About
Highly motivated Data Analyst skilled in Python, SQL, Tableau, Power BI, and Excel for data analysis, visualization, and business intelligence reporting. Experienced in building predictive models, performing EDA, and designing interactive dashboards that drive actionable insights. Adept at data cleaning, feature engineering, KPI tracking, and time series forecasting to optimize business performance and improve operational efficiency. Proven ability to translate complex datasets into business strategies that improve decision-making.
Skills & Expertise (41)
Work Experience
Data Analyst Intern
Birla Pivot
Present - Present
- Supporting data analysis and reporting activities to identify business trends and insights. - Performing data cleaning, transformation, and validation to ensure data accuracy and consistency. - Assisting in developing reports and dashboards for business performance monitoring. - Creating data visualizations and analytical reports to support decision-making. - Collaborating with teams in analyzing datasets and generating actionable insights.
Data Analyst Intern
Dynamic Web Tech
Mar 2025 - Apr 2025
- Built a credit card fraud detection model using Logistic Regression in Python, improving detection accuracy by 15% through feature engineering and model optimization. - Processed and cleaned transactional datasets, handling imbalanced data using SMOTE and undersampling, ensuring high-quality model inputs. - Conducted EDA on 100k+ transactional records to identify fraud patterns, anomalies, and high-risk transactions. - Developed visualizations in Matplotlib and Seaborn to communicate insights to stakeholders. - Evaluated model performance using precision, recall, F1-score, and ROC-AUC metrics to ensure reliability.
Business Analyst Intern
Lab Metrix
Mar 2025 - Mar 2025
- Performed time series forecasting on FBI crime data using Python and Tableau, predicting monthly incidents with accuracy improvements of 12%. - Built predictive models and conducted statistical analysis to identify crime hotspots and temporal patterns. - Designed interactive Tableau dashboards visualizing trends, geographic distribution, and forecasted insights. - Cleaned and transformed 50k+ records, handling missing values and outliers to ensure high data integrity.
Analyst
HCL
Jan 2020 - Jan 2023
- Analyzed system performance data and incident logs using SQL, resolving recurring issues and improving system uptime from 85% to 98%. - Automated service request and SAR transaction processes using ITPA IDs, reducing manual processing time by 30%. - Developed Excel dashboards with pivot tables and charts to monitor ticket resolution and operational KPIs. - Conducted root cause analysis for SCCM, VPN, and Outlook issues, reducing average resolution time by 20%. - Generated weekly and monthly KPI reports using SQL and Excel to track response time, resolution rate, and customer satisfaction.
Education
Master of Business Administration (MBA) – Business Analytics - SRM University
2024 - 2025 · Afghanistan
Bachelor of Technology (B.Tech) – Computer Science - SR Engineering College
2016 - 2020 · Afghanistan
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Citizen
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Open to Relocation
