Customer Churn Analysis
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Summary
Conducted comprehensive churn analysis for a telecom dataset, leveraging Python to identify key churn drivers and recommend proactive engagement strategies.
Highly analytical Data Analyst with a strong academic foundation in SQL, Python, Excel, Power BI, and Tableau. Proven ability to clean, analyze, and visualize complex datasets to generate actionable insights and drive data-driven decision-making. Seeking to leverage advanced analytics, machine learning, and data visualization skills in a fast-paced, impact-driven environment to solve complex business challenges.
Project Engineer
Maharashtra, India, India
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Summary
Led a cross-functional academic project, driving full-stack development of an AI-powered diagnostic system and mentoring a technical team to achieve high-accuracy results and secure industry sponsorship.
Highlights
Developed and deployed a hybrid ResNet-9 CNN model with channel and spatial attention, achieving 98% classification accuracy on 8,564 grape-leaf samples.
Engineered and containerized FastAPI microservices, deployed on the cloud, to enable WhatsApp-based real-time diagnostics with a sub-4-second response time.
Automated ETL workflows and image annotation processes, reducing data preparation and testing time by 60%.
Mentored a 4-member team, improving code-review pass rates from 78% to 93%, and successfully secured industry sponsorship for pilot deployment.
B.E.
Artificial Intelligence & Data Science
Grade: 7.75 / 10
Issued By
Microsoft Certified
Issued By
Microsoft Certified
Issued By
Microsoft Certified
Issued By
GitHub Certified
Issued By
Google Data Analytics
SQL, Python, PyTorch, FastAPI, Git, Docker.
Advanced MS Excel, Google Sheets, Power BI, Tableau.
Microsoft Azure, Google BigQuery.
Data Cleaning, Exploratory Data Analysis (EDA), Insight Generation, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Feature Engineering, ETL Workflows, Data Modeling, Business Intelligence.
Data Structures, Object-Oriented Programming, Statistics, Database Management System, Cloud Computing, Data Modeling & Visualization, Business Intelligence.
Jira.
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Summary
Conducted comprehensive churn analysis for a telecom dataset, leveraging Python to identify key churn drivers and recommend proactive engagement strategies.
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Summary
Developed an interactive sales performance dashboard using SQL and Power BI to provide regional insights and support targeted recovery campaigns.