FinTech Club Event Organization
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Summary
Organized multiple events for the FinTech Club, fostering community engagement and knowledge sharing.
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.
|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
Issued By
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
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.