ASSORTMENT INSIGHTS CAPABILITY Developed and implemented an NLP-based classification framework from scratch to identify whitespace categories and generate guest demand signals. This is used in optimizing assortment decisions and onboarding new vendors in Target Plus, resulting in enhanced relevance and competitiveness of Target's product offerings.Techniques and Tools: Bert, S-Bert, Fasttext, NLP, Textrank, Yake: Python, PySpark, StreamlitPROMOTIONS INISIGHTSDeveloped advanced algorithms to measure incremental sales ratio from digital promotions, evaluating their effectiveness; and collaborated with the Guest Experience team to provide thought leadership on hero metrics and KPIs, enabling measurement of guest perception and the impact of promo messaging. The ISR metric is used by the category captains to plan future promotions.Techniques and Tools: Time Series Forecasting, Kalman filters, R, Python, Hive, DomoCLEARANCE INSIGHTSImplemented ML solutions to measure the impact of the clearance recommendation engine (Autumn AI) on capture rate and sell-through; developed outlier logic to identify scenarios for manual intervention in markdown recommendations; and analyzed the impact of manual overrides. The solution was used to optimize decision-making process and enhance the efficiency of the clearance ops team.Techniques and Tools: ML Techniques, Python, PySpark, Domo, Greenfield

Marketing Analytics Ecosystem - Worked as Senior Analyst for "Guest Innovation" teamAUTOMATED CLASSIFICATION SOLUTIONCreated an automated solution to all types of binary classification. The steps include variable reduction based on VIF values in an iterative fashion, finding the significant variable using Feature Importance, and implementing different binary classification algorithms.Techniques: Logistic Regression, Decision Tree, Random Forest and Support Vector Classifier; Tools: Hive, Python and PySparkFINDING PROJECTS WITH HIGH SYNERGIESFinding different projects with high synergies using paradigmatic and syntagmatic relations and other distance based metrics from program management systems like Smartsheet and NinJira.Techniques and Tools: Text Analytics; PythonLOYALTY PROGRAM VALUECalculating the sales and margin lift for different loyalty programs using a pre-post analysis on a test and control group. The project helped in decisions regarding budget allocation.Techniques and Tools: K-Nearest Neighbor; Hive and PySparkCUSTOMER SEGMENTATIONCreating a customer segmentation for focussed marketing based on business requirements, using different clustering techniques.Techniques and Tools: K-means; R

Marketing Analytics Ecosystem - Worked as Analyst for "Guest Propensity and Scoring" teamPROPENSITY MODELS FOR DIFFERENT CAMPAIGNSFinding the right customers to whom we need to send mailers, emails or offers for various campaigns using their past transaction behaviors. The projects helped the marketing team to send more customer centric offers.Techniques and Tools: Logistic Regression and Decision Tree; SAS EG and RCUSTOMER CHURN MODELPredicting customers who are going to churn out using their recent transaction behaviors. The projects helped the marketing team to send offers for right customers lowering the churn rate Techniques and Tools: Logistic Regression; SAS EGPHARMACY CUSTOMER PREDICTIONBased on store transaction behavior of customers, we wanted to predict which of these customers also shop at Target Pharmacy. This data was used by the marketing team to engage Target pharmacy customers, after Target Pharmacy was closed.Tools: Logistic Regression; SAS EGHealthcare Analytics• Patient Retention Modelling for Target pharmacies• Patient Segmentation for Target pharmacies• Analysis at Payor and Manufacturer Level• Diabetic Business dashboard• Omni-channel Incrementality in Healthcare domain

Guest level Analysis• Household creation for Pharmacy guests based on their transaction methods• Analysis of Specialty drugs business, segmented by drugs and disease state, and value added to Target Pharmacy• Calculation of new metrics - retention and adherence rate for chronic pharmacy guests• Analysis of File-buy guests and their impact on the Rest of Stores buying pattern• Analysis of different Loyalty Program and related campaigns and calculated incrementality in terms of Sales and other metrics • Ad-hoc analysis on Pharmacy Benefit Managers (PBM) and Drugs• Support Reporting BI using Excel and Tableau• Automation of reports in SAS and UNIX environment

Project Title: Business Opportunities at the Industrial Units at SEZ / Industrial Parks in Tamil NaduLocation: Chennai (Field Work in Coimbatore, Tirupur and Madurai)Interviewed officials of various Export Promotion Councils (EPCs) and Directors and CEOs of different Export Oriented Units (EOUs) and thereby identifying the nature and scope of demand for loans in the export segment, diagnosed the problems faced by the industries, and reported expected turnover and export data

• Facilitated international students in solving assignments in Economics and Statistics through voice chats and emails• Reviewed work of co-instructors• Guided students to enhance their problem solving skills