About
Experienced Data Analyst with a strong background in interpreting and transforming complex datasets into actionable insights that drive strategic decisions. Proficient in SQL, Python, Power BI, and statistical analysis, with expertise in data visualization, reporting, and process optimization. Passionate about applying emerging technologies and AI, to enhance predictive analysis and deliver greater business value.
Skills & Expertise (16)
Work Experience
Data Analyst
Sonacore LLP
Nov 2021 - Feb 2023
Collaborated with cross-functional teams to identify and solve data related challenges, enhancing overall data quality and accuracy. Clean and preprocess data to remove duplicates handle missing values, and format data appropriately for analysis. Developed interactive dashboards and visualizations using Power BI, improving data-driven decision-making for the team.
Data Analyst
Save Microfinance Pvt. Ltd.
Jan 2024 - Nov 2025
Applied data analysis techniques using SQL and Python (Pandas, NumPy) to transform raw data into meaningful insights, supporting evidence-based decision-making and automated AI-driven reporting. Developed interactive Power BI dashboards for multiple business units (Micro Finance, Housing Loans), using SQL queries and Python scripts for data extraction, cleansing, and transformation. Gathered business requirements and coordinated with cross-functional teams to deliver SQL-, Python-, Power BI-, and Excel-based analytical solutions for marketing and operations data. Prepared quarterly regulatory reports for RBI, MFIN, and Sa-Dhan by consolidating and validating large datasets using SQL and Python (Pandas) to ensure accuracy and compliance. Analyzed business performance, customer behavior, and operational efficiency across branches using SQL queries and Python exploratory data analysis (EDA) to identify key trends and performance gaps. Led initiatives to automate daily and monthly reports using Python and SQL, reducing manual reporting effort by 70% on a daily basis. Utilized SQL for data extraction and Python for data cleaning and aggregation, along with Excel (pivot tables, charts, conditional formatting, slicers) to create dynamic, near real-time dashboards tracking branch performance. Used advanced Excel formulas, SQL, and Python (Pandas, NumPy) to process large datasets, identify trends, and generate actionable insights; recommended targeted actions for underperforming branches, driving a 15% increase in regional business performance.
Education
Data Analyst - Ducat, Pitampura
2023 - 2023 · Afghanistan
MBA in Operation Management - NMIMS, Mumbai
2021 - 2023 · Afghanistan
B-Tech in Mechanical Engineering - Maharshi Dayanand University, Rohtak
2018 - 2021 · Afghanistan
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Skills (16)
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