Churn Prediction System
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Summary
Designed and implemented a machine learning solution to predict customer churn in the telecom sector, enhancing retention strategies.
About
Highly motivated Bachelor of Technology student specializing in Computer Science and Engineering with a strong foundation in Data Science, Machine Learning, and AI. Proven ability to develop scalable data-driven solutions, integrate advanced AI pipelines, and analyze complex datasets to inform strategic decisions, as demonstrated by achieving 85% model accuracy in disease prediction and leading fintech API development. Eager to leverage expertise in Python, Django, SQL, and AI platforms to contribute to innovative data science and machine learning initiatives.
Work
Factiify
|Data Science Intern
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Summary
Developed scalable data-driven solutions and integrated advanced AI pipelines to enhance a fintech product's functionality and data processing.
Highlights
Engineered scalable RESTful APIs utilizing Django REST Framework and PostgreSQL, significantly enhancing a fintech product's data exchange capabilities.
Developed AI-powered document automation solutions, converting complex Excel/Word files into structured PDFs to streamline data processing workflows.
Integrated advanced RAG pipelines with Claude Sonnet (Amazon Bedrock) and Pinecone, enabling context-aware AI generation for enhanced information retrieval.
Designed and implemented custom meeting summary logic, prompts, and client-specific dashboard features, including favicon retrieval, to improve user experience and data accessibility.
Managed asynchronous tasks with RabbitMQ and contributed to comprehensive API testing, optimizing AI logic for financial discussion applications.
Accenture North America
|Data Analyst (Job Simulation)
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Summary
Completed a data analytics and visualization job simulation, providing data-driven insights and recommendations to a social media client.
Highlights
Executed a comprehensive data analysis simulation, advising a hypothetical social media client on strategic data-driven recommendations.
Cleaned, modeled, and analyzed 7 diverse datasets to uncover critical insights into content trends, directly informing strategic client decisions.
Developed and delivered a compelling PowerPoint deck and video presentation, effectively communicating key insights to both client and internal stakeholders.
Education
Lovely Professional University
Punjab, India, India
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Bachelor of Technology
Computer Science and Engineering
Grade: CGPA: 8.58
M.S.S Public School
Kishangarh, Ajmer, India
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Intermediate
General Studies
Grade: Percentage: 88.20%
M.S.S Public School
Kishangarh, Ajmer, India
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Matriculation
General Studies
Grade: Percentage: 85.60%
Awards
Second Rank in Data Analysis Competition
Awarded By
Data Analysis Competition Organizers
Awarded second place in a data analysis competition for exceptional model accuracy and analytical insights.
Math Genius Award (State Level)
Awarded By
State Level Competition Organizers
Achieved 28th Rank at the State Level Math Genius Competition, demonstrating advanced quantitative aptitude.
Certificates
Amazon Bedrock, Amazon Q & AWS Generative AI
Issued By
Udemy
Machine Learning & Data Science Program
Issued By
GeeksforGeeks
Skills
Programming Languages
C++, HTML, CSS, Python, JavaScript.
Frameworks & Libraries
Django REST Framework, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Streamlit.
Databases
MySQL, PostgreSQL.
Cloud & AI Platforms
Amazon Bedrock, Claude Sonnet, Pinecone, AWS Generative AI.
Tools & Methodologies
GitHub, Postman, PyCharm, VSCode, Jupyter Notebook, RabbitMQ, Git, Data Analysis, Machine Learning, Deep Learning, API Development, Feature Engineering, Model Evaluation, Data Visualization, Statistical Modeling, Predictive Analytics.
Professional Competencies
Problem Solving, Project Management, Team Collaboration, Adaptability, Strategic Thinking, Communication, Data Storytelling, Business Intelligence, Technical Documentation.
Projects
Disease Prediction System
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Summary
Developed an AI-powered system to predict conditions like diabetes, heart disease, and Parkinson's, enabling proactive health analysis.