Shravan Senior Data Scientist
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I have over 10 years of professional experience as a Data Scientist, working in Machine Learning, Python, AI, Computer Vision, NLP, and Generative AI. Along with my industry work, I’ve spent the last several years teaching and mentoring students, graduates, and working professionals who want to build careers in ML/AI.

Teaching Experience

Conducted 1:1 mentorship for beginners transitioning into data and AI careers

Delivered corporate training sessions on Python, Machine Learning, Deep Learning, and RAG-based systems

Created hands-on educational content including coding tutorials, YouTube lessons, and step-by-step ML guides

Trained learners on real-world ML workflows including data preprocessing, model building, evaluation, deployment, and MLOps

Certifications & Skills

Industry certifications in Machine Learning, Deep Learning, and Python (Udacity, Coursera, and company-sponsored programs)

Expertise across the ML lifecycle — supervised/unsupervised learning, neural networks, NLP, Computer Vision, and LLMs

Teaching Methodology

My classes focus on:

✔ Clear, simple explanations

✔ Practical, example-driven learning

✔ Project-based teaching (end-to-end ML/AI projects)

✔ Coding from scratch and building intuition

✔ Interview-focused preparation (DS/ML roles)

Subjects

  • Python Beginner-Expert

  • Machine Learning Beginner-Expert

  • Computer Vision Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

  • Python 3 Beginner-Expert


Experience

  • Senior Data Scientist (Dec, 2022Present) at ATAMAI
    – Built an end-to-end two-stage segmentation pipeline for automotive interior and exterior parsing (coarse fine
    refinement) to deliver pixel-accurate masks for dealer catalog use-cases and automatic background replacement.
    – Owned full lifecycle: data curation, annotation workflows, preprocessing, model training, validation, and deployment handover for production integration.
    – Implemented generative vision projects: shadow generation (deployed models for realistic lighting cues) and reflection generation on floor surfaces (GAN-based, in progress) to enhance catalog realism.
    – Developed LLM-backed interactive chat agents for product Q&A and integrated transformer models into prototype
    systems.
    – Mentored junior engineers on reproducible experiments, model versioning, and deployment readiness
  • Data Scientist (Oct, 2017Dec, 2022) at J.P. Morgan Chase & Co, Hyderabad
    – Architected an Automated Rule Recommendation Engine for fraud detection using explainable ML techniques;
    improved detection accuracy and reduced false positives by 30%.
    – Designed monitoring, data validation, and model governance processes for high-volume transactional systems.
    – Inventor on multiple U.S. patents (see Patents & Publications section).

Education

  • PGSSP (Aug, 2016Sep, 2017) from International Institute of Information Technology Hyderabadscored A
  • M.Tech (Dec, 2012Nov, 2014) from AURORAS RESEARCH AND TECHNOLOGICAL INSTITUTE Hyderabadscored A

Fee details

    2004,000/hour (US$2.1142.10/hour)

    For Students, who can not afford quality education, I charge less to equip them with good quality education.


Courses offered

  • Python for Absolute Beginners

    • US$20
    • Duration: 4 Weeks
    • Delivery mode: Flexible as per the student
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Learn Python from scratch with simple explanations, hands-on exercises, and real coding practice.
  • Python for Data Science & Automation

    • US$20
    • Duration: 4 Weeks
    • Delivery mode: Flexible as per the student
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Build scripts, analyze data, work with libraries (NumPy, pandas), and automate real tasks.
  • Machine Learning for Beginners

    • US$60
    • Duration: 6 Weeks
    • Delivery mode: Flexible as per the student
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    A step-by-step introduction to ML concepts, algorithms, model building, evaluation, and projects.

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