About
Data Analyst with 2 years of experience in SQL, Python, Power BI, and Microsoft Excel. Specializes in data cleaning, data transformation, exploratory data analysis, KPI reporting, and dashboard development. Proven ability to extract actionable business insights from complex datasets and present findings clearly to stakeholders. Skilled in ETL processes, statistical analysis, trend analysis, and demand forecasting. Adept at automating reporting workflows and supporting data-driven decision-making across business operations and strategy.
Skills & Expertise (35)
Work Experience
Data Analyst
SQL Data Analysis
Jul 2024 - Sep 2024
Wrote complex SQL queries using Joins, CTEs, Window Functions, Subqueries, and Aggregations to extract and analyze structured data from relational databases. Performed data cleaning, transformation, and validation to maintain data quality and integrity across all analytical datasets and business reports. Created KPI reports and performance datasets to support business intelligence requirements and management reporting workflows. Optimized SQL query logic to reduce data retrieval time and improve overall reporting efficiency and system performance.
Data Analyst
Inventory Analysis and Optimization
Apr 2024 - Jun 2024
Analyzed large inventory datasets using Python with Pandas and NumPy to detect stock inefficiencies, optimize inventory levels, and reduce excess carrying costs. Applied demand forecasting and trend analysis to predict replenishment cycles and prevent stockout and overstock situations across product lines. Designed Power BI KPI dashboards to track stock turnover rates, inventory utilization, and demand patterns for operations and supply chain teams. Implemented data validation and quality checks across all inventory reports to verify accuracy and reliability before stakeholder distribution. Produced statistical visualizations using Matplotlib and Seaborn to support business reporting and inventory planning presentations.
Data Analyst
Telecom Customer Churn Analysis
Jan 2024 - Mar 2024
Extracted and transformed telecom customer records from relational databases using SQL including Joins, CTEs, Window Functions, and Aggregations to create clean analytical datasets. Conducted exploratory data analysis using Microsoft Excel Pivot Tables, VLOOKUP, and advanced formulas to identify primary drivers of customer churn across customer segments. Built interactive Power BI dashboards to track churn rate, customer retention KPIs, revenue impact, and high-risk segments for real-time business monitoring. Performed trend analysis across customer cohorts and delivered data-driven recommendations to support targeted retention strategies and reduce churn risk. Automated data preparation workflows using Power Query, reducing manual effort and improving reporting consistency and accuracy.
Education
Bachelor of Management Studies (BMS) - Mumbai University
- · Afghanistan
Higher Secondary Certificate (HSC) - Maharashtra State Board
- · Afghanistan
Secondary School Certificate (SSC) - CBSE
- · Afghanistan
Certifications
Professional Certification in Data Analysis and Visualization
· 2025
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Skills (35)
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