Delhi, India
I am a result-oriented professional, targeting opportunities as a Data Scientist in an organization of high repute to implement the acquired experiences and skills to keep growing. Expertise in identifying & developing innovative and out-of-the-box analytical solutions using suitable machine learning algorithms and statistical methods to achieve actionable insights and optimize business decisions. Skilled in Machine Learning, Deep Learning, and Predictive Analytics techniques such as Decision Tree, Neural Networks, Naïve Bayes classifiers, Logistic Regression, GLM, Time Series Forecasting, Clustering, and tools such as Python, PySpark, SPSS Modeler, SAS, R. Experience in facilitating/coaching team members by using interactive discussions and hands-on approaches to help members learn and apply new concepts while working.
● Implementing knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits. ● Functioning closely with the company to identify Fraud and solutions through different ML / AI models. ● Narrating Modelling of current data in a meaningful context, processes, and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits. ● Delivering reports and updates on a regular basis and driving productivity within a team by using Python, Sql, Tableau/Qlik and excel. ● Monitoring and doing analytics to all Fraud Models globally to maintain its performance. ● Developing forecasting models and ML framework to improve forecast and model accuracy by incorporating historical trends, new drivers and ongoing enhancement to models. ● Finding key insights for business by deep diving into the data using all statistical approaches e.g., Hypothesis testing in data analytics
• Implementing knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits • Functioning closely with the company to identify customer needs and demand • Narrating Modelling of current data in a meaningful context, processes, and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits • Evaluating results of analyses, identified trends and issues and developed recommendations to support business objectives • Performing validation and testing to confirm the accuracy of the information created • Focusing on multiple ML algorithms to improve predictions and help management understand the market • Operating on Time Series Forecasting to predict User engagement, sales, revenue, and Unique users • Functioning on Sales Analytics & Time Series Forecasting, Recommendation Engine
• Managed data modeling and business modeling and Academics • Performed data regression analyses of the relationship between company stock prices and industry trends, resulting in a 15% more accurate prediction of performance than the previous year • Implemented predictive analytics such as machine learning and data mining techniques to forecast company sales of new products with a 95% accuracy rate • Diagnosed back-end reporting issues for clients in SQL and Access Databases by running scripts and queries