Hello, My name is Nitin Kumar
I' m working as a
With skills ..
Primary: Python, Generative AI, Google Cloud, AWS, SQL, ELK, Power BI, Machine Learning, Deep Learning, Natural Language Processing, Time Series Modelling.
Secondary: PySpark, Tableau, Large Language Models, Kubeflow.
Hire Me
About Me
• Data Scientist (GenAI) with 7+ years of expertise in intelligent data processing, handling and analysis.
• Worked on transformers models and applied NLP techniques, particularly LSTM for sentiment analysis, ticket classification and summarization.
• Japenese Translator : This project is a powerful translator application leveraging the Gemini 1.5 Pro model to handle various types of input files and media. It supports seamless translation between English and Japanese, maintaining formatting and content integrity.
• TexttoElasticQueryGeneration (GenAI): To leverage the capabilities of the GPT Model to facilitate the generation of Elasticsearch queries from natural language text inputs. Additionally, it provides functionality for creating charts based on the generated queries.
• Vehicle Insurance Assistant(Gemini Pro Multimodal): Vehicle Damage assessment and cost estimate for a Vehicle Insurance solution.
• GenAI Based Ticket resolver application: Application to the process of managing student inquiries by automating message categorisation and email responses, enhancing communication and efficiency without human interaction.
• Nutritionist’s Eye: Nutritionist's Eye is AI powered LLM based Application is helpful to get details of your food intake and It will help to find wheather food is healthier or not using Gemini Pro Multimodal.
• Worked on Kibana and Power BI to create interactive and visually compelling dashboards, reports, and data visualizations.
• Experience in NLP, End to End Deployment, interpreting data and generating useful reports/dashboards.
Birthday : 10-Sep-1998
Email : nktyagi423@gmail.com
Degree : B.Tech(CSE) , M.Tech(Artificial Intelligence)
Phone : +91-7830260919
City : Noida, UP
Generative AI
Data Visualization
Python
Natural Language Processing
Education
2014 - 2018
B.Tech
Computer Science & Engineering
2024 - 2026
M.Tech
Artificial Intelligence
Certifications
Aug-2024
Google Cloud Certified - Professional Machine Learning Engineer
Generative AI, Machine Learning, Deep Learning, GCP Services, Natural Language processing etc..
Jul-2023
AWS Certified Machine Learning Specialty
Machine Learning, Deep Learning, AWS Services, Natural Language processing etc..
2021
Microsoft Certified – Azure AI Fundamentals
Azure AI Services, Natural Language processing, ML/DL Deployment etc..
Experience
Sep 2021 – Dec 2024
Kyndryl -- Senior Data Scientist
GenAI Development:
• TexttoElasticQueryGeneration: To leverage the capabilities of the Gemini Pro large Language Model to facilitate the generation of Elasticsearch queries from natural language text inputs. Additionally, it provides functionality for creating charts based on the generated queries.
• GenAI Based Vehicle Insurance Assistant: Vehicle Damage assessment and cost estimate for a Vehicle Insurance solution.
• GenAI Based Ticket resolver application: Application to the process of managing student inquiries by automating message categorisation and email responses, enhancing communication and efficiency without human interaction.
• Nutritionist’s Eye: Nutritionist's Eye is AI powered LLM based Application is helpful to get details of your food intake and It will help to find wheather food is healthier or not.
• Synthetic Data Generator: App is designed to create synthetic data in various formats, including PDF, CSV, or simple text. This tool is invaluable for scenarios where real data may be sensitive, unavailable, or insufficient for testing, training models, or other purposes.
• Developed data analysis, data mining, and processing (ETL) workflows for storage and backup
management optimization and cost reduction.
• Conducted data analysis, data mining, and processing for healthcare analytics projects.
• Utilized ML techniques to forecast storage utilization, enabling effective planning and cost optimization.
• Created and Deployed ITCE (Intelligent Ticket Classification Engine) and applied NLP techniques
particularly LSTM and Worked on Service Health Project to calculate health of Entities(Servers, Stores,
DataCentres and more)for multiple applications
Mar 2019 - Aug 2021
IBM -- Data Scientist
• Created powerful and actionable insights by building interactive reports and dashboards using
Kibana and Power BI.
•Implemented anomaly detection methodologies based on size, time and utilization to identify and
track anomalous events, facilitating proactive planning.
• Worked on Storage Analytics project and utilized Elastic ML to identify anomalies in timeseries
data and make accurate predictions, worked with large datasets and implementing effective
anomaly detection.
Services
Data Visualization
I am proficient in utilizing reporting tools such as Kibana, Power BI, and Tableau. I have successfully generated reports and visualizations using these platforms in previous roles, showcasing my ability to extract meaningful insights from data.
Data Science
I possess comprehensive expertise in end-to-end machine learning model development and deployment using AWS Services, ML Flow, and Kubeflow. Proficient in AWS services, Elastic ML, and LSTM, I have successfully employed these technologies to predict and analyze data, ensuring efficient and impactful outcomes."
Natural Language Processing
I've conducted text classification projects using NLTK, spaCy, and Gensim Word2Vec in Natural Language Processing (NLP). Leveraging these tools, I've achieved accurate and insightful results in various NLP applications, showcasing a diverse skill set in text analysis.
Python
I successfully implemented a Service Health Project, demonstrating proficiency in system monitoring. Additionally, I've developed multiple Python scripts utilizing object-oriented programming (OOP) principles, showcasing versatility in scripting and contributing to efficient and scalable solutions.
Machine Learning
I've extensive experience working on diverse models, employing techniques such as linear and logistic regression, SVM, gradient boosting classifiers, and KNN. This broad model repertoire showcases my proficiency in implementing various machine learning approaches for impactful outcomes.
Deep Learning
I focused predominantly on recurrent neural networks (RNN) and specifically utilized long short-term memory (LSTM) architectures in deep learning projects. This expertise demonstrates my commitment to advanced techniques in neural network modeling.
Portfolio
GenAI Work :
Power BI / Kibana Dashboards:
