Mahrishi Rathore

Data Scientist | Machine Learning Engineer

Punjab, IN.

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

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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

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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

Data Analysis Competition Organizers

Awarded second place in a data analysis competition for exceptional model accuracy and analytical insights.

Math Genius Award (State Level)

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

Udemy

Machine Learning & Data Science Program

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

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.

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.