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Click here or scroll down to respond to this candidateCandidate's Name
Street Address -216-6189 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLEEDUCATIONUniversity of Illinois at Urbana-Champaign (UIUC) May Street Address Master of Science in Industrial EngineeringConcentration Advanced AnalyticsVellore Institute of Technology (VIT), Vellore, India May Street Address Bachelor of Technology in Mechanical EngineeringRelevant 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 ApplicationSKILLSLanguages: 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) EXPERIENCEPiramal 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 PROJECTSPredictive 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 |
