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Data Science with less than a year in Data Analysis, Machine Learning, and Visualization.
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Assessing your cultural and operational fit
Highly motivated Data Analyst and Engineer with a robust foundation in data science, machine learning, and software engineering. Currently pursuing a master's in data science, I have a proven track record of delivering data-driven solutions through the design, development, and deployment of analytical models and dashboards. My expertise lies in leveraging programming, data manipulation, and visualization tools to uncover insights that drive business decisions. With hands-on experience in data analysis, engineering, and visualization, I thrive in collaborative environments and excel at tackling complex challenges by applying critical thinking and innovative solutions.
FAST National University of Computer and Emerging Sciences, Islamabad
Master's in Data Science · Data Science
August 1, 2023 – Present
COMSATS University Islamabad, Wah Campus
Bachelor's in Software Engineering · Software Engineering
August 1, 2019 – June 30, 2023
TSS
Jr. Data Analyst
April 1, 2025 – Present
India
Telenor Shared Services
Data Trainee Officer
October 1, 2024 – Present
India
FAST National University of Computer and Emerging Sciences, Islamabad
Lab Instructor (AI)
January 1, 2024 – June 1, 2024
India
Web Scraping & Automation
June 1, 2026 – Present
Developed Python scripts to automate the extraction and parsing of web data for financial analysis. Streamlined data collection for market research, reducing manual efforts by 80%.
Sales Data Analysis
June 1, 2026 – Present
Conducted detailed analysis of retail sales data to identify trends, customer preferences, and seasonal demands. Created interactive visualizations to highlight key performance indicators, boosting sales strategy efficiency.
Customer Feedback Sentiment Analysis
June 1, 2026 – Present
Analyzed large-scale customer feedback datasets to determine sentiment trends. Designed a model for categorizing feedback into positive, neutral, and negative, enabling targeted improvements in customer service.
Employee Performance Dashboard
June 1, 2026 – Present
Designed an interactive dashboard to track KPIs, attendance, and overall employee performance across multiple departments. Automated data refresh workflows, allowing real-time insights into productivity metrics.
L&D Development Metrics Dashboard
June 1, 2026 – Present
Integrated training and employee performance data from multiple sources to develop a real-time dashboard for HR. Enabled management to track training ROI, resource allocation, and skill development trends effectively.
Supplier Status Monitoring System
June 1, 2026 – Present
Created a dashboard to monitor supplier activity by aligning data between Coupa and NERP systems. Automated data validation processes, identifying discrepancies and improving supplier relationship management.
Healthcare Data Analysis
June 1, 2026 – Present
Analyzed hospital patient data to identify trends in admission rates, disease patterns, and resource utilization. Suggested actionable insights to improve hospital efficiency and patient outcomes.
Predictive Modeling for Student Performance
June 1, 2026 – Present
Built a machine learning model to predict student grades based on attendance, study hours, and previous performance. Achieved 85% accuracy, enabling educators to identify at-risk students proactively.
Recon Discrepancy Dashboard
June 1, 2026 – Present
Developed a reconciliation dashboard by integrating data from NERP and Coupa systems. Identified financial discrepancies through automated data validation and real-time reporting.
What is Data Science?
IBM (Coursera)
June 1, 2026 – Present
Preparing Data for Analysis with Microsoft Excel
Microsoft (Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in data science, machine learning, and AI, aligning well with a data-driven culture. Their involvement in multiple personal projects across different domains (finance, retail, healthcare, education) shows versatility and a proactive learning attitude. The experience as a Lab Instructor suggests a collaborative and knowledge-sharing mindset. The pursuit of a Master's degree while working indicates dedication and ambition. The breadth of tools and technologies used (Python, Power BI, SQL, various ML libraries) suggests adaptability and a willingness to explore different solutions.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, team collaboration, problem-solving, and presentation skills. Their experience as a Lab Instructor suggests an ability to communicate complex technical concepts effectively. The diverse range of personal projects indicates a proactive and self-driven approach to learning and applying data science principles. The current roles as Jr. Data Analyst and Data Trainee Officer, while entry-level, show exposure to corporate data environments and collaboration with cross-functional teams, which aligns with operational fit.