About
Aspiring Data Scientist with hands-on experience in Data Analytics, Machine Learning, and Data Visualization through internships and practical projects. Proficient in Python, SQL, Pandas, NumPy, Power BI, Statistics, and Machine Learning. Skilled in analyzing datasets, identifying patterns, building meaningful visualizations, and transforming data into actionable insights. A continuous learner with a strong problem-solving mindset and a passion for applying data-driven approaches to real-world challenges. Seeking opportunities to contribute and grow in Data Science, Data Analytics, and Machine Learning roles.
Skills & Expertise (26)
Work Experience
Data Analyst
Honda
Present - Present
Developed an interactive Honda Bike Sales Dashboard in Excel to analyse customer demographics and evaluate factors influencing purchase decisions. Designed multi-variable dashboard controls utilizing Slicers, Pivot Tables, and Pivot Charts to present actionable customer segmentation insights for marketing strategy.
Data Analyst
Bank
Present - Present
Analysed bank loan data using SQL to evaluate loan performance, borrower behaviour, repayment patterns, and credit risk. Generated insights from loan amount, annual income, DTI, interest rate, and instalment data to support loan portfolio monitoring and risk assessment using JOINs, GROUP BY, CASE statements, aggregate functions, subqueries.
Data Analyst
HR Analytics
Present - Present
Developed an interactive Power BI HR Analytics dashboard to analyse employee attrition across departments, job role, age group, salary slab, tenure, gender, and job satisfaction. Cleaned and transformed employee records using Power Query and created DAX measures and built interactive KPI cards, charts, matrix tables, slicers, and page navigation to identify attrition patterns and provide data-driven insights for employee retention and workforce planning.
Machine Learning Engineer
Lung Cancer Prediction System
Present - Present
Built an end-to-end Machine Learning model using Scikit-Learn to assess lung cancer probability based on medical history, smoking habits, and early symptoms. Executed data preprocessing, feature engineering, statistical EDA, and visualization using pandas, NumPy, and Matplotlib to clean patient records, optimize feature selection, and high-risk clinical factors for early-stage healthcare risk diagnosis.
Education
B.Tech in Data Science - IES IPS Academy
2022 - 2026 · Afghanistan
12th (Science) - Govt. H.S. Excellence School No.1
2020 - 2021 · Afghanistan
10th - Govt. H.S. Excellence School No.1
2018 - 2019 · Afghanistan
Certifications
Infosys Springboard Internship 6.0
Infosys Springboard · 2026
Data Analytics Training
IOTA Academy · 2026
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Citizen
Relocation
Open to Relocation
Skills (26)
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