DAVINDERJIT KAUR

With over 8 years of experience in data-driven financial consulting and have seamlessly integrated analytics into decision-making of processes in equity, derivatives, currency, commodities, mutual funds, and insurance. Proven ability to collaborate cross-functionally and tailor solutions to customers' risk appetite, leveraging strong technical competencies in Python, Power BI, SQL, Tableau, supported by certifications in Machine Learning, Python data analysis, and SQL for Data Analysis. I am enthusiastic about applying skills and experience to contribute effectively to company tasks and showcase passion for delivering high-quality work.

• Machine Learning with Python: Foundations
• Python data analysis
• SQL for Data Analysis
• R for Data Science: Analysis and Visualization
• Data Science with R (Certificate)
• NLP with Python for Machine Learning Essential Training, Data Science with R (Certificate)
• ETL in Python and SQL

• Consistently achieved an excellent rating for yearly performance at ICICI Securities Ltd.
• Won the Margin trading facility portfolio contest, prime contest, systematic equity plan contest, and sovereign gold bonds contest at ICICI Securities Ltd.

• Application of Predictive Analytics for Sales of Cosmetic Clinic (2024), Conducted predictive analytics for a cosmetic clinic, utilizing data-driven insights to forecast customer preferences and behavior. Implemented targeted marketing strategies based on the analysis, resulting in a substantial increase in sales by proactively meeting client needs and enhancing overall customer satisfaction.
• Real-Time Data Analysis of an ecommerce website (2024), Implemented a comprehensive sales enhancement project for skincare products, leveraging Google Analytics, SEO, and strategic marketing initiatives to optimize online visibility and drive increased product sales. Successfully utilized data-driven insights and targeted strategies for measurable improvements in the skincare product market.
• NYSE (2023), Developed a Streamlit page in 2023 for the New York Stock Exchange (NYSE), enabling efficient retrieval of both technical and fundamental analysis of stocks, enhancing data-driven decision-making processes.
• Insurance Price variation (2023), Spearheaded the development of a comprehensive healthcare charges database, utilizing advanced analytics to examine the impact of variables on pricing; identified trends and patterns to optimize healthcare and insurance strategies, resulting in increased revenue and cost savings.
• IDBI Bank's Loan Defaulter Case Study (2017), Conducted a comprehensive case study for IDBI Bank, leveraging SAS software to analyze loan default patterns. My analysis identified critical risk factors and delivered actionable insights, paving the way for the implementation of proactive measures to significantly reduce instances of loan defaults.
• Call Centre Data Project (2017), Comprehensive Call Centre Data Project, employing advanced analytics to analyze call center data. Through meticulous examination, I identified key customer trends and formulated strategic recommendations aimed at improving overall customer satisfaction.