Aug 2022 – Dec 2023 · 1 yr 4 mos

• Enhanced customer experience by optimizing Contact Center workflows — reducing call transfers and average handling time. Built a Real-Time Intent Prediction Model to identify caller intent before call pickup, enabling intelligent, seamless routing to the most appropriate agent.
• Applied cutting-edge Machine Learning/Deep Learning techniques, Knowledge Graphs, and bias-mitigation strategies to drive data-informed decisions and boost operational efficiency.

Aug 2021 – Aug 2022 · 1 yr

Jan 2021 – Jul 2021 · 6 mos

• Built a personalized Recommender System for a Financial Wellness portal, leveraging user data such as financial status, age, location, and profile insights. A standout feature of the model was its ability to assess the semantic similarity between recently read articles and new content, enabling more relevant recommendations. This model led to a 2x improvement in Hit Rate — from 2% to 4%.

Jan 2020 – Jul 2020 · 6 mos · Gurgaon, India

• Project I: Generative Face Completion
• Developed a Side to Frontal face synthesis replicating DR-GAN and incorporated improvements in existing architecture using Wasserstein Loss.
• This architecture improved the Frechet Inception Distance (GAN performance metric) from 5.38 (DR-GAN) to 1.27 on Multi-Pie Dataset.
• Deployed in the State Police forces of UP and Haryana enhancing their Facial Recognition performance to catch criminals by 20%.
• Project II: Masked Face Detection & Recognition (Combating Covid-19)
• Simulated a dataset of 3.5 Million masked faces from VGG-Face2 on faces extracted using the facial keypoints from MTCNN and OpenCV.
• Integrated a facial feature extractor (Resnet-50 pretrained on ImageNet) to extract distinguishing features of face separating the masked part.
• Incorporated Center Loss, a discriminative feature learning approach, resulting the detection and identification rate to 97.3% on LFW dataset.
• Deployed by various government agencies, organizations and malls as surveillance and attendance logger system.

May 2019 – Jul 2019 · 2 mos · Gurgaon, India

• Project I: User Segmentation Clustering Model
• Applied K-Means Clustering Model on the user base to obtain different segments of users captured by OYO using Elbow Method to obtain optimal clusters.
• Campaigns and Target Strategies were launched for the segments to boost their engagement, and strategized to explore the unexplored segments.
• Project II: New User Economy Drive
• The project was targetted towards the the section of the economy that is new for OYO and is gradually becoming capable to plan vacations
• Analyzed the potential of this segment, drafted a framework of the drive to acquire as many users as possible along with the partnership with organizations
• Launched a pilot for OLA and UBER drivers for PAN India covering a network of more than 35,000 drivers.
• Developed an end-to-end tracking mechanism of the bookings, automation of the system, and resolved the technical glitches, if any.
• The campaign acquired more than 3,000 new users, generating gross revenue of more than INR 3.2 Million and a trending ROI of 3%.
• Project III: Partnership and PhonePe Cohort Analysis
• Objective of this analysis was to visualize the Retention Cohorts of the new users acquired through Partnerships with other organizations.
• Retention, Frequency and Life-time Value analysis of the new users captured was carried out to analyze the behaviour of the users.
• Carried out an intensive User Engagement analysis for the users acquired through PhonePe platform along with the pre and post journey of the users.
• This analysis was helpful in identifying the optimal offers to attract users and regulate strategies to switch users from PhonePe to In-App.

Mar 2019 – Jan 2021 · 1 yr 10 mos

• Leading a 3 tiered team of 260 students for planning and execution of the 60th edition of the fest
• Part of a 16 member advisory team responsible for budget allocation, crowd management
• and security during the fest
• Revamped the sponsorship timeline and workflow of sponsorship heads to account for major
• administrative changes

Apr 2018 – Mar 2019 · 11 mos

• Part of a 4 member team vested with the responsibility of garnering funds for a fest which has a budget of over INR 1.5 crore
• Co-led a team of 34 core organizing team members and coordinated with 9 cross-functional teams to successfully conduct the fest
• Secured total sponsorship of INR 1.19 Crore; contacted over 350 companies; successfully pitched to 12 companies.
• Garnered cash sponsorship of INR 19 lakhs, being the sole member to bring in the major sponsors of 2 starnights out of 4.
• Conceptualised and executed for the first time ever an event ‘Navyata- the Ethnic Fashion Show’
• Coordinated the sponsorship drive in Bangalore leading to a 29% YoY increase in the cash sponsorship, which is the highest ever from Bangalore
• Strategized marketing initiatives and branding avenues in and outside campus for the prospective sponsors of Spring Fest 2019
• Being the sole Lights and Sound attache:
• Prepared a budget with a 10% YoY decrease in costs for the overall Lights and Sound requirements of the fest which includes all the Event venues, the nerve centre of the Fest (Arena) and the Pronites Ground
• Revamped audio-visuals and LED backdrop of 4 pro-shows and responsible for overseeing the entire power supply and ensuring the proper lights and sound requirements of the institute during the fest

Aug 2017 – Apr 2018 · 8 mos

• Generated sponsorship revenues of INR 3.64 Lakhs through alumni and corporate deals.
• Solely responsible for the proper execution of the Food Fest genre during the fest that include events,
• workshops and guest lectures, bringing a participation of 400 Food enthusiasts.
• I was a part of Participant Reception Team during the fest that involved proper in*-house
• accommodation and commutation of 7000+ participants.
• Solely responsible for bringing a participation of 23 participants from Jammu and Kashmir for the first
• time ever.
• Co-led a team of 37 associate members, responsible for effective publicity in over 450 colleges across
• the country, and publication of articles in different regional and national newspapers and magazines in
• India.
• Conducted the nationwide prelims of 4 events in Delhi achieving a 170% YoY increase in the
• participation, with Duet Dance taking place for the first time ever.
• Conducted the prelims of Wildfire- Rock Band Competition in Delhi, achieving a 300% YoY increase in
• participation.

May 2018 – Jun 2018 · 1 mo · New Delhi Area, India

• Provided Operational Support to Atal Innovation Mission and Atal Tinkering Labs team
• Framed Intellectual Property and Innovation Policy for MKB University in a team of 4 members
• Evaluated 104 Startup entries for Startup Mentorship Program of Atal Innovation Mission to select top 10 entries.
• Documented a report on Mobility in Indian Transportation System portraying the present and future scenario, and solutions to different problems faced by this sector.

Apr 2018 – Apr 2019 · 1 yr · Kharagpur Area, India

• Project Prazium- Aim at providing affordable and low cost housing solution to the economically handicapped section of the society and providing employment to the skilled and unskilled labor force by replacing bamboo with steel reinforcements in construction sites.
• A processed bamboo have been developed in Structural Engineering Laboratory, Civil Engineering Department of IIT Kharagpur under the guidance of Prof Damodar Maiti, which is stronger, durable and cheaper than steel.
• This project is presently implemented in the construction of Security Posts in each Hall of Residence of IIT Kharagpur. The objective is, however, to make it available to the general public by collaborating with industries and NGOs to provide affordable, earthquake resistant and environment free housing.