Summary
Overview
Work History
Education
Skills
Projects
Certification
Timeline
Generic

DRISHTI GUPTA

Bengaluru

Summary

Associate Data Scientist with a strong product mindset, building AI solutions in computer vision, MLOps, and conversational AI. Improved model performance and translated business problems into practical solutions. Focused on problem definition, user needs, and data-driven decision-making, with an interest in transitioning into Product Management and cloud-based roles.

Overview

3
3
years of professional experience
3
3
Certifications

Work History

Associate Data Scientist

Reliance Jio Infocom Pvt Ltd
Bangalore
12.2022 - Current

Machine Learning Engineer | Dec 2022 – Present

  • Improved object detection accuracy from (84% to 90%+)through iterative experimentation and dataset optimization (7K+ images), addressing class imbalance and defining evaluation metrics (Precision, Recall, F1/F2) aligned with use cases.
  • Collaborated with cross-functional teams (DS, engineering), participated in stakeholder demos, and contributed to chatbot testing to enhance workflows and user experience.
  • Assisted in building Kubeflow pipelines for reproducibility, while maintaining documentation, trackers, validation reports, and supporting onboarding & knowledge sharing

LEAP 3.0 Winter Internship – COSS India & Prodevans Technologies (with RedHat Academy) Dec 2020 – Apr 2021

  • Gained hands-on experience with Linux fundamentals, command-line operations, and Python scripting for automation.
  • Acquired introductory knowledge of AWS Cloud Services and cloud deployment basics.
  • Completed structured training modules, demonstrating adaptability to new technologies.

Education

Bachelor of Engineering - Computer Science And Engineering

Sambhram Institute of Technology (VTU)
Bangalore
07-2022

Cluny Convent PU College (KSEEB)
Bangalore
03-2018

Kendriya Vidyalaya No.1 ( CBSE)
Banglore
03-2016

Skills

Product & Analytics Skills:

  • Product Thinking & Problem Definition
  • Stakeholder Communication & Requirement Gathering
  • Data Analysis & Dashboarding
  • Product Testing, Validation & Experimentation
  • Documentation, Reporting & Insights Communication

Machine Learning & AI

  • Computer Vision: Object Detection (YOLOv3–v9), OCR (Tesseract), Image Augmentation
  • Image Classification & Model Optimization
  • Model Evaluation: Precision, Recall, F1/F2 Score
  • NLP & Conversational AI: Chatbots, Text-to-Speech (Mozilla TTS, Coqui, Bark, Tortoise), Lip Syncing, Face Restoration

Tools & Technologies

  • Python
  • SQL (Basic)
  • Docker (Basic)
  • Linux
  • Kubeflow (Basic)
  • DataBricks (Basic)
  • Label Studio (Data Annotation)

Projects

AI based Object Detection for Network Diagnostic (Fiber, AirFiber, S2-PMS, Remote Diagnostics): Built YOLOv3→YOLOv9 models, boosting accuracy 84%→90%+, reducing loss, optimizing inference, and improving dataset quality (7K+ images, 70% reduction in class imbalance).

Automated Video Generation: Developed pipeline using voice cloning (Mozilla TTS, Coqui, Bark, Tortoise), lip-syncing & face restoration to create personalized videos for employee engagement.

Kubeflow ML Pipelines: Gained hands-on experience with Kubeflow (basic) for ML pipeline workflows.
Assisted in pipeline setup and experimentation for model training and validation and documented workflows and use cases to support reproducibility and team adoption.

Reporting, Documentation & Collaboration:
Conducted model performance analysis and comparisons; maintained trackers and presented insights to stakeholders for data-driven decision-making.
Led internal demos and mentored new team members, strengthening cross-functional collaboration and knowledge sharing.

Chatbots & Product Testing: Validated HR Bot & product-specific bots, improving workflows, user experience, and system reliability.

Magic-Wall: Visualization Using Enhanced Wall Segmentation ( Academic Project ) 

  • Built a semantic-aware system for virtual room decoration, enabling realistic wall color visualization in indoor images.
  • Applied Edge-aware FCN + Enhanced-Net with ADE20K dataset for accurate segmentation despite occlusions/furniture.
  • Delivered an interactive prototype with applications in AR/VR, real estate, and smart interior design.

Certification

AWS Cloud Practitioner — In Progress

Timeline

Associate Data Scientist

Reliance Jio Infocom Pvt Ltd
12.2022 - Current

Bachelor of Engineering - Computer Science And Engineering

Sambhram Institute of Technology (VTU)

Cluny Convent PU College (KSEEB)

Kendriya Vidyalaya No.1 ( CBSE)
DRISHTI GUPTA