Aditya Bhardwaj
@adityabhardwaj4
I build data-driven fraud, marketing, and forecasting solutions using Python and SQL.
What I'm looking for
I've delivered analytics solutions at Wells Fargo, improving fraud detection strategies to generate approximately 35K incremental bookings per month and more than $1.25M in annualized savings.
I automated control charts, vendor-data monitoring, and outage alerts using Tableau and AutoSys, saving around 750 man-hours annually. I also built an NLP ensemble model to analyze financial news and its implied context.
Previously, I reduced a downstream ETL process used by 200+ analysts from roughly 28 hours to 4 hours at Wells Fargo. At Amazon, I developed contact forecasting models for three Middle East countries using XGBoost, Random Forest, and multiple linear regression, achieving test-data MAPE within 10%.
My foundation includes machine learning, SQL, Python automation, Tableau reporting, and data science work across banking, marketing, operations, and IT incident management.
Experience
Work history, roles, and key accomplishments
Analyzed fraud trend data to deploy counter strategies leading to $1.25M+ annualized savings. Optimized fraud detection strategies and automated process control charts and vendor data in Tableau.
Presented actionable insights about Derived Deposits Income in Transactions Data utilizing Teradata & Hive SQL, Python, and Excel. Collaborated across teams to baseline and present live overview documents to senior leadership.
Researched and developed contact forecasting models using XGBoost, Random Forest and Multiple Linear Regression for three countries of operation. Extracted crucial metrics from databases to bring the model Mean Absolute Percentage Error to within 10% on test data.
Developed a Python-based machine learning classification solution to identify duplicate JIRA incidents, leveraging historical ticket data and feature engineering. Automated recurring data preparation and reporting workflows using Python and SQL.
Automated recurring data preparation and reporting workflows using Python (Pandas) and SQL, eliminating manual effort. Developed Tableau dashboards by integrating SQL-processed datasets for self-service reporting.
Education
Degrees, certifications, and relevant coursework
Vinod Gupta School of Management, IIT Kharagpur
Master of Business Administration, General Management
2020 - 2022
Grade: 8.33/10
Activities and societies: General Secretary, VGSoM Student Council; Equity Research Analyst, Drishtee Capital; Member, Tech Club
Pursued an MBA in General Management with a focus on Statistics, Analytics, and Technology Management, achieving a grade of 8.33/10.
Guru Gobind Singh Indraprastha University
Bachelor of Technology, Computer Science
2013 - 2017
Grade: 75.02%
Completed a Bachelor of Technology in Computer Science with a focus on Machine Learning, Data Mining, and Business Intelligence, achieving 75.02%.
Salwan Public School
Class XII, Science
Grade: 83.8%
Completed Class XII in the Science stream with Computer Science, achieving 83.8%.
Salwan Public School
Class X, General
Grade: 91.2%
Completed Class X with all subjects including Hindi, English, and French, achieving 91.2%.
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