Lova Kumar Poluparti

Project: Automatic Job Search using Agenti AI
Problem: Job seekers struggle to find relevant jobs, match their resumes to job requirements, and prepare for interviews effectively. This project uses Agenti AI to automate job search through manual and resume-based modes, AI-driven resume analysis, and personalized interview prep. It boosts employability by highlighting skill-job matches, strengths, areas for improvement, and providing targeted resources.

Description:

• Developed an AI-powered job search platform using Agenti AI, offering two modes of job discovery – customized filtering and intelligent resume-based search.
• Implemented a resume parser and matching engine that calculates skill-job match percentage and highlights relevant job opportunities.
• Built intelligent modules for resume analysis, extracting user summary, key skills, experience, strengths, and improvement areas using NLP.
• Integrated an AI-driven interview preparation system for specific companies, generating questions for technical, HR, and managerial rounds.
• Added features for job saving, job tracking, and personalized preparation support to streamline the job hunting experience.

Skills: Python, langchain , openai , crewai , spacy , pandas ,beautifulsoup4 , faiss DB

Roles and responsibilities:
• Willing to conduct both offline and online training sessions for college students.
• Explaining concepts related to data analytics and AI.
• Facilitating hands-on practical sessions using IBM Cloud.
• I have Involved in creating high-quality educational resources, including interactive presentations and practical exercises, to enhance student understanding of data analytics and AI.
• Skilled in coordinating cross-team collaboration to create and implement complete end-to-end data science projects.
Skills include: Python, Mysql, tableau, Machine learning, deep learning , Generative AI

• CORL company have huge data in pdf format. They want a generative AI model to check the different stands of products really meet their actual standard as mention in pdf documents.
• Worked in CORL company project pdf documents. Build model llama-2 model for make querying on pdf to verify the different standards of product documents.
• Working backend code in Extracting Text and tables as text and verify with different models in crating embedding ,store embeddings, create querying and pick the best model for development.
• I have built a model for generating json out put for system generated Invoices.
• I have learned skills like understanding and hands-on experience in Transformers, llm models and exploring the Hugging face models used in generative AI.

• Roles and responsibilities:
  
  • Manage and process student data to grant access to the Learning Management System (LMS).
  • Provide students with accurate information regarding class schedules and course details.
  • Identify the gaps in learning when working with students.
  • Design and develop engaging study material and content.
  • Perform backend updates and modifications related to website changes.
  • Ensure data integrity and accuracy in student records and system databases.
  
  Skills include: Python, Mysql, tableau, Machine learning, deep learning

• Flyzy wants to know the how different factors that influence the ticket price so as to provide customers with a better ticket booking experience
• Prepare the data and clean by Null, Duplicate Techniques, and Outliers Treatment
• Analyzed the data using Univariate, Bi-variate, and Multivariate Plots to find the Effect of variables on price and perform feature engineering techniques
• Applying Hypothesis testing on flight classes and price, got 8.1 p-value against null hypothesis.