Ravi Yadav

Ravi Yadav

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Immediate Joiner | Driving Data Solutions with SQL, AI & ML | Postgresql Expert | Data & AI Engineer
National Capital Territory of Delhi, India

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Jobs verified_user 0% verified
  • A
    Associate Development Engineer
    AVIZVA
    Jul 2023 - Current (2 years 10 months)
    Currently working as a Database developer
  • A
    Machine Learning Intern
    AIW Artificially Intelligent Workforce
    Jan 2023 - Jul 2023 (7 months)
    Responsibilities: 1. Led and managed a team of 10-12 students and define project goals, timelines, and deliverables and ensure they are met within the given timeline 2. Collaborate with cross-functional teams to understand project requirements and translate them into actionable tasks for the team 3. Develop and implement machine learning models, NLP algorithms, OCR, and computer vision technologies to solve real-world problems related to medical claim settlement 4. Continuously evaluate and improve the team's processes, methodologies, and tools to ensure high-quality deliverables 5. Mentor and coach team members to help them grow professionally and achieve their career goals 6. Stay up-to-date with the latest research and industry trends r
  • Xebia
    Machine Learning Intern
    Xebia
    Jul 2022
    Key responsibilities include: 1. Doing the preprocessing of data and visualisation 2. Applying Machine Learning Model for classification tasks 3. Studying and applying the Transfer learning model like BERT, Roberta, etc.
  • Internshala
    Internshala Student Partner
    Internshala
    Sep 2021 - Nov 2021 (3 months)
    1. Promote Internshala courses to university students 2. Organizing campaigns to aware students of courses and internship programs.
  • B
    Python and Machine Learning Intern
    Brillect Tech Solutions Pvt Ltd
    Jun 2021 - Sep 2021 (4 months)
    1. Perform exploratory data analysis on different datasets. 2. Build a stock price prediction model using LSTM. 3. Analysing time series datasets for different stocks.
  • The Sparks Foundation
    Data Science and buisness anylatics Intern
    The Sparks Foundation
    May 2021 - Jun 2021 (2 months)
  • The Sparks Foundation
    Data Science and Business analytics intern
    The Sparks Foundation
    May 2021 - Jul 2021 (3 months)
Education verified_user 0% verified
  • M
    Bachelor of Technology - BTech, Computer Science
    Manav Rachna University
    Jan 2019 - Jan 2023 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • D
    Datawarehouse From Scratch
    Apr 2025
    📦 SQL-Based Data Warehouse Project (Bronze, Silver, Gold Layers) Duration: 4 Days Technologies Used: T-SQL, SQL Server, Draw.io, GitHub Description: Designed and implemented a full-scale data warehouse project following industry best practices, based on a guided course by Baraa Khatib Salkini. The project was structured into three layers (Bronze, Silver, and Gold) to mirror real-world ETL and analytical data flows. 🔹 Bronze Layer: Full data load from raw sources Applied initial transformations for structural consistency 🔹 Silver Layer: Performed extensive data cleaning, enrichment, and standardization Techniques used: handling nulls/duplicates, detecting outliers, normalizing attributes Applied business rules and ensured referent
  • �
    🧠 HR Policy Chatbot | Open-Source LLM + Chroma + Streamlit
    Mar 2025
    A simple, cost-effective, and practical chatbot tool designed to help employees navigate company policies with ease! This project combines the power of open-source LLMs (via Ollama), Chroma vector database, and a user-friendly Streamlit UI. Instead of endlessly searching policy documents or bothering HR with repetitive questions, employees can now get instant answers—with clarity and accuracy. If the chatbot can't find an answer, it kindly guides you to contact the HR team for clarification. No more confusion, and no more guesswork! 🚀 Project Highlights ✅ Open-source: Leveraging Ollama's LLM for local inferencing, cutting costs and ensuring data privacy. ✅ Efficient retrieval: Chroma vector database enables lightning-fast semantic search
  • F
    Fake News Classifier Using Deep learning
    Jan 2021 - Aug 2021 (8 months)
    1. I perform data cleaning and visualization. 2. Build a Machine learning model for fake news classification using streamlit as a frontend. 3. All the details are available on my github repo.
  • A
    AQI prediction using machine learning
    May 2020 - Dec 2020 (8 months)
    Project description The Project aims: 1. The aim of this project is to build a scalable machine learning model for AQI prediction using Machine Learning techniques. it provides a GUI where the user can add different data fields and get the prediction. 2. So the frontend of the project is made with HTML and flask and for the backend, I have used a machine learning model for doing the prediction. after that, I have deployed it on Heroku. 3. the data set is taken from a govt website and all the code and files are uploaded on my Github repo the link is provided below.
Publications verified_user 0% verified
  • A
    Forecasting Cryptocurrency Prices using Sequential and Time Series Models
    Association for Computing Machinery New York NY United States
    Jan 2023