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Kurapati Venkata Krishna Gopinadh

Vetted Talent

Kurapati Venkata Krishna Gopinadh

Vetted Talent

I am a trustworthy and hardworking person who take things in a positive way. I am not self centered person. I used to take account of others view points and their opinions as well as i respect their ideologies.

If I take any work serious then I will complete with in hours .I am a person who believes in myself and learns from the mistakes. I like to help and motivate others so that they can yield more in what they want to do. I am having good communication as well as listening skills. Simply my name denotes about me " Good and obedient person".

  • Role

    Data analyst

  • Years of Experience

    4 years

  • Professional Portfolio

    View here

Skillsets

  • Computer Vision - 2 Years
  • rag - 1 Years
  • Large Language Models (LLM) - 3 Years
  • LangChain/Llama - 3 Years
  • Power BI
  • Natural Language Processing
  • Matplotlib
  • NoSql - 01 Years
  • TensorFlow - 3 Years
  • Pytorch - 3 Years
  • Python - 04 Years
  • Deep Learning - 03 Years
  • NLP - 03 Years
  • Pyspark
  • Hadoop
  • SQL
  • Machine Learning - 03 Years
  • Java
  • MS SQL Server - 1 Years
  • PowerBI - 2 Years

Vetted For

10Skills
  • Roles & Skills
  • Results
  • Details
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    AI Chatbot Developer (Remote)AI Screening
  • 57%
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  • Skills assessed :CI/CD, AI chatbot, Natural Language Processing (NLP), AWS, Azure, Docker, Google Cloud Platform, Kubernetes, Machine Learning, TypeScript
  • Score: 51/90

Professional Summary

4Years
  • Aug, 2020 - Present4 yr 8 months

    Associate

    Cognizant Technology Solutions
  • Aug, 2020 - Present4 yr 8 months

    Software Developer

    Cognizant Technology Solutions India Private Ltd.

Applications & Tools Known

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    Python

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    Microsoft Power BI

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    Microsoft Azure SQL Database

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    SQL

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    Pyspark

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    Hadoop

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    Java

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    Matplotlib

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    PyTorch

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    Power BI

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    PeopleSoft

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    Jupyter Notebook

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    Pandas

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    NumPy

Work History

4Years

Associate

Cognizant Technology Solutions
Aug, 2020 - Present4 yr 8 months

    Led data collection and cleansing efforts, ensuring integrity and accuracy for analysis.

    Developed structured fact and dimension tables to organize data efficiently, facilitating streamlined analysis processes.

    Collaborated with team members to create customized views aligned with client requirements, enabling tailored insights.

    Utilized Power BI to transform raw data into visually engaging reports and dashboards, empowering stakeholders with actionable insights.

    Worked closely with a team of five members to coordinate data analysis efforts and ensure seamless project execution.

    Proactively engaged with clients to gather feedback and refine deliverables, ensuring alignment with evolving business needs.

    Applied analytical skills to address data challenges and optimize data processing workflows, enhancing overall project efficiency.

Software Developer

Cognizant Technology Solutions India Private Ltd.
Aug, 2020 - Present4 yr 8 months
    Involvement in various projects, including NLP based chatbots, skin cancer Prediction models, and payroll systems for different countries. Duties included production support, developments, analyzing and resolving production issues using SQL queries.

Achievements

  • Developed an NLP based chatbot for managing Expense module inquiries
  • Developed an LSTM based skin cancer Prediction Model for a Corporate Hospital
  • Implemented New Zealand and China Payroll systems
  • Created many PeopleSoft objects during code changes and major developments

Major Projects

3Projects

Image Captions using CNN+LSTM

    Developed a model that generates captions for images using deep learning models CNN and LSTM, including data preprocessing, transformation, and feature extraction.

House Price Prediction Using Machine Learning Models

    Developed a Jupyter Notebook in Python to predict house prices from a provided dataset. Conducted extensive data pre-processing, cleaning, and feature engineering using Pandas and NumPy libraries. Implemented data encoding techniques and built machine learning models for prediction. Successfully trained and deployed the model to predict house prices based on various features.

Financial Sentiment Analysis for the given dataset using Natural Language Processing

    Developed an NLP model to analyze sentiment (positive, negative, neutral) in financial datasets. Implemented pre-processing techniques including punctuation removal, stop word removal, and POS tagging. Utilized advanced NLP methods for model training and prediction, achieving precise sentiment analysis results. Demonstrated expertise in data-driven decision-making through accurate sentiment predictions in financial contexts.

Education

  • M.Tech, Data Science & Computer Science Engineering

    Birla Institute of Technology & Science (2023)

  • B.Tech, Electronics and Communication Engineering

    Lovely Professional University. (2020)

Certifications

  • ChatGPT Prompt Engineering For Developers Short Course in DeepLearning

  • Chatgpt prompt engineering for developers

  • Short course in deeplearning ai

  • Langchain for llm application development short course in deeplearning ai

  • Chatgpt prompt engineering for developers short course in deeplearning ai

  • Langchain for llm application development

Interests

  • Watching Movies
  • Travelling
  • Driving
  • Badminton
  • Chess
  • Games
  • Cricket
  • Cooking