Jan 2022 – Dec 2023 · 1 yr 11 mos · Bengaluru, Karnataka, India

• Launched UrbanInteriors, Optimised customer support in Salesforce, reducing call-to-order ratio.
• Implemented marketing CRM
• Led omni-channel retail enhancements.
• Managed platform migration to central Jio Commerce, streamlining operations

Oct 2021 – Jan 2022 · 3 mos

• Built an end to end pipeline to identify useful information from 2 million SMSs collected from our customer's devices by clustering and labelling techniques. Developed clustering and DNN frameworks for grouping and classification of various categories like Transactions, Utilities, Services, Investments, Salary accounts, etc;
• Skills Used: MachineLearning, AWS and DataMining, NLP, Product Management, FAISS, SQL, Keras, Pytorch.

Jul 2021 – Oct 2021 · 3 mos

• Building a scalable Skin Cancer Detection and Diagnosis platform to support dermatologists and pathologists in discovering
• cancer in the early stages under 60 seconds using ResNet-50 (transfer learning) on ISIC Archive (which contains 12,000 images of 7 skin types for classification). Achieved an accuracy of 89% and used various other visualization techniques like Lime, GradCam and, Shap Analysis to understand models better.
• Skills Used: Machine Learning, Computer Vision, JIRA, Cross-validation and Deployment, Flask, TensorFlow, Keras, Pytorch

Mar 2021 – Apr 2021 · 1 mo · Bengaluru, Karnataka, India

• Designed and developed an automated Python visibility tracking system to check the weighted online visibility of Xiaomi and its competition products on various E-commerce platforms like Amazon and Flipkart in India, thus improving the net visibility by 20% in mobile and ecosystem products. It was done using web scraping and seller API to monitor the positioning of Xiaomi products on the Homepage and CLP (Category Landing Page) with data accuracy of 96% and recognition accuracy of 90%.
• Also, made a mechanism of track Review, Ratings, Sentiments, Prices, and other details of Xiaomi and its competition products, thus helping the team build strategy around specific areas.
• Skills Used: Web-Scraping, Machine Learning, Data Analysis, Deep Learning, Google Vision API, Excel, PowerBI.

Sep 2020 – Dec 2020 · 3 mos · Gurugram, Haryana, India

• Managing existing technical and managerial integrations with payment gateways, banks, and deploying multiple payment methods like UPI, E-mandate, SI (Standing Instruction) increasing overall success rate.
• Converting payment platform from non-seamless to seamless flow, designing payment checkout page and implementing dynamic auto-switching rules reducing the bounce rate of users of about 40% to less than 5% and MDR reduction.

May 2020 – Oct 2020 · 5 mos

• Made a scientifically sound framework that can track the epidemic’s progress across multiple relevant domains under the guidance of doctors at AIIMS.
• Analysed the raw data through statistically and epidemiological robust methods to get the desired indicators for Transmission, Testing, Healthcare system.

Apr 2020 – Aug 2020 · 4 mos

• I am a member of open source organization named Mdanalysis, which works on analysis of molecular dynamics.

Oct 2019 – Dec 2019 · 2 mos

• Researched and Developed a dashboard by analyzing twitter data on specific topics and celebrities using Natural Language Processing (using Unigrams + Bigrams + Trigrams, trained on Naive Bayes Classifier.).
• Used web-Scrapping and other API based techniques for the collection of data.
• Experience with performance analysis (Accuracy: 85%), optimizations, and benchmark evaluations.

Jun 2019 – Jul 2019 · 1 mo · Gwalior Area, India

• This is a 3 credit internship, where I got to work with technologies like Excel, SPSS and Matlab.