About
Data Science Intern with hands-on experience in Data Analysis, Exploratory Data Analysis (EDA), and Machine Learning and Deep Learning models. Skilled in Python, Pandas, NumPy, Matplotlib, Scikit-learn, Keras, Tensorflow and data visualization tools.
Skills & Expertise (43)
Work Experience
Data Science Intern
Hisan Labs Pvt Ltd
Jun 2025 - Present
Managed end-to-end data preparation activities including data cleaning, transformation, and exploratory data analysis across both structured and unstructured datasets to identify patterns and anomalies. Conducted in-depth analysis on large-scale business datasets using Python, Pandas, NumPy, and SQL to generate data-driven insights supporting strategic decisions. Designed, trained, and validated machine learning models covering regression, classification, and clustering use cases, ensuring robust model performance. Applied advanced feature engineering techniques and hyperparameter tuning methods to enhance model accuracy and generalization. Utilized Scikit-learn extensively for model development, evaluation, and performance benchmarking. Developed clear and impactful data visualizations using Matplotlib, Seaborn to effectively communicate analytical findings. Worked on natural language processing tasks such as text normalization, sentiment analysis, and feature extraction from textual data. Contributed to deep learning and computer vision initiatives, including object detection projects using CNN architectures and YOLO frameworks. Built proof-of-concept (POC) solutions aligned with real-world business requirements and analytical problem statements. Prepared detailed technical documentation and summary reports to present model results and insights to both technical teams and business stakeholders. Collaborated closely with team members in an agile development environment, leveraging Git and GitHub for version control and project coordination. Explored emerging technologies including large language models (LLMs), LangChain, Agentic AI concepts, and introductory model deployment workflows. Worked on breast cancer classification using the Breast Cancer dataset. Performed data preprocessing and implemented models including SVM, Logistic Regression, Decision Tree, and ANN. Evaluated models using Accuracy, Precision, Recall, F1-score, and ROC–AUC score. Compared ROC–AUC curves to identify the best-performing model. Designed and developed a data analysis dashboard in Excel using formulas, pivot tables, and charts. Created a separate interactive dashboard in Power BI with KPIs, visualizations, and filters to derive insights.
Education
Bachelor of Engineering (B.E) in Computer Science - Padmashree Dr. D. Y. Patil Institute of Engineering Management and Research (SPPU)
- 2022 · Afghanistan
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