Aradhika Acharya Email & Phone Number

Zurich, Switzerland

Zurich, Switzerland

Quantitative Financial Risk Analysis for a major US investment bank focusing on foreign exchange products:Implemented Python code & pipelines to facilitate the sensitivity and stress-testing for integrating front-office pricing models with back-office risk calculation pipelines.Performed statistical analyses, including KS test, Sensitivity test, Convergence test and Price Dispersion Analysis to assess financial risks accuratelySurvey Process Optimization:Spearheaded data… Show more Quantitative Financial Risk Analysis for a major US investment bank focusing on foreign exchange products:Implemented Python code & pipelines to facilitate the sensitivity and stress-testing for integrating front-office pricing models with back-office risk calculation pipelines.Performed statistical analyses, including KS test, Sensitivity test, Convergence test and Price Dispersion Analysis to assess financial risks accuratelySurvey Process Optimization:Spearheaded data analytics for surveys as the Subject Matter Expert, optimizing the survey analysis pipelines through the development of efficient Python scripts and a Power BI dashboard.Delivered comprehensive survey analytics solutions to diverse clients, enhancing decision-making processes and providing valuable insights. Show less

Bengaluru, Karnataka, India

• Increased the adoption of Zetwerk’s Process Management tool from 75% to 90% across different business units by analyzing and surfacing concise, effective and actionable information to the customers• Highlighted the abuse of promised delivery date refreshes by on-ground force, through analysis of expected and actual delivery dates and the frequency of the updates• Developed automated scripts & dashboards to help Product & Business teams get insights and metrics in real time

Bengaluru, Karnataka, India

Part of Citi Retail Services, Decision Management Team: Providing analytical support to major retailers in North America

Bengaluru, Karnataka, India

• Prediction of loan defaulters for one of the biggest Auto finance companies in India with over 25 lakhs customers and annual revenue of INR 4,000 Cr- Segmented X-Bucket customers using Decision Trees basis past repayment behavior to take differentiated actions- Identified potential self-pay customers to reduce field allocation of x-bucket customers from 75% to 45%- Created risk scores for live customers to prioritize repossession using gradient boosting classifier; used… Show more • Prediction of loan defaulters for one of the biggest Auto finance companies in India with over 25 lakhs customers and annual revenue of INR 4,000 Cr- Segmented X-Bucket customers using Decision Trees basis past repayment behavior to take differentiated actions- Identified potential self-pay customers to reduce field allocation of x-bucket customers from 75% to 45%- Created risk scores for live customers to prioritize repossession using gradient boosting classifier; used resampling techniques such as K-fold cross validation and SMOTE for imbalanced class data- Created risk segments to identify customers at log-in stage who would potentially end up in seizure to reduce loss upon resale of seized vehicle• Secured 6th position in a time series forecasting challenge on Kaggle (Cartesian internal) • Developed Tableau dashboards for manufacturing plants of a Luxury Goods company to monitor productivity, cost and efficiency on hourly, weekly and monthly basis Show less

Bengaluru Area, India

- Developed donor retention strategies for a Non-profit Organisation ; implemented feature engineering and clustering of donors- Built a predictive model to identify potential donors to target using R; achieved accuracy of 87% and increased the donation amount by 25%- Built a dashboard using Microsoft Power BI tool-Developed an ETL layer for a Fashion retailer to extract and transform Sales and Inventory data from online marketplaces - Worked on developing a Business… Show more - Developed donor retention strategies for a Non-profit Organisation ; implemented feature engineering and clustering of donors- Built a predictive model to identify potential donors to target using R; achieved accuracy of 87% and increased the donation amount by 25%- Built a dashboard using Microsoft Power BI tool-Developed an ETL layer for a Fashion retailer to extract and transform Sales and Inventory data from online marketplaces - Worked on developing a Business Intelligence Tool for a Fashion retailer which displays daily reports through Tableau dashboards Show less

Work From Home

Front end development to make the website responsive on various devices (remote)

New Delhi Area, India

-Implemented support for product catalogue management and billing for the logistics firm Delhivery-Developed a web calendar application to manage day to day tasks

Bachelor Of Engineering - Be, Computer Science

Activities and Societies: Public Speaking , Coordinator of Technical Society

High School/Secondary Diplomas And Certificates, 91%

Activities and Societies: Student Body Council