Anil

Data Analyst

1+ yrs exp 82 · Excellent

About

Detail-oriented Data Analyst with hands-on professional experience building dashboards, automating reports, and cleaning data using SQL, Power BI, Tableau, and Excel. Complements this with project-based expertise in exploratory data analysis (EDA), statistical analysis, and AI/ML data annotation (YOLOv8, Faster R-CNN). Proven track record of delivering accurate, decision-ready reporting and reducing manual reporting effort. Seeking a Data Analyst role to apply strong analytical skills and attention to detail toward driving data-informed business decisions.

Skills & Expertise (37)

Pandas Intermediate

5.5/10

Years Exp

NumPy Intermediate

5.5/10

Years Exp

SQL Intermediate

5.5/10

Years Exp

Python Intermediate

5.5/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Data Quality Assurance Intermediate

5.5/10

Years Exp

Dashboard Design Intermediate

5.5/10

Years Exp

Report Design Intermediate

5.5/10

Years Exp

Excel Intermediate

5.5/10

Years Exp

Exploratory data analysis Intermediate

5.5/10

Years Exp

Data Cleaning Intermediate

5.5/10

Years Exp

Performance evaluation Data Storytelling Map Reporting Automation Attention to Detail Analytical Thinking Problem-solving Leadership Team Collaboration Critical thinking Communication YOLOv8 Data Labeling Image annotation Matplotlib Univariate Analysis Outlier Treatment Statistical Analysis Streamlit Interactive Reporting DAX Dashboards Query Optimization Window Functions Joins

Work Experience

Data Analyst

Tech Pro Solutions

Apr 2025 - Jun 2026

Built and maintained interactive dashboards in Tableau, Power BI, and Excel to support recurring business reporting needs. Cleaned, validated, and prepared datasets used across multiple dashboards, ensuring accuracy and consistency of reported metrics. Wrote SQL queries to extract and transform data from relational databases for regular reporting cycles. Performed exploratory data analysis (EDA) to surface trends and flag data quality issues before reporting. Automated recurring reporting workflows, reducing manual reporting time and freeing up time for deeper analysis. Delivered regular dashboards and reports to stakeholders to support day-to-day and strategic decision-making.