Arpan Tyagi

Data Scientist

Hyderabad, Telangana, India10 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 8 years of experience in Data Science.
Expert in machine learning and data analytics.
Proven track record in fraud prevention and data-driven decision making.

Stackforce AI infers this person is a Data Scientist specializing in SaaS and Healthcare analytics.

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Skills

Core Skills

Data ScienceMachine LearningBusiness ConsultingData Analysis

Other Skills

Anomaly DetectionData Pipeline DesignExperimental AnalysisCross-functional CollaborationDashboard CreationEconometric ModelingPredictive ModelingForecastingA/B TestingPropensity ModelingTeam LeadershipData WarehousingMicrosoft ExcelSASTableau

About

As a seasoned Data Scientist with over 8 years of experience, I specialize in driving impactful business solutions through advanced analytics and AI. With a robust foundation in data strategy, analytics, and consulting, I am passionate about harnessing the power of machine learning and data science to optimize processes, enhance decision-making, and deliver measurable business outcomes. Throughout my career, I have successfully led end-to-end data science projects, from defining business problems to deploying actionable solutions. I excel at translating complex data into clear insights and strategic recommendations, collaborating closely with stakeholders to ensure alignment with business objectives. I’m also skilled in visual storytelling, using data visualizations to present insights in an intuitive and impactful manner. Currently, I am focused on combating fraud and abuse at Google, applying advanced machine learning techniques to detect, prevent, and mitigate fraudulent activities. My work involves developing models for anomaly detection, risk assessment, and predictive analytics, leveraging large-scale data to enhance security measures and improve user trust. Through continuous innovation, I help build resilient systems that safeguard against emerging threats and protect both users and the business.

Experience

10 yrs 9 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 7 mos

Current Experience

Google

Senior Data Analyst, Payments, Trust and Safety

Oct 2021 – Present · 4 yrs 7 mos · Hyderabad, Telangana, India

Led fraud prevention for Google Enterprise products, focusing on fraud vectors like unusual signups, payment fraud, and account hijacking. Developed machine learning models to detect and mitigate fraudulent activities across large-scale datasets.
Reduced fraud by xx% by building an end-to-end anomaly detection system for Google Cloud signups using Isolation Forest.
Contributed to the successful launch of Netbanking and UPI payments on GCP in India, driving xx% product growth through experimental analysis and cross-functional collaboration.
Spearheaded the design of a comprehensive data pipeline for tracking key metrics in Google Workspace, creating an interactive dashboard to monitor performance trends, detect anomalies, and drive data-driven decisions.

Machine LearningAnomaly DetectionData AnalysisData Pipeline DesignData Science

Axtria - ingenious insights

4 roles

Project Lead

Apr 2021 – Oct 2021 · 6 mos

Senior Business Associate

Promoted

Apr 2019 – Mar 2021 · 1 yr 11 mos

NPP ROI evaluation: Strategized and optimized the budget for Non-Personal promotion/digital channels after analyzing their impact by building econometric time series models.
Access the impact of COVID-19: Developed multi-channel ML-based predictive models in Python to analyze the changes in physician-patient interactions and reduction in promotion effectiveness in the COVID-19 period.
Developed physician targeting, segmentation and call plan for launch oncology and rare disease products leveraging a variety of data sources including patient level claims data.

Econometric ModelingPredictive ModelingData AnalysisData Science

Business Associate

Promoted

Apr 2017 – Mar 2019 · 1 yr 11 mos

Short Term Forecasting: Configured a model to account for identified causes and other potential drivers that exhibits more accurate prediction in short term (4-12 Weeks).
Test and Control analysis: Helped the client to estimate the lift, ROI, and effectiveness of a digital campaign on sales generated using test and control approach (similar to A/B testing).
Propensity modelling: Conducted a physician look-alike analysis for a client to evaluate a physicians’ propensity (through adaptability scores) to write the product using logistic regression and random forest model in R

ForecastingA/B TestingPropensity ModelingData Analysis

Analyst

Jun 2016 – Mar 2017 · 9 mos

Leveraged analytical tools such as Tableau/AWS to identify positive/negative trends in the data and thereby assisted client in determining how the pharma drugs were performing from a commercial aspect.
Gathered data from different sources and identified key KPI impacting business, created dashboards to track them over time.

Data AnalysisDashboard Creation