Atharva Mangrulkar

Data Scientist

Bengaluru, Karnataka, India6 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in driving data science initiatives.
Proven leadership in analytics and data engineering.
Passionate about wildlife photography and conservation.

Stackforce AI infers this person is a Data Science and Analytics expert in the Fintech and Telecom industries.

Contact

apmangrulkar15@gmail.com LinkedIn

Skills

Core Skills

Risk AnalyticsData AnalyticsLeadershipSupply Chain OptimizationData EngineeringAzure Data Factory

Other Skills

PythonNumPyPandasGurobi solverAzure Cloud ServicesPower BIPowerAppsGenerative AIMachine LearningData VisualizationSQLTime Series ForecastingSupervised LearningUnsupervised LearningReinforcement Learning

About

I bridge the worlds of Business, Math and Technology to design impactful analytical solutions for the Seller Risk Management team at one of the world's largest FinTech organizations. As a versatile and proactive analytics professional with ~6 years of experience, I excel in driving high-impact data science and engineering initiatives. My approach to problem-solving is rooted in proactivity and innovation, enabling the development of scalable, data-driven solutions. Technical Proficiencies: Statistical Modeling, Machine Learning, GenAI, Dashboarding, Data Engineering using Cloud Computing I am a collaborative team player with a strong track record of leadership, characterized by creativity and initiative. I thrive on fostering motivation, efficiency, and impact, and I am dedicated to establishing sustainable practices and building robust frameworks within my team. Hailing from the Tiger Capital of India, I’ve nurtured a deep passion for wildlife photography and conservation. Bird watching is a cherished hobby, and I actively participate in environmental conservation efforts. Guided by the philosophy of making my presence meaningful, I strive to create value and leave a lasting impact in every endeavor. Mail me at- apmangrulkar15@gmail.com Check out my wildlife photo gallery- instagram.com/seyelens

Experience

6 yrs 8 mos

Total Experience

3 yrs 4 mos

Average Tenure

3 yrs 9 mos

Current Experience

Paypal

2 roles

Senior Data Scientist

Jun 2025 – Present · 1 yr

Data Scientist - Global Seller Risk

Sep 2022 – Jun 2025 · 2 yrs 9 mos

Core member of PayPal's Global Seller Risk team, driving data-driven strategies to manage fraud and credit risk across diverse product lines. I specialize in analyzing seller behavior and transaction patterns to build scalable models and mitigation frameworks that minimize losses while enhancing trust and user experience on the platform.

Risk AnalyticsData Analytics

Mu sigma inc.

3 roles

Apprentice Leader

Jun 2022 – Aug 2022 · 2 mos · Bengaluru, Karnataka, India

Thought leadership to lead a team of Decision Scientists and design sustainable analytical frameworks for supply chain optimization.

LeadershipData Analytics

Decision Scientist

Promoted

Apr 2021 – May 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India

Leading a team to architect data science and analytics solutions to help US healthcare giant in identifying and optimizing Supply Chain processes in fast changing and demanding situations. Working with multiple stake holders and executives to build strategy, define achievable goals and solve problems across verticals in Supply Chain.
Learned and leveraged Operation Research techniques to optimize planning for manufacturing schedule using Python -PuLP, NumPy, Pandas, Gurobi solver
Mixed Integer Programming to maximize and minimize different objective functions to come up with improved schedule which will help achieve more volume and save time for planners
Predictive analytics to identify significant factors affecting Overall Equipment Effectiveness
Building scalable KPI repository using cloud infrastructure for executives to identify historical and live trends in manufacturing processes to take better decisions
Smart automated scripting in Python and using pipelining solutions to reduce redundancy of maintaining data in flat files and KPI calculations using tools like power automate, logic apps, Azure data factory
Enthusiast to understand data using statistical analysis and blend with visualizations to understand how data is distributed across different attributes. Apply ML algorithms – supervised and unsupervised to solve business use cases and build sustainable data science solutions.

Data AnalyticsSupply Chain Optimization

Trainee Decision Scientist

Jun 2019 – Apr 2021 · 1 yr 10 mos · Bengaluru, Karnataka, India

Working with US Telecom giant to build large scale Data Engineering solutions and analyze engineering data to identify bottlenecks in ETL process with an impact of quarter-million dollars.
Data Engineering using Azure Cloud Services – Data Factory, Synapse Analytics, Databricks, Blob Storage, SQL Database, DevOps, Logic Apps, Key vault
Handled dashboarding and front end tools like Power BI and PowerApps with strong understanding of coupling between Microsoft Power suite
Gauged an understanding of 15+ ETL processes to identify frequent breakdowns and reduce resolution SLA in R
Analyzed DevOps Telemetry data to build actionable insights about CICD process followed by 10+ Engineering teams
Built audit solutions to cater to CCPA law using data warehousing concepts
Deep understanding of Agile methodology and JIRA as sprint planning tool

Data EngineeringAzure Data Factory