• As a passionate 5+ Years of experience as an AI developer with a strong command over machine learning, data analytics tools, deep learning, Django, Flask, SQL, data extraction, and web automation, I have successfully provided more than a million units of required data to customers by implementing efficient data extraction methods.
• I have gained valuable experience through various roles. I have worked as a data analyst on contracts with an Indian MNC, where I made significant contributions.
• Additionally, I played a key role in a ship maintenance-based startup by providing a corrosion segmentation solution.
• Moreover, I have worked on RAG techniques and implemented personalised chatbot features using LLMs like ChatGPT using LangChain technology.

Technical Languages: Python

Technical skills: Machine Learning, Data scraping and analysis

Cloud skills: S3, CloudWatch, Lambda, DynamoDB, ACR, ABS

Tools: Pandas, Numpy, matplotlib, Selenium, BS, Scikit-learn, Scrapy

Frameworks: RASA, Django, Flask, FastAPI

Databases: SQLite, MySQL, Postgres

Operating Systems: MAC and Windows

IDE’s: Visual Studio Code, Jupyter, G-Colab

Source Control: GitHub

Project Management Tools: Trello, ClickUp, Jira

Communication Tools: Skype, Microsoft Teams

• Proficient in Machine Learning algorithms and Data Analysis tools.
• Experience of working with LLMs like GPT and RAG techniques.
• Worked with Data Warehouse and data pipelines for data quality.
• Experience with Data Manipulation and Analysis.
• Strong Business sense and Data Understanding skills.
• Good at critical thinking and problem-solving.
• Gained significant experience with Frameworks like Django and Flask and FastAPI.

• Industry understanding [Domain]
• Data Understanding
• Critical Thinking
• Problem-Solving Skills
• Quick in making vital decisions
• Strategic Planning
• Communication Skills
• Ability to manage, guide & lead
• Visioning & Striver

Urban Company Data Scraping

Client: UK Based Home Service based startup

Programming Language: Python

Technologies: BeautifulSoup4

Descriptions:

• Scraped and extracted valuable insights from the Urban Company website using Python and BeautifulSoup4.
• Enabled a UK-based home service startup to analyze market trends and enhance their service strategy.

Property RightMove Website

Client: UK Based Property Selling and Renting Application

Programming Language: Python

Web Framework: Selenium

Descriptions:

• Automated data extraction from the RightMove website using Python and Selenium.
• Provided a UK-based property application with critical market insights to enhance property listings and rental strategies.

Action-Based Chatbot for Travel Agency

Programming Language: Python

Chatbot Framework: Rasa

Technologies: RAG, VectorDB

Descriptions:

• Integrated chatbot solutions with multiple platforms such as Booking.com and Skyscanner for hotel and flight bookings.
• Worked with large language models (LLMs) like GPT for implementing LangChain.
• Utilized Retrieval-Augmented Generation (RAG) techniques to create a personalized chatbot using client data.

Corrosion segmentation feature for a Ship maintenance company

Programming Language: Python

Web Framework: Flask

Technologies: Deep Learning, OpenCV, Image cleansing algorithms

Descriptions:

• This project is a groundbreaking initiative in the realm of ship maintenance, employing advanced segmentation techniques to empower ship owners and industry professionals with precise insights into the condition of critical steel components.
• By offering accurate data-driven recommendations, it optimizes maintenance schedules, enhances safety, and reduces costs, ultimately contributing to the longevity and environmental sustainability of maritime assets.
• This user-friendly project revolutionizes the way ship maintenance is conducted, ensuring the structural integrity of vessels and fostering a safer, more efficient, and eco-conscious maritime industry.

Personalized Chatbot for Blockchain-based Web Application

Client: Dyorbox [Blockchain-based Web Application ]

Programming Language: Python

Technologies: RAG, VectorDB

Descriptions:

• Developed a chatbot that answers questions about various products listed on the platform, using product descriptions and tags for accurate responses.

User Bio Similarity Algorithm for Dating App

Client: Velodate [ Dating Application ]

Programming Language: Python

Technologies: RAG, VectorDB

Descriptions:

• The application displays a similarity percentage based on user bios, allowing for the prioritization of one user over another.