Narendra
Pune, Pune Division, Maharashtra, India
Experience: 10 years
Open to: Full-Time
Education: Masters
Availability: Within 30 Days
Skills: Git, Jira, Jupyter Notebooks, Matplotlib, MSSQL, MySQL, NumPy, pandas, Python3, R, Tableau
Previously worked at: Fortune 500
Assessment Score: 100
- Experienced Risk and Analytics Consultant
Over 5 years of experience in risk and analytics, specializing in solving business problems for financial institutions by leveraging advanced analytics and machine learning techniques. Focused on building viable data-driven solutions to optimize business operations and decision-making. - Educational Background
Holds an Executive Program in Fintech, Banking & Applied Risk Management from IIM Lucknow (2022), an M.Sc. in Financial Economics from Madras School of Economics (2017), and a B.Tech. in Electrical Engineering from Veer Surendra Sai University of Technology (2014). - Extensive Experience in Financial Risk Analytics
Currently working as AVP in Operational Risk Stress Testing at Credit Suisse, where the candidate has developed automated reports and implemented regulatory models. Previously worked as Manager in Risk & Analytics at Ernst & Young, where significant projects include developing ECL calculators, Probability of Default models, and stress testing web applications. - Leadership and Team Management
Skilled in project and team management, client relations, and agile methodologies. Led a team of 3 members to develop stress testing web applications and managed projects that saved financial institutions significant operational costs. - Advanced Technical Skills in Data Science and Analytics
Proficient in machine learning, time series analysis, computer vision, and statistical modeling. Expertise in Python, R, Shiny, SQL, and cloud platforms like AWS, with hands-on experience in building predictive models and data visualizations using Power BI, Tableau, and other tools. - Notable Data Science Projects
Successfully completed several data science projects, including ship/vessel detection using CNN (achieving 1st rank in a competition) and HR analytics for business expansion. Also developed time series models for forecasting power consumption and predictive analytics for manpower recruitment.