Debleena Mukhopadhyay

Co-Founder

Bengaluru, Karnataka, India11 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Founding member of Dezerv, driving product innovation.
  • Led digital transformation at IIFL Wealth.
  • Expert in portfolio performance analysis and investment management.
Stackforce AI infers this person is a Fintech professional with strong expertise in product management and data analytics.

Contact

Skills

Core Skills

Product ManagementDigital StrategyInvestment ManagementData AnalyticsData Science

Other Skills

AutomationBusiness AnalyticsBusiness ModelingCC++Client EngagementClient ManagementData AnalysisData VisualizationData WarehousingDigital TransformationFinancial AnalysisInvestment ProposalsInvestmentsJava

About

Founding member at Dezerv. I have pursued my MBA in Finance from SP Jain Institute of Management and Research (SPJIMR). Post that, I have worked across digital and portfolio strategy teams for some of India's wealthiest families. Currently working on building a product to make investing easy and accessible to all.

Experience

Dezerv

Founding Member

Apr 2021Present · 4 yrs 11 mos · Bengaluru, Karnataka, India

  • Building the product at Dezerv!
Product ManagementDigital Strategy

Iifl wealth

3 roles

Associate Vice President, Digital Product

Oct 2020Aug 2021 · 10 mos

  • Leading the Product management team in the digital transformation journey of the company.
Product ManagementDigital Transformation

IIFL-ONE Process Control

Promoted

Feb 2019Oct 2020 · 1 yr 8 mos

  • Leading the team setting process frameworks and strategy for the advisory platform: IIFL-ONE.
Process FrameworksStrategyDigital Strategy

Senior Manager

Apr 2017Feb 2019 · 1 yr 10 mos

  • Family office (portfolio analytics):
  • Preparing Portfolio Reviews, Investment Proposals & Investment Mandates for prospective and existing clients as per their risk profile
  • Analyzing existing portfolios. Suggesting restructuring/ reallocation if required
  • Actively assisting in on-boarding clients, customization of materials
  • Preparing portfolio performance documents & pitch presentations
  • Preparing Stake Sale/Asset Sale structuring for clients and advising on Capital Gains
  • Deploying and monitoring portfolio as per asset allocation strategy
Portfolio Performance AnalysisInvestment ProposalsInvestment Management

Edelweiss financial services limited

Intern, Risk & Analytics

Aug 2016Oct 2016 · 2 mos · Mumbai Metropolitan Region

  • Project 1: Developed a framework to categorize incoming e-mails into ‘Positive’, ‘Negative’ and ‘Neutral’ buckets, based on their sentiment value
  • Developed a sentiment analysis model to understand customer perception, which categorized customer e-mails with ~81% accuracy
  • Set up the entire execution process and automated it to a single click operation which sent daily update mails to senior management
  • Project 2: Developed and automated a PV01 calculator for all the Debt products in the portfolio, for the Asset Liability Management Team
Sentiment AnalysisAutomationData Analytics

Global association of risk professionals (garp)

Certified Financial Risk Manager (FRM)

May 2016Nov 2017 · 1 yr 6 mos

  • Cleared both levels in the first attempt. Have been awarded the certification on completion of required work experience.

Mu sigma inc.

2 roles

Decision Scientist

Promoted

Dec 2014May 2015 · 5 mos · Bengaluru, Karnataka, India

  • Offshore Lead:
  • Supervising offshore delivery for a 4 member team, maintaining synergy with onsite teams & clients
  • As part of a 5 member team, converted a $100,000 pitch for a new team to develop a standardized executive dashboard for the CIO of a leading US based Insurance company
  • Worked on building data warehouse on Hadoop Distributed File System
  • Was awarded the 'Impact Award' for going beyond baseline asks for multiple projects, delivering excellent client experience and managing multiple transitions effectively
Data WarehousingClient ManagementData Science

Trainee Decision Scientist

Jul 2013Dec 2014 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • Actively supported the ‘Product Operations’ team of a leading US based Insurance Company through multiple analyses:
  • Devised a methodology to track discrepancies, trends & the root causes behind tickets that led to financial compensations – This was appreciated by clients & taken up as a business goal that year
  • Built a visualization tool to capture the inflow, outflow and inventory of tickets across teams – This helped simplify the tracking of performance of multiple groups within the business
  • Developed a quality metrics scorecard to keep track of the health of the monthly project releases
  • Designed a framework to predict the number of defects to be expected from a project before its release – This enabled the client to optimize resources post release
  • Worked as lead in an in house project which involved defining problems across multiple verticals
  • Was awarded a ‘Spot Award’ for exceptional performance & team management skills
  • Worked with a leading global Technology vendor to understand its slowing business
  • Identified drivers behind their declining revenue in the Asia Pacific-Japan Tier III countries
Data AnalysisQuality MetricsData Science

Education

SPJIMR SP Jain Institute of Management & Research

PGDM — Finance

Jan 2015Jan 2017

Cornell Johnson Graduate School of Management

Global Fast Track

Jan 2016Jan 2016

IÉSEG School of Management

Student Exchange Program

Jan 2016Jan 2016

Sardar Patel Institute of Technology

Bachelor of Engineering (B.E.) — Electronics Engineering

Jan 2009Jan 2013

Ramniranjan Podar Senior Secondary School

Jan 2007Jan 2009

Lilavatibai Podar High School

Jan 1997Jan 2007

Stackforce found 100+ more professionals with Product Management & Digital Strategy

Explore similar profiles based on matching skills and experience