Kandor is an AI-Powered International Education Platform. Currently, Kandor helps students ace English language exams like IELTS through an AI-powered tool and apply to colleges through personalized and data-driven counseling. Try our product at https://www.trykandor.com

1) Presented at Open Studio, Cornell Tech’s flagship product competition, with Zerobit, a user-friendly military-grade secure storage service which is based on power of decentralization2) TA for Statistics Class3) Emerging Markets Institute Scholar4) Independent Study in Applied Machine Learning and Security

Responsible for controlling Supply Side Fraud through analytics and product development.1) Brought down fraud in Ola’s fastest growing vertical Auto from 5% to 1% saving $1.72 M in bottom-line in 2 months2) Designed and managed the development of Ride Earnings Based Penalty Penalization, creating theability to penalize fraud activity in real time saving $ 300 K in bottom-line3) Conducted and designed Driver Sentiment Surveys, determining our drivers' and our competitor's (Uber's) drivers' perception of fraud and fraud preventive actions4) Built Ola’s Driver Spy Network across 6 cities, creating ability to detect fraud mechanisms ahead of time

Loonycorn is a content start-up with over 40K students, $0.6M in revenues - entirely bootstrapped, with courses on Stack Social, PluralSight, Udemy and many other platforms.1) Devised the high-level product and marketing strategy for the products (courses) which sell in 100+ countries on topics ranging from Machine Learning and Big Data to Popular Science2) Built relationships with Indian Ed-Tech platforms and launched Indian market specific product offerings3) Created content for Programming (Hindi), IOT, Machine Learning, Finance and Big Data4) Help designed a course which covered ML techniques for text classification, text summarization (used NLTK, KNN, NB, TF-IDF, K-Means), sentiment analysis (used SVM, NB), recommendation systems (used Apriori Algorithm) and other classification problems (used random forests)5) Designed a course using Raspberry Pi on Internet of Things and home automation

Tech Business Finance was a special team that was tasked with determining the financial and strategic impact of all the tech projects (costing $80 M annually) running in the company and the product roadmap.Determined financial and strategic impact of all the tech projects ($80 M/ year) and the product roadmap1) Saved $8 M annually by identifying 16 product features through Systematization Study that involvedinterviewing 100+ people at various levels across the supply chain and marketplace operation teams2) To measure the impact of Tech Products, developed Product Back Tester, a product based on a Quantmethodology of Back-testing, used it for +20 product features, helping product managers and techleadership evaluate and improve product offerings. Awarded ‘Spot Award’ for the project.3) Built and productized Flipkart Group level P &L statements, collaborating with 50 people across from Tech and Finance side; saved $0.5 M through reduction in Full-Time Employees

Managed Inventory Planning and Returns Management Analytics Teams at Flipkart1) Helped reduce Customer Returns in Mobile Category (80% of GMV) by 40% (net savings–$4M/year)2) Built predictive inventory tracking analytic systems that predicted dead and slow moving inventories, and key inventory metrics, resulting in timely liquidation ($1 M saved) and high In-Stock% (5% jump)3) Got ahead of the time promotion

Built and designed Flipkart's Inventory Analytics systems which managed Flipkart’s $40 M inventory1) Key Business Metrics as In-Stock% and Regional Utilization% jumped by 20%2) Managed difficult business partners and drove weekly business reviews rigorously with them

Helped Senior Management of Flipkart’s Customer Service team take decisions by defining and tracking key business metrics for entire operations which measured efficiency, quality and scalability of operationsDefined and tracked key business metrics for entire Customer Support operations1) Created a case for Phone Sales Team that proposed to double the Phone Sales Team in order todecrease customer acquisition costs; Worked with Operations Teams to reduce repeat contacts by 25%2)Was awarded the highest rating of ‘5’ among 80 Management Trainees and promoted ahead of the time

Worked on Financial closure, financial model and DPR