Samarth

Candidates About

Samarth Agrawal
Software Engineer
Ghaziabad, UP

Mobile: +91 8445990733
Email: IamSamarth1410@Gmail.com
GitHub: Samarth1410
LinkedIn: Samarth1410

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Summary
Dedicated entry-level Data Scientist with 6 months of internship experience in Data Science and Machine Learning. Identified key metrics, analyzed data streams, and demonstrated customer-facing skills by effectively communicating client needs to senior developers. Proficient in Mathematics, Programming Languages, and Computer Engineering.

Education
2020-2024 Bachelor of Technology in Computer Science
Ajay Kumar Garg Engineering College, Ghaziabad
SGPA: 8.0

2018-2019 Senior Secondary (Class XII)
St. Queen Mary Public School, Agra
Percentage: 86%

2016-2017 High School (Class X)
St. George’s College
Percentage: 85%

Work Experience

**May 2023 – Jul 2023**
Research Intern, RCTS, IIIT Hyderabad, India

– Developed an OCR Parser from Large Datasets utilizing Deep Learning and Natural Language Processing (NLP) to transition paper-based attendance records into a digital format, enhancing data precision and management within the ‘Selca’ project. Achieved a 40% increase in data accuracy.

– Designed and implemented Calendar Features using React.js and material-ui, integrating user-friendly academic event scheduling components into the ‘Selca’ application. Streamlined student organization and planning, resulting in a 50% reduction in scheduling conflicts.

– Created a collaborative learning environment by instructing 1st-year students at IIIT Hyderabad in the fundamentals of Python and Machine Learning, reducing the learning curve by 40%.

**Sep 2022 – Dec 2022**
Machine Learning Intern, Artizence, Lucknow, India

– Implemented an innovative Resume Selection System leveraging Python, Machine Learning, and Recommender Systems to optimize the hiring process. Successfully matched job requirements with the most suitable applicants, enhancing efficiency and customer-facing interactions.

– Collaborated on a team to create a streamlined resume parser using Python and Data Analytics. Applied analytical and pragmatic methods, engaging in multi-tasking responsibilities, reducing resume review time by 30%. Implemented statistical modeling, achieving a 20% increase in candidate-applicant matching accuracy for a more effective hiring process.

**Sep 2021 – Oct 2021**
Training, Froyo Technologies, Noida, India

– Industrial Training in Machine Learning, Deep Learning, and Computer Vision from Python.

Skills
Programming: Python, C/C++, Data Structures and Algorithms
AI: Machine Learning, Deep Learning, Matplotlib, Seaborn, Tensorflow
Tools and OS: Power BI, MS Excel, Git, Jupyter Notebook, Google Colab, Azure

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**Projects**

**Netflix Recommender System**
– Developed a Netflix Recommender System to offer users movie recommendations based on similarity. The project involved Web Scraping, Data Preprocessing, Feature Engineering, and Sentiment Analysis to elevate recommendation accuracy. Utilized the Cosine Similarity in Recommendation Systems model to deliver precise movie recommendations, ensuring that users discover content similar to their preferences, with the project’s backend powered by Flask for seamless user interaction.

**Zomato-Restaurant Ratings**
– Restaurant rating system using Flask and Machine Learning, leveraging eight key attributes for rating predictions. Employed a comprehensive approach, including data analysis, feature engineering, and model comparisons, to enhance prediction accuracy.

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**Research Experience**

– Published “Kabaddi: Quantitative approach to Machine Learning model in Pro kabaddi” at ICCWC.

– Presented “Binary classification of Epilepsy using Classical Machine Learning Algorithms and Ensemble Learning Techniques” at the International conference on AKGEC 2023.

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Accomplishments

– Smart India Hackathon Finalist – 2023, Kolkata

– Runner-up in Fundamentals of Modern Machine Learning Course, IIIT Hyderabad

– Selected among Best 5 teams globally in United Nations Development Programme (UNDP) Hackathon