Divya Parihar

Python Developer | Machine Learning Engineer

Kothrikalan, IN.

About

Highly motivated B.Tech Computer Science student specializing in Machine Learning, AI, and Python Development, with a strong academic record and practical experience. Proven ability to develop and deploy robust data processing pipelines and intelligent recommendation systems, demonstrated through a Python Dev Internship and several impactful projects. Eager to leverage expertise in AI/ML, API design, and data optimization to drive innovative solutions in a dynamic tech environment.

Work

Tanish Analytics Pvt. Ltd.

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Python Dev Internship

Remote, Virtual, India

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Summary

Led the development of a data preprocessing and cleaning pipeline, enhancing data handling efficiency and user experience for Excel files.

Highlights

Engineered a data preprocessing and cleaning pipeline using FastAPI, significantly improving data handling efficiency by 40% for Excel files.

Automated the detection and correction of formatting errors, missing values, and duplicates across 5,000+ rows per file, ensuring high data quality.

Implemented seamless API-based data input and output solutions, reducing manual data cleaning time for users by 60%.

Developed comprehensive RESTful API documentation using Swagger UI, enhancing user understanding and facilitating efficient testing of data processing workflows.

Education

VIT Bhopal University

Bhopal, MP, India
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B.Tech Computer Science Grade: CGPA: 8.71

MCS Higher Secondary School

MP, India
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Class XII (M P Board) General Studies Grade: Percentage: 95.8%

St. Mary's English Medium School

MP, India
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Class X (CBSE) General Studies Grade: Percentage: 96.6%

Certificates

Web Development Certificate

MyCaptain

Skills

Programming Languages

C++, Java, Python, SQL, HTML, CSS.

Databases

MySQL.

Frameworks & Libraries

FastAPI, Uvicorn, Pydantic, Scikit-learn, Seaborn, NumPy, Matplotlib, Bootstrap, Streamlit, Pandas.

Development Tools & Platforms

PyCharm, Git, GitHub, VS Code, MATLAB/Simulink, Autocrat, Swagger UI.

Machine Learning & AI

Machine Learning, Deep Learning, Collaborative Filtering, Cosine Similarity, Recommendation Systems, Hyperparameter Tuning, AI/ML APIs (Google Gemini, OpenAI), SVD, NMF, Metaheuristic Algorithms (Gray Wolf Optimizer, Dandelion Algorithm, Crayfish Optimization), Natural Language Processing.

Data Engineering

Data Preprocessing, Data Cleaning, ETL Pipelines, RESTful API Design, Data Analysis.

Web Development

Frontend Development, Backend Development, API Development, Web Frameworks.

Projects

FinTech Club Event Organization

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Summary

Organized multiple events for the FinTech Club, fostering community engagement and knowledge sharing.

Personalized Medicine Recommender

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Summary

Engineered a personalized recommendation engine for over-the-counter medicines using user-item data from the Flipkart dataset.

Machine Learning-based Recommendation Models (Course Labs)

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Summary

Developed and deployed machine learning recommendation models using collaborative filtering and cosine similarity to enhance user engagement.

AI-powered Empathetic Code Reviewer

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Summary

Engineered an AI-powered code review tool utilizing Google Gemini and OpenAI APIs to provide constructive feedback and improve team morale.