Education

  • 2024-2026: Master of Science, Information Management at University of Illinois Urbana-Champaign
  • 2020-2024: Bachelor of Science, Information Systems, Computer Science at University of Illinois Urbana-Champaign

Experience

Data Analyst Intern, Kohler Co.

May 2023 - Present

  • Formulated and developed a KPI to denote delivery block resolution utilizing a Python script, resulting in a 15% reduction in delayed deliveries, aligning with strategic operational goals
  • Developed a real-time Power BI dashboard facilitating connectivity between SQL data to effectively monitor and analyze process mining changes, providing the leadership team with actionable insights for decision-making
  • Created a Power BI dashboard by using Python and Power Query to wrangle data from Intelex and Excel, calculating and visualizing sustainability metrics to deliver insights for effective sustainability tracking
  • Leveraged Python, UiPath, SAP, Power BI, and EveryAngle to identify and resolve process bottlenecks, collaborating with cross-functional teams to aggregate data from three sources, resulting in a 25% increase in efficiency, 30% higher customer satisfaction, and a 20% reduction in costs
  • Engineered an application using MS Power Apps to forecast shipping dates based on order master data attributes, leading to improved accuracy and efficiency in delivery predictions and process optimizatio

Data Analyst Intern, Aspire Impact Pvt. Ltd.

Jun 2022 - Aug 2022

  • Performed data triangulation and wrangling activities using Python for 30 companies of the Dow Jones and BSE Sensex indices, employing regression analysis to identify significant correlations among ESG ratings, risk, profits, and market capitalization
  • Developed a robust multiple linear regression model using Python to accurately predict market cap to ~93% based on ESG ratings, risk factors, and profits for the 30 companies analyzed

Data Steward - Programmer, Manager, UIUC Gies College of Busines

Feb 2022 - Aug 2023

  • Spearheaded content development across diverse Learning Management Systems, achieving a 10% efficiency boost in HTML and ePub creation via automation through Python

Skills

  • Python
  • Numpy
  • Pandas
  • Scikit Learn
  • Beautiful Soup
  • Jupyter Notebook
  • SQL
  • R language
  • AWS - EC2, S3, Redshift
  • Google Cloud Platform
  • Spark
  • Hadoop
  • Android Studio
  • VS Code
  • Tableau
  • MS Excel
  • SAP
  • Power BI

Projects

Customer Acquisition Optimization through Predictive Modelling

  • Enhanced customer acquisition strategy through comprehensive data analysis, leveraging a suite of supervised learning models including linear regression, logistic regression, decision tree, and random forest models to drive informed decision-making
  • Evaluated customer response rates and analyzed revenue generated by individual customers

Enhanced Car Sales Predictive Model with Big Data Engineer

Developed a scalable car sales predictive model using GCP's VM instance (Dataproc), Hive, PySpark, BigQuery for data processing, and Tableau for intuitive data visualization, enhancing decision-making for stakeholders

Celonis Process Optimization

Conducted in-depth analysis of operational data for a prominent US retailer, utilizing tools like Python and Tableau, uncovering inefficiencies and implementing improvements that led to significant cost savings totaling $3 million

Analyzing Bitcoin Volatility Amid Cryptocurrency Regulations Using Python

nvestigated the impact of cryptocurrency regulations on Bitcoin price volatility by leveraging Python for data analysis, employing time series analysis to integrate historical price data from Yahoo Finance and legislative records from Congress.gov, uncovering trends in market reactions to regulatory events

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