Priyansh Mahajan

AI Researcher

Mumbai, Maharashtra, India4 yrs 6 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in fraud analytics and machine learning.
  • Developed predictive models improving decision-making by 25%.
  • Automated processes, enhancing efficiency by 67%.
Stackforce AI infers this person is a Fintech Data Scientist specializing in fraud analytics and machine learning.

Contact

Skills

Core Skills

Machine LearningFraud AnalysisData VisualizationBusiness InsightsData AnalysisGoogle Cloud Platform (gcp)Business Analysis

Other Skills

Amazon Web Services (AWS)Analytical SkillsAutomationBeautiful SoupBlenderBusiness LeadCommunicationCredit Risk ManagementCritical ThinkingData EntryData ModelingDigital MarketingDocAIDocumentationETL

About

Driven Data Scientist | Expert in Fraud Analytics and Machine Learning With a passion for unraveling the power of data, I specialize in fraud analytics, business intelligence, and machine learning to drive business growth. Developed predictive models that provided actionable insights, helping organizations optimize financial products and improve decision-making processes. Throughout my career, I’ve leveraged data-driven strategies to combat fraud, reduce inefficiencies, and unlock new opportunities. Constantly evolving in the world of data science, I am committed to delivering impactful solutions in a rapidly changing environment. Let’s collaborate to turn data into meaningful business outcomes.

Experience

Kotak securities

Manager - Data Scientist

Mar 2024Present · 2 yrs · Mumbai, Maharashtra, India · On-site

  • Developed predictive models (EMA, ARIMA, SARIMA) to forecast brokerage trends, improving stakeholder decision-making
  • by 25%.
  • Enhanced MTF product usage by 12% through data-driven insights and market trend analysis in offline vertical.
  • Developed advanced customer segmentation models based on purchasing behavior analysis, enhancing personalization efforts that resulted in a 25% increase in customer engagement and a notable rise in repeat purchases.
  • Led cross-functional collaboration, saving $5K per month in business tool costs.
  • Delivered key financial market insights, leading to a 10% increase in market share and retaining $3.5M in revenue.
  • Leveraged KNN models to deliver personalized investment recommendations, achieving a 40% enhancement in understanding
  • customer investment preferences by age. This data-driven approach allowed for tailored financial strategies that improved
  • client engagement and satisfaction.
  • Automated the process for generating PowerPoint presentations, reducing creation time from 3 days to just 1 day. This
  • automation significantly accelerated insights generation and decision-making, enhancing overall monthly efficiency by 67%
ModelingGenerative AIFraud AnalysisBusiness InsightsCommunicationProblem Solving+44

Piramal capital & housing finance limited

2 roles

Deputy Manager - Associate Data Scientist

Promoted

Jul 2023Mar 2024 · 8 mos · Mumbai, Maharashtra, India

  • Led a team in developing fraud detection models using XGBoost, achieving a 30% increase in fraud prevention accuracy.
  • Designed Power BI dashboards to visualize real-time fraud data, improving decision-making efficiency by 40%.
  • Co-developed a CNN model for face verification, enhancing security protocols with a 92% accuracy.
  • Collaborated with engineering teams to streamline data pipelines and improve fraud detection systems.
  • Employed NLP for topic modeling to extract document details, streamlining the expense recording process and reducing time
  • spent by 50%. This efficiency supported fraud sampling for both internal staff and foreign agents for the stakeholders.
Risk ModelingCommunicationProblem SolvingMachine LearningBusiness InsightsCritical Thinking+5

Graduate Engineering Trainee - Data Scientist

Jul 2022Jul 2023 · 1 yr · Mumbai, Maharashtra, India

  • Fraud Detection Team.
  • Found solutions to reduce the loan reject rate from 6.2% to 3% by keep the constant average fraud rate at 6% using exploratory analytics, descriptive analytics and business understanding.
  • Developed a data visualization dashboard to keep the updates on fraud data in the loan with use of power bi, database and Microsoft excel help relate analytics and business.
  • Developed an analysis for fraud scoring.
  • Developed another dashboard for the Fraud Control Unit using PowerBI with row level security for each user in the Fraud Control Unit and other departments hence saving the sensitive data and time.
  • Made network visualizations for different account statements to entities.
  • Finding out abnormalities in the bank statements.
  • Developed NLP for topic modeling and CNN model for Face Verification. Made network visualizations for
  • different account statements to entities.
  • Created rules for acceptance of loans.
  • Data analysis for fraud rules triggers.
SQLRisk ModelingBusiness AnalysisData ModelingCommunicationProblem Solving+18

Springml, inc.

Consultant Data Engineer

Jan 2022Jul 2022 · 6 mos · Hyderabad, Telangana, India

  • Explored different features of Google Cloud Platform.
  • Studied and applied security measures in Google Could Platform.
  • Worked on features like DocAI, Big data, DataFlow, Vision, AutoML etc. to increase results and reduce time.
  • Carried out day-to-day duties accurately and efficiently.
  • Collaborated with team members to achieve target results.
  • Identified issues, analyzed information and provided solutions to problems.
  • Used critical thinking to break down problems, evaluate solutions and make decisions.
TestingProblem SolvingGoogle Cloud Platform (GCP)Critical ThinkingDocAIPython (Programming Language)

Therightdoctors

Business Analyst

Aug 2021Dec 2021 · 4 mos · Hyderabad, Telangana, India

  • Analyzing the recruitment testing process which took 6hr of manual testing for all job openings.
  • Automate Testing of Recruitment Process which reduced from 6hr to 2hr. Hence saving the business time by 66.7%.
  • Online Research for email subject lines which increased the clicked emails by 23%.
  • Online Research for Autoresponder Lines to get more responses from the reaches.
  • Searching data online for leads using manual searching as well as scraping to generate additional leads in Zoho CRM.
  • Analyzing and Documenting Zoho Recruit for the organization hence saving time for the new joinees understand the working and functionality of the organization quickly.
CommunicationProblem SolvingHuman Resources (HR)Business InsightsSoftware DevelopmentCritical Thinking+10

Globalshala

Intern at Globalshala

Aug 2021Aug 2021 · 0 mo · Gurugram, Haryana, India

  • Entering the students data from their pdf and jpeg marksheet into the system.
Problem SolvingData Entry

Classplus

Student Ambassador

Nov 2020Dec 2020 · 1 mo · Noida, Uttar Pradesh, India

  • Marketing team for the Classplus to help teacher as well as coaching classes get an online identity.
Problem SolvingSocial Media MarketingCritical ThinkingSales OperationsSales & MarketingDigital Marketing

Muskurahat foundation

Fundraiser

Nov 2020Nov 2020 · 0 mo · Mumbai, Maharashtra, India

  • Fundraising for Project KEYtaab that aims at providing the underprivileged children from shelter homes and orphanages with the holistic development that they lack.
Problem SolvingCritical Thinking

The global education & leadership foundation (tgelf)

Technical Team Member

Oct 2020Dec 2020 · 2 mos · Gurugram, Haryana, India

  • Volunteer work in the technical field by managing and analyzing data for the ESG (Entrepreneurship Sports Generation) 2020 organized by The Global Education & Leadership Foundation as data analyst.
Problem SolvingCritical Thinking

Education

Vellore Institute of Technology

Bachelor of Technology - BTech — Computer Science

Jul 2018May 2022

Sacred Heart Senior Secondary School - India

Higher Secondary Education

Apr 2015May 2017

Little World School

Secondary Education

Apr 2013May 2015

Codegnan IT Solutions

Online Study

Jan 2020Jan 2020

Kaggle

Data Science

Jan 2020Jan 2020

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