Satyajeet Sen
@satyajeetsen
Experienced Data Scientist with a passion for predictive analytics.
What I'm looking for
I am a highly skilled Data Scientist with over 5 years of experience in the retail banking analytics domain. My expertise lies in statistical analysis, exploratory data analysis, data visualization, and machine learning techniques, including natural language processing. I have a proven track record of developing predictive models and extracting actionable insights that drive data-driven decision-making.
Currently, I work at HSBC in Bangalore, where I manage machine learning and deep learning projects related to finance. I have successfully developed credit card and mortgage portfolio stress loss models and have presented my findings to senior executives. My strong communication skills and ability to collaborate with cross-functional teams have been key to my success in delivering comprehensive model documentation and mentoring junior team members.
Throughout my career, I have been recognized for my contributions, including being nominated for the Best New Joiner Award. I am committed to excellence and continuously seek opportunities to enhance my skills and contribute to innovative projects in data science.
Experience
Work history, roles, and key accomplishments
Manager, Finance P&A
HSBC
Oct 2022 - Present (2 years 8 months)
Developed Python and Excel-based stress loss models for Credit Card and Mortgages portfolios for CCAR, CECL, Investor Deck, and Budget Exercise. Forecasted complete Balance Sheet, PPNR, and P&L Line Items for Mortgages and Credit Cards.
Assistant Manager, Finance P&A
HSBC
Feb 2020 - Present (5 years 4 months)
Produced and presented Monthly Performance Reports, Business Drivers, and AOP plans for Credit Cards and Overdrafts to leadership. Developed Statistical Financial Models to forecast trends for Credit Cards and Overdrafts for both regular budget and stressed economic scenarios.
Intern, Risk Analytics
HSBC
Jun 2019 - Present (6 years)
Worked on different AML scenarios as part of a Risk Analytics internship. Gained practical experience in data analysis and risk assessment within a financial institution.
Education
Degrees, certifications, and relevant coursework
Maharishi University of Information Technology
Post Graduate Diploma, Data Science
Completed a Post Graduate Diploma in Data Science, gaining expertise in statistical analysis, machine learning, and deep learning techniques. Developed strong skills in Python, SQL, SAS, and Tableau for data analysis and model development.
Goenka College of Commerce and Business Administration
Bachelors of Commerce, Accountancy and Finance
Studied Accountancy and Finance, building a strong foundation in financial principles and business administration. Developed analytical skills applicable to various business contexts.
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Location
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