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.
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
|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
Issued By
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
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.