HRITHIK RATHI

347-***-**** ad4f7r@r.postjobfree.com https://www.linkedin.com/in/hrithik-rathi

EDUCATION

University of Illinois at Urbana-Champaign (UIUC) May 2024 Master of Science in Industrial Engineering

Concentration Advanced Analytics

Vellore Institute of Technology (VIT), Vellore, India May 2021 Bachelor of Technology in Mechanical Engineering

Relevant Coursework: Algorithm for Data Analytic, Design for Six Sigma, Design Analysis of Experiment, CS for Quants, Financial Engineering, Big Graph Social Network, Foundation of Information Processing, Convex Optimization, Deep Learning: Mathematics and Application

SKILLS

Languages: Python, C/C++, R, SQL, HiveQL, Pyspark, Spark SQL, PostgreSQL, MySQL Data Analysis and Visualization Tools: MiniTab, Advanced Excel, Tableau, Power BI, ArcGIS, Anaplan etc. Libraries: Pandas, Numpy, Sci-kit Learn, Matplotlib, SciPy, Seaborn, Ggplot, Dplyr, Pytorch, Tensorflow, MLflow, Dask, Machine learning, Deep Learning, Statistics, Data Modeling, Regression, Data and Analysis Certification: Lean Six Sigma Black Belt (LSSBB)(Credential ID: 5455/IND/3407), Programming for Everyone (University of Michigan)(Coursera), Python Basics (University of Michigan)(Coursera) EXPERIENCE

Piramal Capital and Housing Finance Limited, Mumbai, India Jun 2023 – Aug 2023 Data Science and Customer Modeling Intern (Business Intelligence Team)

• Implemented predictive models and data mining techniques to classify customers, reducing default rates by 10% through data-driven insights

• Focused on statistical analysis, data architecture, and the practical application of data engineering principles

• Developed efficient data pipelines in a cloud computing environment, enhancing data governance and security protocols Dilip Buildcon Limited, Bhopal, India Feb 2021 – Jul 2021 Quality Control Data Analyst Intern

• Recieved technical training and applied statistical modeling and Lean Six Sigma methodologies to optimize quality control processes, reducing loss in the casting process by 8% and workflow optimization

• Optimized sand molds using Ansys and simulation; improving product quality and efficiency; reducing post-casting costs by 11%

• Utilized data visualization techniques to present findings, influencing data-driven decision-making

• Demonstrated expertise in data analytics by efficiently applying simulation and Ansys in industrial processes Righill Electrics Pvt Ltd, Bhopal, India May 2018 – Jun 2018 Design Engineer Intern

• Developed and cataloged brackets with detailed drawings and specifications for production staff

• Designed metal housings for flood lamps, considering size, weight, electrical requirements, and material properties

• Streamlined design and drafting process, reducing production time by 5% ACADEMIC AND PERSONAL INTEREST PROJECTS

Predictive Analytics: NYC Citi Bike Station Deployment XGBoost, Pandas, Neural Network, Deep Learning Nov 2023

• Deployed Graph Neural Network (GNN) model to analyze NYC Citi Bike data, capturing spatial-temporal usage patterns

• Conducted thorough data preprocessing, Data Integration, handling missing values, and transforming categorical data to prepare datasets for complex model training

• Implemented two deep learning approaches: single graph model for entire dataset and daily graph model to capture day-to-day variations in bike-sharing demand

• Achieved Mean Absolute Error (MAE) of 0.766 with GNN models, highlighting accuracy in predicting bike rental patterns and potential for real-time operational decision-making in urban bike-sharing systems Predictive Modeling for Financial Market Customers Snowflake, Python, XGBoost, Pandas Aug 2023

• Retrieved past customer data from database using Snowflake and SQL, and established classifier model using XGBoost that predicted good and bad customers with 95% accuracy

• Reduced bad customer acquisition by 10%

Complex Vehicle Routing Problem Python, PyCUDA, C++ Mar 2023

• Implemented dynamic delivery optimization algorithm to maximize efficiency and minimize costs, resulting in 25% reduction in delivery fuel cost

• Prioritized demand by product type, premium, and cost, which helped increase overall efficiency by 17%

• Maximized profit with modified multiple TSP optimization that outperformed conventional optimizers by 8%

• Engaged in comprehensive studies on algorithm design, cloud computing applications, and machine learning model development Youtube Trend Analysis Using AWS AWS (Glue, Athena, Lambda, Quicksight), Python, SQL Nov 2022

• Built data lake and ETL pipeline for data parsing, conversion, structuring, and dashboarding

• Parsed unstructured data using AWS Glue and generated structured dataset using AWS Lambda

• Queried structured data using AWS Athena; visualized on AWS QuickSight, identify top 10% of video categories

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