Data Scientist

• Jul 2023 - Present

Operations Associate

• Jan 2023 - Present

Role: Mail room operations associate 1) Assisted with on-site mail room services.2) Researched and Organised on-site packages to achieve faster delivery to students.3) Provided support for scheduling and delivering mail.

Athletic Facility Operations Assistant

• Sep 2022 - Present

1) Managing Inter-University games for Northeastern Univeristy.2) Working on the pre-game and post-game maintenance.

Applied Intelligence - Data Scientist

• Aug 2021 - May 2022

1) Led on Customer Architecture Platform integrated with Google Cloud Console for Wendy's Company to develop 50+ campaigns for various marketing purposes leveraging Big Query ML, Looker and Lytics resulting improved customer engagement by 45%. 2) Created 100+ KPIs on Web/eCommerce Personalization, Dynamic Creative Optimization, Consumer Intelligence, Data Management which helped to increase efficiency by 20% in locating golden customer records using ETL (SnowFlake), Big Query Analytics. 3) Prepared 5+ sales pitches, projected sales and created visualizations for Wendy's Company deploying Tableau and looker. 4) Utilized tailored data analytics and business intelligence to calculate incentive compensation for over 1500 Wendy’s representatives. Show less

Business operations associate

• Jun 2020 - Aug 2021

1) Managed 200+ change requests, performed 5+ large-scale deployments, and proof of concepts related to operations for MERCK, USA. 2) Reduced manual workload of creating deliverable reports by 60% with full proof accuracy using SQL, Looker, Python Reporting. 3) Involved in building a sales force management solution for MERCK that combines SQL, Python, and AWS for overseeing business regulations, improving the efficiency of operations in the USA, and contributing to an increase in revenue by 20% Show less

Data Scientist

• May 2019 - May 2020

1) Developed 15+ machine learning prediction models with average 95% accuracy such as Movement Prediction, Image Processing, Disease Prediction etc. for vLife project primarily focused on healthcare domain using XGBoost, Random Forest, CNN, RNN, LSTM, CV2 etc. 2) Aided the Stanford University Research team with building machine learning models based on research papers reducing more than 90% of noise leveraging Convolutional Neural Network, Data Shapely and Contrastive PCA in image data for better prediction results. 3) Orchestrated and Organized meetings with crucial executive stakeholders, achieving a 90% level of satisfaction among clients. Show less

blockchain Intern

• May 2018 - Jul 2018

Worked on development of Private blockchain network using Hyperledger and Hypercomposer Blockchain model. Worked on development of Private blockchain network using Hyperledger and Hypercomposer Blockchain model.