Diganta Dey

Co-Founder

Bengaluru, Karnataka, India10 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Led initiatives reducing costs by 30% at ShareChat.
Crafted defenses against fraud at Toast.
Founded fileoptimize.com to enhance web efficiency.

Stackforce AI infers this person is a Data Analyst with expertise in Fraud Prevention and Risk Management in the Fintech sector.

Contact

Skills

Core Skills

Data AnalyticsRisk AnalyticsTraining DeliveryProduct AnalyticsData VisualizationQuality AssuranceFraud AnalysisProduct Development

Other Skills

Analytical SkillsAnalyticsContinuous ImprovementCredit Risk Modeling ToolsCross-functional Team LeadershipDAXData AnalysisE-commerceEntrepreneurship DevelopmentGoogle BigQueryGoogle Cloud Platform (GCP)HTMLHexHiveHiveQL

About

🌟 Diganta Dey | Data Wizard | Innovator | Tech Enthusiast Hello! I'm Diganta, navigating the data-driven landscapes of Amazon, Flipkart, ShareChat, and now, Toast. At ShareChat, I spearheaded analytics to slash costs by 30% and elevate content integrity. Today, as Toast's Lead Fraud and Risk Data Analyst, I'm at the forefront of crafting robust defenses against fraud, ensuring transactional integrity and trust. Beyond the datasets, I launched fileoptimize.com, a venture to accelerate the web. It's my humble contribution towards a more efficient digital experience, showcasing that innovation can start with a single line of code. Let's Connect! If you're passionate about leveraging data for security, intrigued by tech innovation, or interested in making the digital realm more accessible, I'm eager to explore collaborative opportunities and share insights.

Experience

Toast

Lead Data Analyst, Fraud and Risk

May 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

PythonData AnalyticsCredit Risk Modeling ToolsCross-functional Team LeadershipAnalytical SkillsAnalytics+5

Able

Technical Trainer

May 2023 – May 2024 · 1 yr · Remote

PythonData AnalyticsTableauSQLTraining DeliveryData Visualization

Sharechat

Senior Product Analyst

Mar 2022 – Aug 2023 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

PythonProduct DevelopmentData AnalyticsRoot Cause AnalysisRedashPandas (Software)+10

Flipkart

Senior Data Analyst

Oct 2021 – Mar 2022 · 5 mos · Bangalore Urban, Karnataka, India

Automated Integrated Sales Report (ISR) using google app script and pulled the data from Hadoop
cluster using HiveQL and set up auto-mailer to send report to leadership on daily basis
Analyzed Flipkart traffic data from different platforms using Adobe analytics (Omniture) for Flipkart
events
Worked on Flipkart Grocery spillage to optimize capacity for Flipkart FCs

PythonData AnalyticsAnalytical SkillsSQLHiveData Visualization

Grail insights

2 roles

Analyst

Jan 2021 – Oct 2021 · 9 mos · Bangalore Urban, Karnataka, India

Working as a QA (Quality Assurance) for the largest social media client
Responsible for quality checking of work of production analysts and QCs working on KYC, Transaction Monitoring Fraud, AML, Sanctions, PEP, Identity Verification etc.
Subject matter expert in Sanctions, AML, Due Diligence, ID Verification, Politically Exposed Persons
Responsible for root cause analysis and calibration with SME and QC to reduce errors
Responsible for creating weekly, monthly reports of other vendors and providing insights to improve overall quality of their work
Responsible for creating Monthly Business Report (MBR) for QA team
Responsible for creating, maintaining and updating quality dashboard using Power BI
Working on MS Access SQL, SharePoint to pull data required to provide meaningful insights
Involved in mentoring other analysts

Data AnalyticsAnalytical SkillsSQLData VisualizationQuality Assurance

Management Trainee - Research Services

Jun 2020 – Jan 2021 · 7 mos · Bangalore Urban, Karnataka, India

Data AnalyticsAnalytical SkillsData Visualization

Career break

Health and well-being

Jul 2019 – Jun 2020 · 11 mos · Bengaluru, Karnataka

Amazon

Transaction Risk Investigator

Oct 2017 – Jun 2019 · 1 yr 8 mos · Bengaluru Area, India

Analyzed fraud patterns missed by the system and saved more than 10,000 dollars of the company, other
than meeting day to day metrics
Written SQL queries for system missed fraudulent patterns
Prevented money laundering by identifying fraudulent sellers
Prepared internal SARs to report to FinCEN
Prepared and reported SARs to NCA UK
Led a project to reduce defect rates of the investigators in Tableau in collaboration with the program
managers of Amazon Payments which reduced team defect rate from 2.8% to 0.98%
Was responsible to make day to day shrinkage report of the team and report that to the manager which
helped the team to maintain shrinkage report below 8%
Worked with developers to help them to create a dashboard for the team to see investigators' realtime
metrics which helped the team to increase their productivity by 12%
Conducted various team building activities to increase team bonding
Conducted huddles to improve customer experience and to minimize bad customer impact
Trained a batch of 6 investigators