Vandan Deulkar

Work

TravelBucket
|

Product Intern

Highlights

Researched and documented 30+ SEO-optimized tourism articles for website engagement and visibility

Conducted UX feedback analysis and user surveys to optimize site and information architecture

Analysed tourism industry to support decisions for product development and content placement

Volunteer

E-Cell IIT BHU
|

Events Head

Highlights

Led a team of 10+ members at Entrepreneurship Cell, scaling student-startup culture with 13+events

Planned and executed Google Startup Weekend with footfall of 125+students, resulting in 3 student startups

Built relationships with incubators and engaged with VC networks, enhancing opportunities for entrepreneur

Education

Indian Institute of Technology (IIT), BHU

→

B-Tech

Chemical Engineering

Grade: 8.77

Awards

First runner up at Dragon Pitch- a case study competition at Technex' 23 IIT BHU
National Finalist (Top 10) in Strategia- a consulting competition hosted at SJMSOM, IIT Bombay
Emerged as National Finalist at CaseQuesta, BITS Pilani out of 1400+ participants
Finished at 4th position nationally, at Eurogrip TORQ Challenge 3.0, out of 900+ participating teams

Skills

Technical

SQL, Python (Pandas, NumPy), MS Excel, Power BI, Figma, Jira.

Soft skills

Cross-Functional Leadership, Problem solving, Strategization, Adaptation.

Areas of Interest

Data Analytics, Machine Learning, User & Market Research, Statistics, Startups.

Interests

Extra Curricular Activities

Authored 1-of the 12 articles for Quest- The flagship magazine of Media Club IIT BHU, Successfully led organisation of 10+ events for E-Summit, E-Cell, managing a footfall of 4000+participants, Selected as a fellow under Marquee Equity, crafting monthly reports on Indian Investment marketing trends.

Projects

Accenture Strategy Connect

Summary

Identified counterfeit drug pattern in the supply chain and a lack of awareness in rural area • Engineered GenAI-based Dynamic labelling to track and trace drugs, reducing revenue losses by 5% • Built a rule-based AI chatbot to automate user queries and disseminate drug safety information in rural areas

Decision making model using Bayesian Networks

Summary

• Designed a decision-making model using Bayesian Statistics, tailored for integration into a no-code platform • Automated incentive design with probabilistic reasoning and DAGs, achieving cost savings • Utilised 50+ parameters to adapt to market conditions, producing more personalized incentive strategies

Case Study | Infra. Market AAC

Summary

Analyzed the AAC Block market for low dealer penetration and a lack of brand consumerization • Proposed partnerships to enhance market presence and developed financial projections to assess feasibility • Spearheaded marketing and BTL activities, including targeted dealer engagement and on-ground activations, increasing dealer penetration from 5% to 20% and enhanced brand visibility and market reach

Vandan Deulkar