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prathamSharma25/README.md

Hi there ๐Ÿ‘‹ Welcome to my GitHub profile!

I am Pratham Sharma, a data science professional with expertise in Advanced Analytics, Predictive Modelling, and Business Intelligence. I help organizations make data-driven decisions, solve problems, and generate value by harnessing the power of Data Science and Advanced Analytics.

๐Ÿ’ผ Professional Experience

2+ years of experience as a Data Scientist across the Healthcare and Financial Services sectors, building data-driven solutions that help organizations tackle crucial business problems, improve operational efficiency, and make data-driven decisions.

๐Ÿ† Key Achievements

  • Developed and deployed forecasting models to forecast emergency department visits with 96% accuracy, leading to a 28% reduction in under-staffing during periods of peak demand.
  • Led the development of multiple Power BI dashboards for cross-functional teams to facilitate informed decision-making.
  • Leveraged statistical modeling techniques to implement algorithms that can accurately detect anomalies in financial transactions, resulting in a significant 56% decrease in the time taken to detect fraudulent activity.

โญ Areas of Expertise

  • Building predictive analytics and forecasting models using machine learning and time series analysis techniques
  • Performing data analysis and statistical modeling to uncover patterns and identify actionable insights
  • Data cleaning, data modeling and data visualization to convey key insights to stakeholders
  • Effective communication of results and details of technical solutions to stakeholders to facilitate informed decision-making
  • Collaboration with cross-functional teams to understand business requirements and propose suitable technical solutions

๐Ÿง  Core Skills

Here are a few things I've gained knowledge about over the course of my journey in the world of Data & Analytics:

  • ๐Ÿ–ฅ๏ธ Programming languages: Python, R, JavaScript
  • ๐Ÿ’พ Databases: PostgreSQL, Microsoft SQL Server, MySQL
  • ๐Ÿ“Š Data Science & Analytics: Machine Learning (Pandas, Numpy, Scikit-Learn), Natural Language Processing, Deep Learning (TensorFlow, OpenCV, Neural Networks), Time Series Analysis, Predictive Analytics, Statistical Modeling, Hypothesis Testing, Data Visualization, Data Warehousing
  • ๐Ÿ”ง Tools & Technologies: Microsoft Power BI, Tableau, Microsoft Azure, Azure Machine Learning, MLflow, Azure Data Lake, Data Pipelines, Microsoft Fabric, Apache Airflow, Microsoft Office
  • ๐Ÿ—‚๏ธ Project Management: Git, GitHub, Azure DevOps, JIRA
  • ๐ŸŒ Web Development: FastAPI, Flask, PHP, HTML, CSS

๐Ÿ“ซ Get in touch

Iโ€™m always eager to connect with fellow professionals, recruiters, and organizations looking to leverage data science and advanced analytics. If you are interested in discussing potential opportunities or collaborations, letโ€™s connect and explore how my experience and skills can add value to your organization.

or send me an email ๐Ÿ“ง

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    This repository contains related work for the tasks assigned during the Data Analytics Consulting Virtual Internship offered by KPMG with InsideSherpa (now Forage).

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    Repository for the Applied Data Science Capstone Project (Course 10) of the IBM Data Science Professional Certificate specialization on Coursera.

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