Projjwal Das

Director of Engineering

Bengaluru, Karnataka, India14 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

14 years of experience in Data Science across multiple domains.
Expert in developing ML solutions for wealth management.
Proven leadership in managing teams and projects.

Stackforce AI infers this person is a Data Science expert in Fintech and SaaS industries.

Contact

Skills

Core Skills

Data ScienceMachine LearningData Analysis

Other Skills

PythonSASDataikuSolution ImplementationUnixR (Programming Language)Data VisualizationCustomer Segmentation StrategyPeople ManagementUnstructured DataSQLStatisticsData MiningStatistical Modeling

About

- Data Science professional with 14 years of industry experience across domains and geographies - Significant exposure in developing and implementing ML solutions - Leading a team of 5 members working on cutting edge technologies to deliver global wealth management strategies

Experience

Standard chartered bank

2 roles

Director, Wealth Analytics

Promoted

Dec 2022 – Present · 3 yrs 3 mos

Lead Data Science initiatives to extract key data insights to create business value/ reduce business risks in Wealth Management across markets
Lead developments of client segmentation solutions to form client personas across markets. This will help the bank to come up with personalized product/ service offerings based on client profiles
Lead initiatives on process enhancements, automation and standardization

PythonMachine LearningData Science

Associate Director, Data Science

May 2020 – Nov 2022 · 2 yrs 6 mos

Led the development of Propensity Models for Cross-sell, Deepening and Retention strategies of the Bank and thus increasing the engagement and loyalty of clients
Built Algorithmic Decisioning for Credit Cards and Unsecured Lending using alternate data leveraging ML techniques

SASDataikuData ScienceMachine Learning

Redbus

2 roles

Senior Data Scientist

Promoted

May 2018 – May 2020 · 2 yrs

redBus.in is India's largest online bus ticketing platform, trusted by over 6 million Indians. With a sale of over 6,00,00,000 Bus tickets via web, mobile, and bus agents, redBus stands at the top of the game in bus ticketing in India. In India, redBus.in operates on over 70,000 routes and is associated with 2,300 reputed bus operators. For more: http://www.redbus.in/info/aboutus
I was responsible for development, implementation and maintenance of all analytics solutions across multiple teams of Redbus, namely Product, Finance, Operations, Marketing and Customer Service team. Below is a list of some of the problems that I worked on during my tenure with Redbus -
Bus Cancellation Prediction
Customer Churn Prediction
Text Analytics
Recommendation Engine
Hotel Cross Sale
As a larger part of the role, I have been engaged in mentoring junior members of the team and conducting trainings for Statistics and Data Science.

Machine LearningSolution ImplementationData Science

Data Scientist

Jul 2016 – Apr 2018 · 1 yr 9 mos

Wipro

Business Analyst

Jul 2010 – May 2015 · 4 yrs 10 mos · Kolkata, India

I started my professional life in Wipro working as part of the Core Analytics group catering to various clients like Nike Inc., 7-eleven, Best Buy Co. Inc. Primary my work responsibility was to understand the business requirements, use data and analytics to help business make data driven decisions and present these solutions to the client. I was working in different areas of retail analytics, e.g. building an adaptive pricing model for Best Buy, store clustering for 7-eleven, markdown optimization and size pack optimization for Nike etc. Being a part of the core team, we solved a lot of ad-hoc problems from the clients as well, which helped me in getting better at my analytical skills, database management, SAS, SQL. The role also gave me exposure in working with UNIX shell scripting, Excel VBA.
I was placed out of United States for six months working for Nike Inc. in their headquarters in Beaverton, Oregon. The role demanded consulting and partnering with the customer on their business requirements related to size pack optimization and developing impactful and efficient solutions.

UnixR (Programming Language)Data Analysis