Jyoti Nigam

Data Scientist

Kanpur, Uttar Pradesh, India3 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Mentored over 500 students in data science.
  • Authored 12+ articles on GeeksforGeeks.
  • Recognized as one of Omdena’s Top Talents.
Stackforce AI infers this person is a Data Scientist specializing in Generative AI and Machine Learning.

Contact

Skills

Core Skills

Machine LearningData EngineeringFrontend Development

Other Skills

Python (Programming Language)Cascading Style Sheets (CSS)Data ScienceSoftware DevelopmentJavaScriptGitlabInformaticaSQLSinglestoreHTML5TypeScriptElastic Stack (ELK)Back-End Web DevelopmentShell ScriptingDocker

About

I am a Data Scientist with a passion for Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). My work focuses on solving real-world problems by applying machine learning techniques to projects involving RAG (Retrieval-Augmented Generation), AI agents, and Generative Models. Currently, as a Data Scientist at Aimerz.ai, I develop AI models and machine learning systems to address business challenges. I've also mentored over 500 students in data science and worked with various institutions like DY Patil, HCST, and Sharda University, with an average mentor rating of 4.8/5. Previously, I worked as a Data Engineer, where I focused on predictive analytics, IoT solutions, and enterprise data warehousing using tools like Docker, APIs, and Elasticsearch, SingleStore, Informatica. I also collaborated with Omdena on several AI-driven projects, contributing to market research, AI model development, and research papers, earning recognition as one of Omdena’s Top Talents. Key Achievements: * Qualified GATE CS 2025 and 2023. * Authored 12+ articles on GeeksforGeeks, including a first-prize-winning article on CodeChef. * Facilitated online workshops on Machine Learning and AI, helping learners gain practical skills. * Speaker at DevFest, sharing insights on AI and Machine Learning. * Awarded 2nd rank in B.Tech IT, receiving a silver medal. Skills & Technologies: Languages: Python, Flask Machine Learning & Generative AI: NLP, Deep Learning, ANN, RNN,Transformers, GPT models, BERT, RAG, AI agents Frameworks & Libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy Technologies: Docker, REST APIs, Elasticsearch, Streamlit Data Handling: SQL, Singlestore Development Tools: Git, Linux, VS Code I'm also part of the Google AI Developers Group and serve as Co-Lead of FOSS United Kanpur. I'm always learning and eager to connect with others in the AI, Machine Learning, and Data Science space. Reach out to discuss ideas or opportunities at jyotinigam2370@gmail.com

Experience

3 yrs 1 mo
Total Experience
1 yr 6 mos
Average Tenure
1 yr 7 mos
Current Experience

Upgrad school of technology

Data Scientist

Nov 2025Present · 6 mos · Remote

Aimerz

Data Scientist

Oct 2024Present · 1 yr 7 mos · Remote

4pointx iaot

Software Engineer

Apr 2023Oct 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India · Remote

  • 1. Improved code hygiene in the backend by implementing best practices for Python code that led to reduction of LOC by 30% .
  • 2. Resolved a critical issue in Kafka data pipeline by implementing synchronous error handling to ensure 100% data persistence during network downtimes, preventing data loss and
  • enhancing system reliability.
  • 3. Optimized data normalization by introducing parallel processing, reducing execution time by up to 60% for large datasets.
  • 4. Demonstrated expertise in production environments by efficiently identifying and resolving data mismatch bugs within specified timelines by understanding and aligning business logic, ensuring uninterrupted system operations.
  • 5. Implemented a robust alerting mechanism by minimizing false positives. Additionally, integrated email notifications for timely user awareness of critical events.
  • 6. Transformed frontend module from JavaScript to React, enhancing code structure, scalability, and maintainability while improving user experience through modern UI components and optimized performance.
  • 7. Developed developer documentation in RST format, ensuring clear and accessible resources for fellow developers.
  • Tech Stack: Python, Flask, NLP, Elasticsearch, ReactJS, Docker, Linux, SingleStore, Shell Scripting
Python (Programming Language)Cascading Style Sheets (CSS)Machine learningData ScienceMachine LearningData Engineering+13

Amazon

Amazon Ml Summer School

Jul 2022Aug 2022 · 1 mo

  • Attended Amazon ML Summer School 2022. Covered fundamental ML concepts while linking them to practical industry applications through an immersive experience. Got the opportunity to learn from and interact with Scientists at Amazon who have immense knowledge in their ML domain.

Chegg inc.

Computer Science Subject Matter Expert

Sep 2021Dec 2023 · 2 yrs 3 mos · Remote · Remote

  • Assisted students with Computer Science doubts across various computer science subjects like Operating Systems, DBMS, DSA, TOC, Computer Networks, Compiler Design providing detailed explanations and solutions.

Geeksforgeeks

Technical Content Writer

Jul 2021Aug 2021 · 1 mo

  • successfully completed Work from Home Internship as a technical content writer at GeeksforGeeks. I have written 10 articles on technical subjects under this Internship.

Bmuco - blackbeam united cosmos organization

Content Writer Intern

Jan 2021May 2021 · 4 mos

  • Worked as content writer intern at BMUCO wherein my works included writing and editing content for their websites, social media and managing e-mails.
Computer Science

Education

UIET KANPUR, CSJMU

Bachelor of Technology - BTech — Information Technology

Jan 2019Jan 2023

KDMA International

Jan 2004Jan 2018

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