Disha Verma
Aurora,IL
Summary
Data Analytics and Engineering professional with over 9.5 years of experience with a background utilizing Python, SQL, Big Data technologies on Azure and AWS. Adept at managing end-to-end implementation of data lake, performing data science algorithms, data wrangling, data storage and data visualization. Relevant experience in cutting edge analytics and data science solutions.
Overview
12
12
years of professional experience
Work History
Data Scientist
Tabore IT Info Tech
Chicago, Illinois
12.2023 - Current
- Designed and implemented data pipelines to efficiently consume Drug Ingredients data from the Daily Med that utilized XML data stored in Azure Blob storage, ensuring reliability and scalability of the data storage solution
- Developed automation processes to convert HL7 and XML data to CSV format, mount the blob storage into Databricks and integrate CSV data into Databricks for seamless machine learning analysis, enabling advanced insights and decision-making capabilities
- Applied Machine Learning algorithms to the Daily Med data combined with FDA and ASHP drug shortages data to evaluate the drug shortage reasons across the USA
- Created graph database structures to draw insights on drug relationships with their ingredients using Azure Cosmos DB utilizing Gremlin API
- Integrated Azure Cosmos DB with Graphlytic App to display on the frontend
Full Stack AI Engineer
University of Illinois - Urbana Champaign
Chicago, Illinois
06.2023 - 12.2023
- Designed and executed a comprehensive data collection plan to create an AI grader pipeline
- Created repository on GitHub for CI/CD implementation and integrated with Azure Web Application service to deploy Node.js and Python (LLM based) AI chatbots
Senior Data Analyst
Power Kiosk
Chicago, Illinois
02.2023 - 05.2023
- Analyzed the behavior of pricing based on historical data to improve broker’s profitability by 30% in revenue
- Performed Linear Regression and Random Forest to determine the trend of pricing behavior for electricity contracts
- Conducted regular performance tuning on Databricks clusters to improve job execution times and optimize resource utilization
- Developed customized Tableau dashboards for the Sales team, resulting in a 35% increase in overall sales productivity and a 20% decrease in customer acquisition costs
- Leveraged advanced Excel functions and SQL queries to streamline report generation and data analysis processes, reducing report turnaround time by 50% while ensuring accuracy
- Implemented a real-time monitoring system for broker payments, allowing for immediate identification of discrepancies and enabling timely corrective actions to decrease deviation to less than 3% monthly
Data Specialist
Rail TEC
Champaign, Illinois
01.2022 - 12.2022
- Developed and implemented a highly efficient web application using Python Django framework to process client's train data with 99% accuracy, resulting in a 25% increase in client satisfaction
- Streamlined data collection and analysis process by creating automated scripts that reduced the time taken for data processing by 40%, resulting in a significant improvement of website performance metrics
- Implemented effective security measures for the website, including user authentication and authorization, ensuring compliance with industry standards while reducing security threats by 80%
- Developed new data tracking system utilizing Excel V-Lookup and Pivot Tables resulting in a 50% increase in efficiency and accuracy of data analysis
Data Specialist
Philips
10.2016 - 12.2021
- Developed cloud-based solutions to perform ETL operations by ingesting files, JSON (API) data, database sources using Azure CLI and used Azure ADLS Gen 2 for data storage
- Created Azure Data Factory (ADF) pipeline that acted as a transformation tool to perform data curation and data transformations
- Created Tableau reports and dashboards on the gold data from the consumption layer, to provide assessment of patients’ clinical outcomes over the course of time
- Collaborated with Product Owner to implement Philips products as part of software development life cycle in an Agile model
Interface Analyst
Accenture
09.2015 - 10.2016
- Upload data into build and production environments that involve updates to master records in healthcare systems
- Analyzed different data sources using MS SQL and Python
- Established batch connections (SFTP/FTP) between hospital systems
- Worked on troubleshooting issues with electronic medical record systems resulting in a 25% increase in efficiency
Software Analyst
Deloitte
05.2013 - 09.2015
- Development and maintenance of medical record source systems and identifying discrepancies by querying patient’s data on SQL platforms
Education
Master of Science - Data Analytics
University of Illinois Urbana-Champaign, Gies College of Business
Champaign, Illinois12.2022
Bachelor of Electronics and Telecommunication -
Rajiv Gandhi Technical University
Bhopal, India09.2012
Projects
Impact of Digital Coupons for a Premium Retailer Brand, Champaign, Illinois, Worked on cleansing and performing EDA for about 70 GB of structured data in python to analyze Customer’s Market Basket analysis and impact of coupon offer value on the retailer products. Online Shopper Behavior Prediction, Performed EDA, ML algorithms (Random Forest Classification, Logistic Regression) and created Power BI dashboards based on previous shopping trends to identify revenue generation of eCommerce platforms. Amazon Fraud Detection on User Reviews (AWS), Using AWS services like Lambda, Glue and QuickSight performed Text Analysis and Feature Engineering to detect fake user accounts.
Blog
https://medium.com/@disha.vermaa
Certificationsandskills
Python Data Analysis, AWS Cloud Foundations, Azure Data Fundamentals, KNIME for Data Wranglers, SAFe Agile, Python (Pandas, NumPy), SQL, R, TensorFlow, PyTorch, Scikit-learn, Linear Regression, Random Forest, Azure, AWS, Databricks, Delta Lake, Postgres SQL, Tableau
Timeline
Data Scientist
Tabore IT Info Tech
12.2023 - Current
Full Stack AI Engineer
University of Illinois - Urbana Champaign
06.2023 - 12.2023
Senior Data Analyst
Power Kiosk
02.2023 - 05.2023
Data Specialist
Rail TEC
01.2022 - 12.2022
Data Specialist
Philips
10.2016 - 12.2021
Interface Analyst
Accenture
09.2015 - 10.2016
Software Analyst
Deloitte
05.2013 - 09.2015
Master of Science - Data Analytics
University of Illinois Urbana-Champaign, Gies College of Business
Bachelor of Electronics and Telecommunication -
Rajiv Gandhi Technical University
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