A CNN-BERT Multimodal Approach for Improving Web Service Classification
Summary
Developed and evaluated a CNN-BERT multimodal approach to significantly improve the accuracy and efficiency of web service classification.
About
A dynamic and results-oriented Data Scientist and AI/ML Engineer with a profound passion for data and artificial intelligence, adept at solving complex real-world problems through innovative research and engineering. Leveraging a strong foundation in Computer Science and an ongoing Master's in Financial Engineering, I combine rigorous academic knowledge with hands-on project experience in Deep Learning, Computer Vision, NLP, and LLMs to drive high-impact solutions.
Education
World Quant University
Remote
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Masters
Financial Engineering
KIIT University
Bhubaneswar, Odisha, India
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B.Tech.
Computer Science and Communications Engineering
Grade: 7.81/10 (First Class)
International Open University
Remote
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B.A.
Arabic Language and Linguistics
Grade: 3.11/4 (Second class upper)
Work
Aremson Global Limited
|Machine Learning/AI Engineer
Lagos, Nigeria
Summary
Conducted research and implemented state-of-the-art machine learning algorithms for supply chain optimization. Successfully reduced delivery delays by 15%, demonstrating a direct impact on operational efficiency. Collaborated with cross-functional teams to integrate machine learning models into complex projects.
The Sparks Foundation
|Data Science Intern
Remote
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Summary
Engaged in data science research and development, focusing on practical applications of machine learning algorithms.
Highlights
Executed data analysis tasks and built machine learning prototypes, demonstrating proficiency in Python and relevant libraries.
Participated in research-oriented projects, contributing to the development of data-driven solutions and insights.
Collaborated with team members to refine methodologies and present findings, fostering a strong learning environment.
Oasis Infobyte
|Data Science Intern
Remote
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Summary
Contributed to data science projects, applying machine learning techniques to extract insights and build predictive models.
Highlights
Developed and implemented machine learning models for specific data analysis tasks, enhancing predictive capabilities.
Assisted in data cleaning, preprocessing, and visualization, ensuring data quality and interpretability for project stakeholders.
Gained practical experience in data science workflows, from problem definition to model deployment, under mentorship.
Remote
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Summary
Supported client digital marketing initiatives by leveraging analytical tools and platforms to enhance campaign performance and achieve business objectives.
Highlights
Managed diverse digital marketing campaigns, utilizing data-driven insights to optimize content and targeting strategies for various clients.
Implemented SEO best practices and content strategies, contributing to improved online visibility and organic traffic for client websites.
Collaborated with clients to understand marketing goals, translating requirements into actionable digital strategies and reporting on key performance indicators.
Interests
Data Science
Machine Learning
Deep Learning
Computer Vision
Large Language Models (LLMs)
Finance
Skills
Programming Languages
Python, C/C++.
Data Science Libraries & Frameworks
Pandas, NumPy, SciPy, TensorFlow, PyTorch, OpenCV, Seaborn, Matplotlib.
Machine Learning
Linear Regression, Logistic Regression, Decision Trees, Random Forests, XGBoost, SVM, K-Means, KNN, Deep Learning, Neural Networks.
Computer Vision
YOLO, Mask R-CNN, Haar Cascades, KCF, CSRT, Image Processing, Object Detection, Segmentation, Tracking.
Natural Language Processing (NLP) & LLMs
Langchain, Langgraph, SmolAgent, CrewAI, LlamaIndex, n8n, Large Language Models (LLMs), Recommender Systems, Fine-tuning (DistilBERT, T5, Longformer), Text Classification, Summarization, Translation.
Deployment
Flask, Django.
BI & Analytics
Power BI, Tableau.
Tools
Git, Selenium, BeautifulSoup, Scrapy.
Technical & Research Writing
Blogs, Reports, Documentation.
AI Agents & Automation
Building AI Agents, Automating Workflows.
Certificates
Applied AI Lab
Issued By
WorldQuant University
Google Data Analytics
Issued By
Coursera (Google)
Google UI/UX Design
Issued By
Coursera (Google)
Google IT Support
Issued By
Coursera (Google)
Data Science with Python
Issued By
DataCamp
Applied Data Science Lab
Issued By
WorldQuant University
Data Engineering
Issued By
DataCamp
Computer Vision
Issued By
Udemy
Machine Learning Track
Issued By
DataCamp
TATA Virtual Internship Program
Issued By
TATA
Publications
A Comparative Study on Sentiment-Aware Multimodal Personalized Movie Recommender System
Published by
ICDAI-2024
Summary
Research exploring a novel sentiment-aware multimodal approach to enhance personalized movie recommendation systems, presented at ICDAI-2024.
Web Service Selection Using Hierarchical Graph Transformation
Summary
Explored hierarchical graph transformation techniques for optimizing web service selection processes.
Languages
English
Arabic
Projects
Real-time Face Detection System
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Summary
Developed a robust system for real-time face detection using advanced computer vision techniques.
CNN-based Face Recognition System
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Summary
Built a scalable CNN-based model for accurate real-time face identification from various media.
High-Precision Object Tracking System
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Summary
Implemented a system to track multiple objects with high precision in dynamic environments.
Real-Time Face Mask Detector
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Summary
Developed a real-time system for detecting face masks, showcasing expertise in computer vision and classification.
Social Distancing Monitoring Tool
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Summary
Designed a real-time monitoring tool for public health compliance using video streams.
YOLO-based Multi-Object Detection System
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Summary
Built a YOLO-based model for accurate multi-object detection in real-time scenarios.
Image Segmentation Pipeline with Mask R-CNN
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Summary
Created an image segmentation pipeline for both static and dynamic inputs using Mask R-CNN.
American Sign Language (ASL) Recognition Model
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Summary
Developed a deep learning model for recognizing American Sign Language gestures.
Predictive Model for Blood Donation Likelihood
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Summary
Built a binary classifier to predict the likelihood of future blood donations.
Agriculture Yield Prediction System
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Summary
Applied machine learning for optimizing crop yield and feature selection in smart farming.
Cosmetic Ingredient Similarity Analysis
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Summary
Utilized t-SNE and Bokeh to visualize the similarity between cosmetic products based on ingredients.
Context-Aware Book Recommender
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Summary
Developed a recommender system leveraging LLMs to provide context-aware book suggestions.
Customer Outreach Campaign Agent (CrewAI)
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Summary
Created an AI agent using CrewAI to automate and optimize customer outreach campaigns.
Email Sorting & Summarization Agents (LangGraph)
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Summary
Built AI agents with LangGraph for automated email sorting and summarization.
Vision Agent for Image Understanding
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Summary
Developed an AI agent capable of understanding and interpreting image content.
Agentic RAG for QA with LlamaIndex
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Summary
Implemented an agentic Retrieval-Augmented Generation (RAG) system for question-answering using LlamaIndex.
AI Blogging Assistant (CrewAI)
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Summary
Designed an AI assistant using CrewAI to generate blog content.
AI Email Agents (n8n)
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Summary
Built AI-powered email agents using n8n for automated email management.
Multi-Agent Frameworks (SmolAgent)
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Summary
Explored and implemented multi-agent frameworks, specifically SmolAgent, for complex task automation.
Large Language Model Fine-tuning
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Summary
Conducted fine-tuning on various Large Language Models (LLMs) such as DistilBERT, T5, and Longformer for specific applications.
LLM-based Text Processing Suite
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Summary
Developed applications leveraging LLMs for advanced text processing tasks including translation, summarization, and classification.