Gopinath's Portfolio

Gopinath

I'm

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About

I am a Data Scientist passionate about transforming data into actionable insights and solving real-world problems. With expertise in machine learning, NLP, predictive analytics, generative AI, and feature technology, I build innovative solutions to drive impactful outcomes. My mission is to harness data to empower decisions and create meaningful change across industries.

Data Scientist.

Email: gopinathaiml12@gmail.com
Phone: +91 9443743306
City: Chennai, India
Degree: Mechanical Engineer

Skills

Pyhton 85%

SQL 80%

Pandas/NumPy 80%

Statistics 75%

Visualization Tool (Matplotlib/Plotly/Seaborn) 70%

Machine Learning 90%

Deep Learning/NLP/CV 80%

Generative AI 65%

Git / Github 60%

IDE's (Jupyter Notebooks/VS Code/Google Colab) 70%

Career Info

Data Scientist passionate about leveraging data-driven solutions to solve real-world problems and empower meaningful change. Seeking challenging roles to drive innovation through machine learning, NLP, and generative AI.

Sumary

Gopinath

Junior Design Requirement Analyst with 1+ years of experience at Vectra Automation, seeking Data Scientist roles.

Chennai, India

Education

Master Data Science Program,

2023

GUVI (Indian Institute Of Technology–Madras)

Bachelor of Mechanical Engineering,

2016 - 2020

Nadar Saraswathi College of Engineering and Technology

Professional Experience

Jr Design Requirements Analyst at Vectra Automation, Inc.

2023 - Present

Cary, North Carolina, United States · Remote

Analyzed 3D designs and collected data such as material, dimensions, stock size, machining symbols, and machining dimensions to streamline automated drawing creation using machine learning.
Worked with CATIA, NX, SolidWorks, and Creo to support design analysis while utilizing Google Sheets and Google Slides for data management and presentations.
Demonstrated strong analytical skills and optimized workflows, improving overall design accuracy and efficiency.

PROJECTS

AI Healthcare Assistant.

Developed an AI-powered tool for healthcare professionals, integrating a chatbot, Retrieval-Augmented Generation (RAG), and medical diagnosers with high accuracy across domains like cardiology and pulmonology. Improved diagnostic efficiency and decision-making for over 10,000 case.

AI Finance Assistant.

Built an intelligent tool for financial sentiment analysis using FinBERT for domain-specific accuracy and Llama for nuanced insights. Provides real-time sentiment analysis of financial news and reports, empowering investors and analysts to make informed decisions.

Retrieval-Augmented Generation Application.

Built an AI-driven tool using Meta Llama 3.1 to enhance decision-making by retrieving relevant data and generating accurate, actionable insights. It streamlines workflows, improves accuracy, and aids professionals in making better, faster decisions.

Customer Conversion Prediction.

Developed a Random Forest Classifier model with 91 Percentage accuracy to predict customer insurance subscriptions, leveraging data preprocessing, EDA, and real-time deployment for improved marketing targeting.

YouTube Data Harvesting and Warehousing

Built a Streamlit application to collect and analyze YouTube channel data using Google API, achieving seamless integration with MongoDB for data storage and SQL for structured querying, enabling users to retrieve and visualize metrics from multiple channels efficiently.

PhonePe Pulse Data Visualization and Exploration

Developed an interactive geo-visualization dashboard using Streamlit and Plotly to analyze PhonePe Pulse data, integrating Python and MySQL for efficient storage, retrieval, and dynamic user insights with over 10+ customizable dropdown options.

BizCardX: Extracting Business Card Data with OCR

Developed a Streamlit-based application leveraging easyOCR to extract business card details, including company name, contact information, and address. Integrated SQL for database management, allowing users to read, update, and delete entries via an intuitive GUI, enhancing business card organization and accessibility.