▪ Created and handled official communication channel between 1k+ alumni, faculty and students. ▪ Organized and hosted virtual events connecting alumni to the Institute.▪ Led the content selection and designing of the Newsletters bringing out achievements of the alumni, faculty and the present student batches.

▪ Developed a Micro-schemes model to increase EBD by up to 15% based on product affinity ▪ 1/8 Data Scientists to be promoted out of a total 250 employed by the firm across locations▪ Secured the highest performance ratings 105+/100 in reviews consistently for 3 years

Winner, Embed AI Hackathon (Dec,’18)2nd Position, AI Triathlon (Feb,’19) Recommendation Engine for a CPG MNC:▪ Analytical development of a Decline Arrestor for sustained growth of 2 unique billed lines ▪ Identified factors impacting de-growing stores to couple model adoption with avg. line growth▪ Simulated the EBD and value growth of new products under constraints of stable growth▪ Estimated territorial growth in avg. lines billed by conceptualizing a Monte Carlo… Show more Winner, Embed AI Hackathon (Dec,’18)2nd Position, AI Triathlon (Feb,’19) Recommendation Engine for a CPG MNC:▪ Analytical development of a Decline Arrestor for sustained growth of 2 unique billed lines ▪ Identified factors impacting de-growing stores to couple model adoption with avg. line growth▪ Simulated the EBD and value growth of new products under constraints of stable growth▪ Estimated territorial growth in avg. lines billed by conceptualizing a Monte Carlo Simulation▪ Scaled the recommendation model from 18k to 600k live stores across the country▪ 8x reduction in execution time by reformulating a forecast problem into a classification problemSensitivity Predictor for a Fashion MNC:▪ Predicted skin sensitivity using molecular spectra, saving ~3 months of testing time.▪ Achieved a high AUC (0.90) and Cohen Kappa (0.72) score for a highly imbalanced classification.▪ Developed a heat map, correlating H-C spectra peaks with mixture skin sensitivity.Retail Shelf Analytics App:▪ Full stack development and deployment of an app to process and analyze store shelf images.▪ Designed a dashboard demonstrating relevant metrics of product placement and visibility. Show less

▪ Ideated, designed and developed a File Version Management System integrated with an editor replicating Excel abilities for the Product Engineering team.▪ Developed modification and production release of new features on the testing platform to handle parallel multi-channel testing.▪ Identified and removed bugs from the company-wide encryption application creating data safety standards.

Chief Editor of the Society blog, social media handles and newsletters.Conducted workshops and interviewed eminent personalities visiting the Institute.Conducted the first ever Model United Nations at IIT Bhubaneswar with 500+ registrations.

1 out of 256 Engineers selected from over 24k applicants for the Indian Academy of Science Summer Fellowship. Worked under Prof. Santanu Chaudhury at CSIR-CEERI, Pilani on a project titled, "Application of Dimensionality Reduction Algorithms in Emotion Recognition Systems".Designed a new method for Facial Emotion Recognition system with application in Biometrics.

Headed the scribes team, consisting of 6 Student Guides, creating the content for onboarding and activities for the incoming batch.

Managed onboarding, registration and welcoming for 200+ students and personal counsellor to 20+ students.Ideated and designed a "Freshers Guide to Campus" to help new students get acquainted with the Institute campus and culture.

Strategized on-ground and online publicity across 30+ colleges across Odisha and nearby states with a team of 10.