Prasann Barot
Data Scientist @Mercor
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WORK HISTORY
Data Scientist @Mercor
Engineered high-impact Jupyter notebook evaluation suites to benchmark AI coding agents. • Utilized LLM-guided prompts and pytest validation to enhance evaluation accuracy. • Developed golden solutions across pandas, scikit-learn, and scientific computing pipelines at Mercor.
EDUCATION
Charutar Vidya Mandal University
Doctor of Philosophy - PhD, Computer Engineering
Gujarat technological university
Bachelor of Engineering (BE), Computer Engineering
CHARUSAT
Master of Technology (M.Tech.), Computer Engineering
ABOUT PRASANN BAROT
Data is only as valuable as the decisions it empowers.With over 9 years of experience at the intersection of data science, machine learning, and academic leadership, I do not just build models; I build scalable systems that solve complex business problems. My expertise lies in bridging the gap between technical innovation and tangible business value, helping organizations in healthcare, manufacturing, and retail turn raw data into ROI.Currently, I am diving deep into the frontier of generative AI. My recent work involves benchmarking AI coding agents and optimizing large language models (LLMs) through RLHF and adversarial prompting, achieving reasoning accuracy improvements of nearly 90%.What I bring to the table:End-to-End ML Engineering: From cleaning complex biosignals (EMG/ECG) to deploying XGBoost and LSTM models in production on AWS.Measurable Impact: I thrive on results. I have reduced manufacturing downtime by 20% via predictive maintenance, increased e-commerce order values by 15% through recommendation engines, and enhanced supply chain forecasting by 18%.Next-Gen AI: Proficient in designing evaluation suites for LLMs, utilizing Pytest, and ensuring data quality for AI training pipelines.Strategic Communication: Whether mentoring junior analysts or presenting Tableau dashboards to stakeholders, I translate complex algorithms into actionable insights.Technical Toolkit:Languages: Python (Pandas, Scikit-learn), R, MATLAB, SQLML & DL: TensorFlow, PyTorch, XGBoost, LSTM, NLP, Computer VisionGenAI: LLM Tuning, RLHF, Prompt Engineering, Model EvaluationVisualization & Cloud: Tableau, Power BI, AWSI am currently seeking opportunities as a data scientist or machine learning engineer where I can leverage both traditional predictive modeling and modern AI techniques to drive growth.If you are looking for a data professional who is as comfortable with code as they are with business strategy, I would love to chat. b••••••••@gmail.com
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