Om Pathak

Aspiring AI/ML Engineer & Data Scientist
Bengaluru, IN.

About

Highly motivated and results-driven Artificial Intelligence and Machine Learning student with a strong foundation in data science, deep learning, and full-stack development. Proven ability to design and implement robust ML models, analyze complex datasets, and build scalable applications, as demonstrated through multiple impactful projects and an internship. Eager to leverage strong analytical and technical skills to contribute to innovative AI/ML and data science initiatives.

Work

S.L.N Engineers
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Data Science (Analyst) Intern

Bengaluru, Karnataka, India

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Summary

Contributed as a Data Science Analyst Intern, focusing on data management, database optimization, and real-time insights for IT records.

Highlights

Streamlined data integrity for IT records by cleaning and structuring data using Python and SQL, eliminating duplicates and standardizing formats for relational databases.

Optimized relational databases, enhancing query performance through strategic indexing, joins, and normalization techniques.

Automated data integration processes to enable real-time insights and ensure seamless website synchronization.

Education

BNM Institute of Technology
Bengaluru, Karnataka, India

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Bachelor of Engineering

Artificial Intelligence and Machine Learning

Grade: CGPA: 8.56

Courses

Natural Language Processing (NLP)

Big Data

Machine Learning

Data Structures and Algorithms

Operating System

Artificial Intelligence (AI)

Cloud Computing

Database and Management System

Computer Networks

Awards

Top Candidate, IBM Hackathon

Awarded By

IBM

Selected as a top candidate out of over 750 participants for exemplary performance in the IBM Hackathon.

Pre-Finalist, IIT Kharagpur Data Science Hackathon

Awarded By

IIT Kharagpur

Achieved pre-finalist status in a highly competitive data science hackathon hosted by IIT Kharagpur.

Certificates

AI and Cognitive Science

Issued By

Udemy

Azure AI for Developers: Building AI Agents

Issued By

LinkedIn Learning

Introduction to Data Science and Exploratory Data Analysis

Issued By

Infosys Spring Board

Skills

Programming Languages

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

Cloud & Databases

MySQL, Azure OpenAI Service, AWS (basic), GitHub, PHPmyAdmin, MongoDB, Cloudinary, Firebase.

Libraries & Frameworks

Pandas, NumPy, PyTorch, Keras, Seaborn, Scikit-learn, OpenCV, TensorFlow, NLP, Streamlit, React, Node.js, Express.js.

Developer Tools

Cursor AI, Visual Studio, Jupyter, VS Code, NetBeans.

Data Visualization

Power-BI, Matplotlib.

Concepts & Technologies

DevOps, LLM, AI Agents, APIs, GANs, CNNs, GPT-4.

Interests

Clubs & Activities

Q-quotient (quizzing club), BNMIT MUN.

Projects

Diabetic Retinopathy Prediction Model (GAN + CNN + GPT-4)

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Summary

Created an AI model for early detection of diabetic retinopathy using advanced deep learning techniques and integrated large language models.

Expense Tracker System

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Summary

Engineered a cloud-based expense tracker web application with real-time data synchronization.

Breathalyzer - Using Respiratory Metrics

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Summary

Developed an ML model for respiratory metrics using advanced algorithms to classify large datasets and enhance data processing efficiency.

Movie Recommendation System

Academic

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Summary

Developed a movie recommendation system to provide personalized movie suggestions based on user preferences and movie features.