About
Data-driven analyst with 3.5+ years of experience transforming complex datasets into actionable business insights. Expertise in statistical analysis, predictive modelling, and data visualization using Python, SQL, and Power BI. Proven success in process automation, performance optimization, and delivering measurable business impact. Strong foundation in machine learning with hands-on experience achieving 92% model accuracy. Passionate about leveraging analytics to solve business problems and drive strategic decision-making.
Skills & Expertise (21)
Work Experience
Data Analyst
HCL Technologies
Sep 2022 - Present
Support Microsoft enterprise products by analyzing performance data and user metrics, identifying trends and anomalies that drive monthly optimization strategies for Fortune 500 clients. Generate comprehensive monthly analytical reports with SQL-driven insights and Power BI dashboards, providing actionable recommendations that improved customer satisfaction scores by 15%. Automated ticket tracking and resolution workflows using Python, reducing manual effort by 40% and decreasing average resolution time by 25%. Monitor and analyze system performance metrics across multiple environments, implementing predictive models to identify potential issues before they impact operations. Developed training curriculum and evaluated performance metrics for 20+ new analysts, improving team productivity and data quality standards.
Data Analyst Trainee
The Sparks Foundation
Sep 2020 - Oct 2020
Performed statistical analysis and exploratory data analysis on educational datasets, uncovering insights that informed program development decisions. Collaborated with NGO leadership to design cost-effective online education platform, analyzing student performance data to optimize learning outcomes. Created automated monthly reporting system using Google Sheets and Python, streamlining data management for 500+ student records.
Data Engineer Intern
Med Tour Easy
Oct 2020 - Nov 2020
Conducted end-to-end data pipeline development including data cleaning, feature engineering, and exploratory data analysis on donor datasets. Built and validated classification models to predict donor behaviour, achieving 0.78 AUC score through iterative feature selection and hyperparameter tuning. Designed interactive Power BI dashboards to communicate complex statistical findings to non-technical stakeholders, driving data-informed fundraising strategies.
Education
B.Tech in Instrumentation & Control Engineering - Bharati Vidyapeeth’s College of Engineering
2018 - 2022 · Afghanistan
