INSHA SADAF

Aspiring Data Analyst

New Delhi, IN.

About

Highly analytical and results-driven Data Analyst with expertise in Python, SQL, Excel, and Power BI. Proven ability to transform complex datasets into actionable insights through advanced data visualization, ETL processes, and predictive modeling using Scikit-learn and TensorFlow. Experienced in developing interactive dashboards and leveraging machine learning techniques, with a strong foundation in Natural Language Processing (NLP) and Tableau, to drive data-driven decision-making.

Work

Research and Development Team

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Computer Vision Intern

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Summary

Contributed to research and development initiatives focused on computer vision applications, leveraging deep learning frameworks.

Highlights

Utilized cutting-edge deep learning frameworks, including TensorFlow and PyTorch, to design and refine models for intricate tasks such as object detection and image classification.

Applied robust problem-solving abilities to foster innovation in the dynamic landscape of drone manufacturing, aerial imaging, autonomous navigation, and inspection applications.

Education

Techno Main Salt Lake Affiliation by Maulana Abul Kalam Azad University of Technology

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Master Computer Application Grade: CGPA: 8.32

Jamia Millia Islamia

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Bachelor Science Grade: SPI: 9.29

B.L Indo Anglian Public School

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Senior Secondary General Studies Grade: Grade: 79.6%

Kendriya Vidyalaya

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Secondary General Studies Grade: Grade: 85.4%

Certificates

Google AI-ML

Google

Skills

Programming

Python, SQL, JavaScript.

Data Science & Machine Learning

Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, Statistics.

Data Processing & Analytics

SQL, Excel, Matplotlib, Seaborn, Tableau, Power BI.

Natural Language Processing (NLP)

NLTK, SpaCy, TF-IDF, Word2Vec.

Databases

MySQL, PostgreSQL.

Version Control & Deployment

Git, Hugging Face Spaces, Streamlit.

Projects

Power BI End-to-End Churn Analysis Project

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Summary

Designed and implemented a comprehensive customer churn analysis solution using Power BI, SQL, Excel, and machine learning models.

Spam Classifier App

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Summary

Developed a real-time spam detection system and an interactive Streamlit web application using machine learning and NLP.

Movie Recommender System

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Summary

Developed a content-based movie recommender system and an interactive web application using Python, NLP, and various data science libraries.