About
Detail-oriented and analytical Junior Data Analyst with hands-on experience in collecting, cleaning, and analyzing data from multiple sources to support business decision-making. Proficient in MS Excel (VLOOKUP, INDEX-MATCH, Pivot Tables, Advanced Charts), SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), and Power BI dashboard development. Skilled at identifying trends, generating actionable insights, preparing stakeholder reports, and ensuring data accuracy and consistency. Passionate about transforming raw data into clear, meaningful visualizations and reports that drive informed business decisions.
Skills & Expertise (46)
Work Experience
Data Analyst Intern
HisanLabs Pvt. Ltd.
Jul 2025 - Present
Collected, cleaned, and organized data from multiple sources — SQL databases, CSV files, Excel sheets, and APIs — using Python (Pandas, NumPy) and SQL, ensuring data accuracy, completeness, and consistency. Performed exploratory data analysis (EDA) to identify trends, patterns, and anomalies, delivering data-driven insights that supported business decision-making for senior stakeholders. Created interactive Power BI dashboards and reports tracking key business KPIs, enabling real-time visibility into operational and financial performance across teams. Built advanced Excel reports using VLOOKUP, INDEX-MATCH, Pivot Tables, and Data Validation for ad-hoc management reporting, operational analysis, and stakeholder presentations. Ensured data accuracy and consistency by developing data quality standards and validation procedures — identifying and resolving missing values, duplicates, outliers, and inconsistencies across datasets. Prepared clear documentation and reports translating complex analytical findings into accessible narratives for non-technical stakeholders and management teams. Collaborated with cross-functional teams (Sales, Product, Finance) to understand data requirements and translate business questions into structured, actionable analytical tasks. Applied statistical techniques including hypothesis testing, correlation analysis, and distribution analysis to validate insights and support data-driven recommendations. Automated repetitive data preparation and reporting workflows using Python scripts and n8n, significantly reducing manual processing time and improving team efficiency.
Education
B.Sc. in Computer Science - Haribhai V. Desai College of Arts and Science
2022 - 2025 · India
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