Sandeep Pandey

As an accomplished data scientist with four years of experience, I excel in natural language processing, computer vision, time series forecasting, predictive modeling, and statistical analysis. My proficiency in Python, SQL, and big data technologies enables me to implement data-driven solutions that drive business success. I have a proven track record of delivering innovative solutions that have resulted in a substantial 30% reduction in operational costs.

I am a Senior Data Scientist based in Canada with over four years of experience in building AI-powered solutions. My skillset includes proficiency in Python, Natural Language Processing, Computer Vision, Time Series Forecasting, Predictive Modeling, and Statistical Analysis. I also take interest in designing interactive dashboards and am proficient at generating and visualizing insightful data.

At Digitap Ai, I developed a credit risk scorecard utilizing advanced machine learning algorithms which significantly improved accuracy to 87% and reduced financial risk costs by 15%. I also successfully implemented an Alternate Scoring Model based on XGBoost, which increased precision in identifying potentially fraudulent customers to 92%.

During my tenure at Morgan Stanley, I automated 96% of the lending team's manual tasks using machine learning techniques like LayoutLM, Azure OCR, and Pytesseract. This substantially improved the efficiency of loan document processing. I also facilitated the deployment of Label Studio on our server infrastructure, which reduced human effort in document labeling by 80%. In addition, I developed a machine learning model for automated invoice processing, which resulted in a 90% reduction in workload for the business team.

At HDFC Life, I achieved a 95% accuracy rate on the Life toolkit by creating a robust machine learning model for document validation. I also developed and deployed a high-precision Lie Detector model that achieved 91% accuracy, aiding the Medical Underwriter team in assessing the veracity of statements in customer's Video Medical Examination Reports. I engineered an advanced automation bot, which led to a 90% reduction in manual labor for the team. Lastly, I designed a Qlik Sense dashboard for loan processing tasks, providing real-time insights into key lending indicators and enhancing strategic decision-making and operational efficiency.

I hold a Bachelor's degree and a Diploma in Software Engineering, both from Mumbai University, India, which I obtained in 2019 and 2016 respectively. Most recently, in 2023, I completed a course in Reporting Systems and Database Development at Conestoga, based in Kitchener-Downtown, with a high GPA of 3.66.