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Priyansh Mahajan

@priyanshmahajan

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Data Scientist with expertise in Investment Sector, Fraud Risk Analytics, and Business Intelligence.

India

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What I'm looking for

I am seeking a dynamic role that allows me to leverage my skills in data science, business intelligence, and market research to drive impactful business strategies. I am particularly inclined towards opportunities that offer remote work, enabling flexibility while contributing to innovative and data-driven projects in a collaborative environment.

Experienced Data Scientist with a strong background in the investment sector, specializing in Business Intelligence, Fraud Risk Analytics, and Market Research. I have a proven track record of delivering data-driven insights that enhance business strategies, drive revenue growth, and improve client satisfaction. With expertise in cloud computing, data modeling, and cross-functional collaboration, I aim to empower businesses with actionable insights and innovative solutions.

Experience

Work history, roles, and key accomplishments

Current

Manager - Data Scientist

Current

Kotak Securities

Mar 2024 - Present (1 year 3 months)

At Kotak Securities, I improved market share and revenue by analyzing financial trends, retaining $3.5M. Developed customer segmentation models and optimized financial products. Conducted market analysis, reducing revenue loss by 25% and saved $5K/month through cross-departmental collaboration. Applied KNN to identify trading trends and provided monthly reports to boost market volume and brokerage

Communication Skills Python SQL Data Analysis Machine Learning

Deputy Manager - Associate Data Scientist

Piramal Capital & Housing Finance Limited

Jul 2022 - Mar 2024 (1 year 8 months)

Led a team at Piramal Capital, optimizing workflows and fostering a positive culture. Oversaw the creation of a robust fraud detection model and used data-driven insights for strategic decisions, identifying a 20% growth potential. Designed and managed real-time Power BI dashboards, collaborated across teams on tech products, and developed fraud detection models using XGBoost, NLP, and CNN.