Priyanshu Rai – Data Analyst | Public Profile on Dr.Job

نبذة عني

Results-driven Data Analyst and Power BI Developer with 2 years of professional experience spanning an AI/ML data services platform (UK) and applied data science internship roles. Specialises in building end-to-end Power…

الخبرة

Data Analyst – AI Operations

MEA Platform (UK-based AI/ML Services) · Bengaluru Urban , Karnataka , India

Feb 2025 - حتى الآن · 1 سنة 5 أشهر

Processed, cleaned, and annotated 12,000+ datasets for AI model prompt training, performing rigorous data cleaning, data validation, and quality assurance aligned with ML team standards, directly reducing pipeline error rates by 30%. Engineered Python (Pandas) automation scripts for prompt validation and report automation, cutting manual QA effort by 20+ hours/month and accelerating client delivery workflows through statistical analysis of annotation quality metrics. Designed and maintained a multi-page Power BI KPI dashboard tracking annotation progress, error rates, and dataset coverage in real time, enabling business intelligence reporting for 5+ stakeholders across 3 time zones. Built scalable ETL pipelines using SQL and Python to extract, transform, and load unstructured data into structured datasets for downstream analytics, KPI reporting, and AI model quality improvement.

Data Science & ML Intern

YBI Foundation · Bengaluru Urban , Karnataka , India

Jun 2024 - Jul 2024 · 30 أيام

Built and evaluated regression analysis models for admission prediction, sales forecasting, and credit default analysis using Scikit-learn; documented evaluation metrics (RMSE, R², Accuracy) and presented findings in weekly sprint reviews. Performed feature engineering and exploratory data analysis (EDA) on real-world datasets, delivering structured visualisations using Pandas and Matplotlib to support data-driven decision making.

المشاريع

Blinkit churn analysis

own · GitHub.com/priyanshurai196

المدة : 31-May-2026 - 06-Jun-2026

This repository contains the analysis and resources related to investigating customer churn for Blinkit, conducted as part of the IIT Guwahati Strategy Storm 2025. The primary objective is to identify key factors contributing to customer attrition and explore potential strategies for churn reduction using data-driven approaches.The analysis employs a combination of methodologies:Exploratory Data Analysis (EDA): Utilizing Python libraries (Pandas, Matplotlib, Seaborn, ydata-profiling, Sweetviz) and Power BI for initial data exploration and visualization.Automated Machine Learning (AutoML): Leveraging H2O.ai’s AutoML framework to rapidly build and evaluate various predictive models (including XGBoost and Deep Learning) for churn prediction.Data Visualization: Using Power BI to create interactive dashboards for visualizing churn patterns and key metrics.

المهارات

SQL Python MySQL PostgreSQL EDA Statistical Analysis Regression Analysis KPI Reporting Predictive Modelling Churn Analysis Customer Segmentation A/B Testing Data Storytelling Pandas NumPy Scikit-learn Matplotlib Seaborn TensorFlow Keras OpenCV NLTK Statsmodels Power BI DAX Power Query Tableau Excel Pivot Tables VLOOKUP INDEX-MATCH ETL Pipelines Data Warehouse Concepts Star Schema Data Cleaning Data Validation Data Transformation Structured Data Processing Unstructured Data Processing Microsoft Azure Git GitHub Flask Power Automate Jupyter Notebook VS Code Data-driven Decision Making Stakeholder Communication Agile/Scrum Cross-functional Collaboration