About
I'm a Computer Science (Data Science) graduate from RNS Institute of Technology, passionate about turning raw data into decisions that matter. During my internship at 1stop.ai (Movidu Technology), I built machine learning systems for real-world text classification — including a hate speech detection model (89.6% accuracy) and an SMS spam classifier (99%+ accuracy) using NLP techniques like TF-IDF, tokenization, and stemming, paired with Logistic Regression, Naive Bayes, and SVM. Beyond model-building, I enjoy digging into data to find the story it's telling — whether that's uncovering spending patterns through EDA on credit card datasets, or using K-Means clustering to optimize Uber fleet distribution. I'm equally comfortable presenting those insights through Power BI and Tableau dashboards as I am writing the Python behind them. I've also explored deep learning and deployment, building a CNN-based OCR system for handwritten digit recognition and shipping it as a live Flask app. Tools I work with: Python, Scikit-learn, TensorFlow/Keras, Pandas, NumPy, SQL, Power BI, Tableau, MongoDB. I'm looking to bring this mix of ML, NLP, and data storytelling to a team solving real problems with data. Let's connect!
Skills & Expertise (34)
Work Experience
Data Science Intern
1stop.ai at Movidu Technology Pvt. Ltd.
Jan 2026 - May 2026
Built a hate speech detection system using NLP and ML to classify text as hate speech, offensive, or neutral. Applied TF-IDF vectorization and trained Logistic Regression, Naive Bayes, and SVM models for classification. Achieved 89.6% accuracy and 0.88 F1-score, evaluated using Precision, Recall, and Confusion Matrix.
Education
Bachelor of Engineering Computer Science (Data Science) - RNS Institute of Technology
2023 - 2026 · Afghanistan
Certifications
Goodspace AI
Personality value assessment · 2026
Data analyst six Sigma certificate
Coursera · 2025
Infosys certificate
Infosys spring board · 2024
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Skills (34)
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