Pooja Sharma

Business Analyst

Ludhiana, Punjab, India3 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in data visualization tools like Tableau and Power BI.
Hands-on experience in statistical analysis and data cleaning.
Strong foundation in financial management and accounting.

Stackforce AI infers this person is a Data Analyst with expertise in SaaS and Financial Management.

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Skills

Core Skills

Data AnalysisData VisualizationFinancial Management

Other Skills

Account ManagementAccount ReconciliationAccountingAccounting SoftwareAccounting StandardsAnalytical SkillsAnalyticsArtificial Intelligence (AI)Balance SheetsBank ReconciliationBankingBookkeepingBusiness AnalysisBusiness InsightsBusy accounting software

About

With a solid foundation in commerce from Panjab University and hands-on experience as a data analyst intern at Unified Mentor, my journey has been marked by a meticulous attention to detail and a proficiency in data visualization. During my tenure at Rohini Fabrics as an account executive, my core competencies in statistical analysis and client management flourished. The opportunity to lead projects and analyze business requirements at Unified Mentor sharpened my skills in Python and Tableau, allowing me to contribute substantially to team success. My commitment to excellence is reflected in my dedication to continuous learning, as evidenced by the recent certifications in PowerBi and Data Analytics from GrowthSchool. I am eager to bring my analytical acumen and passion for data-driven solutions to a forward-thinking team.

Experience

3 yrs 6 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Labmentix

Data Analyst Intern

Feb 2025 – May 2025 · 3 mos · Bengaluru, Karnataka, India · Remote

● Collected, cleaned, and analyzed datasets using Python (Pandas, NumPy, Seaborn, Matplotlib) to generate actionable business insights.
● Developed interactive dashboards and visual reports using Power BI and Tableau, improving data visibility for key stakeholders.
● Conducted exploratory data analysis (EDA) to identify trends, patterns, and outliers in customer and product data.
● Automated data preparation tasks, reducing manual reporting time by 30%.

Python (Programming Language)MatplotlibpandasData WarehousingSeabornMicrosoft Power BI+5