) and statistical analysis to surface trends and actionable insights, directly informing 3 business decisions per quarter. Collaborated with cross-functional stakeholders to gather requirements, translate business needs into analytical solutions, and deliver data-driven recommendations.