About
Data Analyst (Fresher) with a Bachelor’s degree in Computer Science (B.Tech, 2026) and hands-on experience in SQL, Python, Power BI, Tableau, and Excel – specializing in data cleaning, exploratory data analysis, dashboard development, and translating data into actionable business insights. Proven ability to collect, clean, and analyze structured and unstructured datasets; build BI reports and visualizations; identify trends, patterns, and performance metrics; and support data-driven decision making across technical and business teams. Strong technical skills combined with excellent communication and presentation abilities; self-learning mindset with a curiosity toward data and the analytics domain.
Skills & Expertise (34)
Work Experience
Data Science & Data Analytics Intern
Aenexz Tech Private Limited
Jan 2026 - Apr 2026
Delivered 3 analysis-ready datasets (zero null/type errors) by collecting, cleaning, and preprocessing structured CSV and Excel data using Python (Pandas, NumPy) — missing value handling, encoding, and standardization. Identified optimal predictive model (Random Forest: 88% accuracy, F1 0.86) by comparing 5 ML algorithms (LR, KNN, DT, RF, SVM) on 891-record Titanic dataset using precision, recall, and confusion matrices via scikit-learn. Reduced reporting cycle time by documenting end-to-end reproducible workflows on GitHub — data profiling, feature engineering (80/20 split), model training, and weekly/monthly insight reporting.
Education
B.Tech, Computer Science (IoT) - Presidency University
- 2026 · Afghanistan
Certifications
Forward Program
McKinsey.org · 2026
Tata GenAI Analytics
Forage · 2026
Deloitte Data Analytics
Forage · 2026
ML & Data Science
Udemy · 2024
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Citizen
Relocation
Open to Relocation
Skills (34)
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