Batul Husain

Data Analyst

Maharashtra, India 1+ yrs exp 82 · Excellent

About

Data Analyst with 1 year of experience in data cleaning, validation, exploratory data analysis, dashboard development, and business reporting. Skilled in SQL (MySQL), Python (Pandas), Excel, and Power BI (Power Query, DAX) to identify trends, track KPIs, and support data-driven decisions. MCA graduate with a strong foundation in analytical thinking and problem-solving. Experienced in writing SQL queries, transforming datasets, and performing data quality checks to ensure accurate and reliable reporting. Capable of translating complex data into meaningful insights and actionable recommendations to improve business performance and support stakeholder requirements.

Skills & Expertise (32)

Data Transformation Intermediate

7.5/10

Years Exp

Data Validation Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Interactive Dashboards Intermediate

7.0/10

Years Exp

Jupyter Notebook Intermediate

7.0/10

Years Exp

Google Colab Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

Exploratory data analysis Intermediate

7.0/10

Years Exp

MySQL WorkBench Intermediate

6.5/10

Years Exp

Data Profiling Intermediate

6.5/10

Years Exp

Spyder VS Code Business Reporting KPI Monitoring Report Automation Data Extraction Conditional Formatting Countifs SUMIFS XLOOKUP VLOOKUP Pivot Tables KPI Cards Data Modeling Data Aggregation duplicate detection Missing value treatment GROUP BY Joins Trend Analysis

Work Experience

Data Analyst

Cognizant

Sep 2025 - Present

Analyze structured datasets using SQL, Python, and Excel to identify trends, performance variations, and business insights. Clean and transform raw data with Python Pandas and Excel to improve consistency, accuracy, and usability. Write SQL queries using joins, filtering, grouping, and aggregate functions to extract data for analysis and reporting. Develop Power BI dashboards with Power Query transformations and DAX measures to monitor KPIs and operational metrics. Validate data by checking missing values, duplicates, inconsistent formats, and outliers. Present analytical findings to stakeholders to support data-driven decision-making.