Summary
Overview
Work History
Education
Skills
Websites
Projects
Certification
Publications
Timeline
Generic
RITIKA MAHAJAN

RITIKA MAHAJAN

Summary

Passionate AI specialist with a proven track record in ML, DL, Generative AI, and Computer Vision. Leveraging expertise in data analysis and model development, seeking a challenging role to drive innovation and contribute to cutting-edge projects in AI-driven solutions and technologies.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Analyst Risk Advisory - Cyber : Data and Privacy

Deloitte India
Gurugram
08.2023 - Current
  • Developed sensitive data classification systems for structured and unstructured data, ensuring compliance with regulatory requirements by identifying and labeling PII, PHI, PCD, and other confidential information with success rate of 95%.
  • Led cross-border collaborations with Deloitte Hong Kong, utilizing advanced generative AI techniques to fortify data protection initiatives. Implemented anonymization, access control, and continuous monitoring to enhance cybersecurity measures, ensuring regulatory compliance and proactive risk management
  • Led a highly successful project in enabling a secure cloud environment by leveraging Netskope's CASB (AI/ML) capabilities. Implemented proactive threat detection and advanced user behavior analysis for robust data protection
  • Directed the evaluation and deployment of advanced data protection measures to strengthen cybersecurity defenses.
  • Enforced stringent access controls to regulate data access and enhance security measures.
  • Implemented robust data governance frameworks and sensitization protocols to ensure comprehensive protection of sensitive information against cyber threats.

Intern- Data Science

Hscompliance
Ludhiana
05.2022 - 02.2023
  • Deployed advanced recommendation algorithms, including collaborative filtering, content-based filtering, resulting in a significant increase in user engagement and satisfaction rates
  • Expertly managed large custom datasets, ensuring precise analysis of diverse user preferences and behaviors, leading to improved accuracy and relevance of product recommendations.
  • Utilized cutting-edge segmentation techniques to identify distinct user groups, enabling highly personalized product recommendations tailored to individual preferences and needs, resulting in increased conversion rates and customer retention. Leveraged segmentation algorithms

Education

M.Tech. (Artificial Intelligence) -

NIT Jalandhar
08.2023

Skills

  • Python/Java/SQL
  • Federated Learning
  • AWS
  • Machine learning
  • CNN/RNN
  • APIS
  • Deep Learning
  • Generative AI/Transformers
  • Pandas/Numpy
  • prompt engineering
  • Cuda
  • Machine Learning
  • TensorFlow/PyTorch
  • Seaborne/ Matplotlib
  • GANS

Websites

Projects

Privacy Constrained Load Profiling using Smart Meter Data, NIT Jalandhar

  • Led a project on load profiling in decentralized smart meter data, ensuring GDPR compliance for retailer privacy.
  • Implemented federated learning algorithm with autoencoder on Irish (C.E.R) dataset, ensuring privacy and addressing data heterogeneity by locally encoding data and leveraging collaborative model training with partitioned datasets for weekdays and weekend
  • Demonstrated the effectiveness of the proposed approach in extracting meaningful features and patterns from unlabeled smart meter data, ensuring privacy, optimizing communication efficiency,

Smart Virtual Try-On with Generative Adversarial Networks

  • Develop a virtual try-on system that leverages GANs to create a realistic and personalized experience for eye glasses for customers.
  • Integrate GAN model for virtual glasses try-on with image upload or webcam. Users select frames, app combines facial data with frame using GAN to generate try-on image. Optional: adjust glasses position/size.

YouTube Video Transcript Summarizer with Gemini Pro

  • Developed a comprehensive application from conception to deployment, leveraging Google Gemini Pro for YouTube video transcription and summarization via Large Language Models (LLMs).
  • Employed Python to handle backend tasks such as API calls and data processing, while leveraging Streamlit to create an intuitive and user-friendly interface. This combination facilitated seamless integration between backend processes and frontend presentation, allowing users to effortlessly input video URLs and view summaries with ease.

Certification

PCEP (Python Certification Basic)

GENAI with LLM Modely by Andrew Ng(coursera)

Publications

  • Privacy Constrained Load Profiling using Smart Meter Data - (2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA))| Publisher - IEEE.

Ritika Mahajan;Kailash Chand Sharma;Deven Vatsal

Timeline

Analyst Risk Advisory - Cyber : Data and Privacy

Deloitte India
08.2023 - Current

Intern- Data Science

Hscompliance
05.2022 - 02.2023

M.Tech. (Artificial Intelligence) -

NIT Jalandhar

Similar Profiles

CREATE PROFILE
RITIKA MAHAJAN