Peerzada Mohammad Rabet Data Scientist @ZS (AI Commercial) | Gen AI | NLP | The

Data Science Expert

Mercor

Nov 2025 - Jul 2026 (9 months)

• Created and tested Data Science Jupyter Notebooks for training and evaluating large language models (LLMs). • Built reproducible data and ML workflows with Python, NumPy, Pandas, Scikit-Learn, Tensorflow and PyTest. • Designed diverse analytical and machine learning tasks to improve model performance and reliability.

Machine Learning Engineer

Turing

Sep 2025 - Nov 2025 (3 months)

Machine Learning Engineering Workbench

Advanced Data Science Associate

ZS

Jul 2025 - Current (1 year 1 month)

• Agentic AI Systems Training Program (5 Weeks): Gained hands-on experience with Generative AI, Large Language Models (LLMs), and techniques like prompt engineering. Explored tools and frameworks such as LangChain, LangGraph, RAG, GraphRAG, and worked with concepts in multi-agent and agentic AI systems. • Audience Identification: Analyzed MDP data containing pageviews and impressions across multiple channels (mobile, PC, TV, radio, etc.) to segment audiences. Used mean difference indexing to surface key Social Determinants of Health (SDOH) features and get top demographic insights.

Python Developer

Crossing Hurdles

Jan 2025 - Current (1 year 7 months)

Python Developer, Agentic AI Python Tasks

Research Analyst

Turing

Sep 2024 - Aug 2025 (1 year)

• Worked as a RLHF expert to fine‑tune large language models (LLMs) for prominent clients in the tech industry like Apple, Meta and Microsoft. • Used techniques like SFT (Supervised Fine-tuning) and DPO (Direct Preference Optimisation) to fine-tune LLMs. • Improved LLMs’ mathematical accuracy by providing specialized reinforcement learning feedback on complex problem sets and solutions. • Ensured precise LaTeX formatting and grammatical accuracy in model responses to enhance clarity and professional presentation.

Decision Analytics Associate

ZS

Jul 2024 - Jun 2025 (1 year)

• Automated Market Basket Creation: Finetuned LLMs and web-scraped latest medical drugs data from different websites to create an Auto-MB tool that takes a disease query which is prompted to the model to generate a disease overview generator document and a market basket for that disease. • Activity Tagging - Disease to SubTA: Implemented PubMed-BERT embeddings to map diseases from multiple data sources (PubMed, Citeline, Ctgov, Brandwatch, Ovid) to their corresponding Sub-Therapeutic Areas, significantly reducing computational time through batch processing in PyTorch. • AI Patient Identification: Built and trained machine learning classification models (XGBoost, LightGBM, Random Forest) on patient claims data from IQVIA using bagged Positiv

Python Course Developer

Aakash educational services limited

May 2024 - Aug 2024 (4 months)

• Developed a comprehensive three‑step Python Programming course covering basic, intermediate, and advanced levels • Introduced a dedicated module focused on logic building, problem solving, critical thinking, and algorithmic approach‑based learning • Leveraged Scratch (block‑based coding) in the basic course to provide an in‑depth understanding of programming concepts to children • Designed engaging and interactive course materials, presentations, and laboratory component to enhance student learning and retention • Provided detailed training sessions and support to instructors and tutors for effective course delivery and student engagement

Business Development Intern

Mahindra Group

Jun 2023 - Aug 2023 (3 months)

• Performed comprehensive analysis contrasting CODE by Swaraj, Mahindra with its competitor models, emphasizing performance and user satisfaction • Effectively executed on-field comparative trials across Rajasthan and Punjab comparing CODE's efficacy on a wide range of crops and soil • Contributed to Swaraj R&D team on the innovative development of a novel Reverse Forward Rotavator and a Reaper for CODE by Swaraj • Orchestrated a comprehensive product demand analysis among Kashmiri apple growers, facilitating regional launch of CODE by Swaraj

Research Intern (Bachelor’s Project)

Rajendra Mishra School of Engineering EntrepreneurshipRMSoEE

May 2023 - Apr 2024 (1 year)

• Adulteration Detection in Saffron: Developed and trained a Convolutional Neural Network (CNN) model from scratch to detect adulteration in saffron by analyzing images of pure and adulterated saffron strands, achieving an accuracy of 89%. • Demand and Price Forecasting of Saffron in India: Applied advanced time-series forecasting techniques, including ARIMA and multi-variate models (Linear Regression, SVR, Random Forest, XGBoost), as well as deep learning models like LSTM, to predict demand and pricing trends for saffron in India.

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Food Processing and Value Addition Intern

ShereKashmir University of Agricultural Sciences and TechnologySrinagar

Jun 2022 - Jul 2022 (2 months)

• Innovatively crafted unique value-added products derived from raw vegetables and fruits cultivated in the organic farms of Kashmir Valley • Implemented frugal engineering strategies to optimize food processing expenses, ensuring economic yet high-standard quality production • Developed a range of products, encompassing different vegetable pickles, scientifically dried vegetables, and tomato ketchups and purees

Reviewer (Linear Algebra and Calculus)

Photomath

Feb 2022 - Jun 2022 (5 months)

• Promoted as a reviewer at Photomath Inc., an AI based e-learning application assessing and validating mathematical solutions on the platform after showing exceptional performance as Photomath Solver

Solver (Linear Algebra, Calculus, Statistics, Geometry)

Photomath

Dec 2021 - Jun 2022 (7 months)

• Created high-quality mathematical content, delivering top-tier solutions for intricate problems on Linear Algebra, Geometry, and Calculus • Utilized LaTeX typesetting system for rendering complex mathematical equations and leveraged Geogebra tool for graphical representation

Summer Associate

Business Club IIT Kharagpur

May 2021 - Jul 2021 (3 months)

Business Club Associate

Associate Member

Student Welfare Group IIT Kharagpur

Apr 2021 - Nov 2021 (8 months)

• Successfully organized and anchored a Panel Discussion of DepC Talks 2021, witnessing a viewership of more than 270. • Efficaciously worked in the Foresight event by interviewing 10 students and describing their stories of placements and internships. • Contributed in the social media content creation of Facebook page of Student's Welfare Group, IIT Kharagpur

Tutor (Calculus, Linear Algebra and Statistics)

Filo

Mar 2021 - Jul 2021 (5 months)

• Executed over 150 live one-on-one sessions with students, mentoring and guiding them. • Interacted with 100+ students and resolved their doubts on a variety of topics.

Peerzada Mohammad Rabet

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