Hi, I'm Pramishan Regmi, a Data Scientist with extensive experience in delivering AI and machine learning solutions across diverse sectors like manufacturing, fintech, and enterprise. I enjoy working with Python, statistical modeling, and cloud technologies such as Databricks and AWS to build scalable, data-driven solutions that help businesses make informed decisions. I’m passionate about turning complex business questions into production-level AI models and actionable insights. I’ve had the opportunity to collaborate cross-functionally with engineering and product teams, deploying predictive analytics dashboards and building end-to-end machine learning pipelines. With a master's degree in data science and a strong engineering foundation, I’m always eager to tackle challenging problems and contribute to impactful projects.

Pramishan Regmi

Hi, I'm Pramishan Regmi, a Data Scientist with extensive experience in delivering AI and machine learning solutions across diverse sectors like manufacturing, fintech, and enterprise. I enjoy working with Python, statistical modeling, and cloud technologies such as Databricks and AWS to build scalable, data-driven solutions that help businesses make informed decisions. I’m passionate about turning complex business questions into production-level AI models and actionable insights. I’ve had the opportunity to collaborate cross-functionally with engineering and product teams, deploying predictive analytics dashboards and building end-to-end machine learning pipelines. With a master's degree in data science and a strong engineering foundation, I’m always eager to tackle challenging problems and contribute to impactful projects.

Available to hire

Hi, I’m Pramishan Regmi, a Data Scientist with extensive experience in delivering AI and machine learning solutions across diverse sectors like manufacturing, fintech, and enterprise. I enjoy working with Python, statistical modeling, and cloud technologies such as Databricks and AWS to build scalable, data-driven solutions that help businesses make informed decisions. I’m passionate about turning complex business questions into production-level AI models and actionable insights.

I’ve had the opportunity to collaborate cross-functionally with engineering and product teams, deploying predictive analytics dashboards and building end-to-end machine learning pipelines. With a master’s degree in data science and a strong engineering foundation, I’m always eager to tackle challenging problems and contribute to impactful projects.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate

Language

English
Advanced

Work Experience

Data Scientist at Achievers Technologies LLC
December 1, 2024 - Present
Developed predictive and prescriptive models using XGBoost, LSTM, and optimization algorithms, enabling data-driven business decisions across sales and operations. Analyzed structured and unstructured datasets using Pandas, SQL, and NLP to identify trends, patterns, and key drivers for customer behavior. Designed and built interactive dashboards and UI tools using Flask and Plotly Dash to visualize insights and deliver real-time business intelligence. Created data preprocessing pipelines leveraging spaCy, TensorFlow, and AWS Lambda for scalable transformation of diverse data sources. Monitored and retrained models with performance tracking metrics, ensuring long-term accuracy and model relevance. Presented complex analytics using Power BI, matplotlib, and seaborn through intuitive data visualizations tailored for executive stakeholders. Engineered modular, reusable ML pipelines with MLflow and Databricks, reducing deployment time by 40% and improving team efficiency.
Data Science Internship at Code Gravity LLC
August 31, 2024 - July 18, 2025
Designed and deployed machine learning pipelines for sales forecasting, improving accuracy by 18% using XGBoost and LSTM models. Built NLP pipelines for sentiment classification and topic modeling using spaCy, BERT, and Power BI. Developed a lease document parser using OCR, regex, and Flask to automate data extraction and legal flagging. Used Databricks and AWS for scalable deployment and data orchestration. Created interactive Power BI dashboards to communicate insights to business stakeholders.
Manufacturing Data Analyst at Zimmer Biomet
July 31, 2023 - July 18, 2025
Analyzed production line sensor data to reduce defect rates by 12% via anomaly detection and statistical process control. Collaborated on KPI optimization using regression models, Pareto analysis, and process automation tools. Built custom SQL dashboards and Excel-VBA tools for real-time performance monitoring. Led Six Sigma projects to improve throughput and documented measurable outcomes.

Education

Master of Science at University of the Cumberlands
July 1, 2023 - August 31, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Manufacturing, Financial Services, Software & Internet