https://www.kaggle.com/harbhajansingh21

➤ Providing mentorship to graduate and undergraduate students in the field of Data Science and AI.

➤ Collaborated with reporting and analytics team at a leading global investment bank and financial services firm (Credit-Suisse) to construct and deploy data-driven solutions using programming languages like Python, SQL, and other tools & software.➤ Designed and accomplished metadata pipelines to efficiently store and process large datasets, empowering data scientists to formulate predictive models and forecasts for customer queries and solutions.➤ Led & managed value-added projects, including the development of a rule-based Chatbot by utilizing NLP techniques and the creation of two innovative products i.e. SQL checklist matching and JIRA monitoring, and achieved high accuracy and efficiency.➤ Applied a range of tools and technologies including Tableau, DataLake, and Azure Clouds to perform exploratory data analysis, feature engineering, and model training and evaluation for a variety of business use cases.➤ Applied Time Series forecasting to predict the number of requests and reports raised and requested by users & customers.➤ Leveraged AI and ML to produce reports, resulting in an 85% reduction in manual efforts for business analysts and customers.➤ Enhanced and optimized data processing and data modeling workflows to ensure maximum efficiency (increased efficiency by 90%) and accuracy while working alongside cross-functional teams to propel business outcomes and solve complex problems.

➤ Developed and executed computer vision algorithms for image processing, object detection, object tracking, and anomaly detection leveraging camera feeds.➤ Implemented a Face AI application predicting wrinkles, dark circles, age, skin glow, and dark spots on human faces and achieved accuracy up to 93.50%.➤ Deployed 7 web-based Artificial Intelligence and Machine Learning applications on the Heroku server.➤ Led end-to-end deployment of deep learning models on cloud platforms, specifically on Azure and Google Cloud.

➤ Produced reports with the help of SQL Server, MySQL, Talend, and created dashboards to visualize data for healthcare and manufacturing clients based on specific requirements.➤ Proposed and contributed to two value-added projects, including a customer retention program in e-commerce and a web-based duplicate checker tool.➤ Leveraged advanced machine learning and statistical techniques to design and evaluate algorithms for improving model performance, quality, and accuracy up to 96.25%.➤ Worked on SQL Server (SSMS) and MySQL to prepare data for Tableau & Power BI dashboards and wrote SQL Query & SP for the client's business rules & requirements.➤ Utilized MLFlow for model serving and monitoring on Databricks, ensuring robust performance and reliability of machine learning models in production environments.➤ Worked on Talend ETL tool to extract client's data by using APIs, transformed and loaded into databases.

➤ Implemented and optimized traditional machine learning algorithms (e.g., Random Forest, SVM, KNN) for image classification tasks, improving model accuracy by 15% and reducing processing time by 30%.➤ Developed a computer vision pipeline using OpenCV and TensorFlow for real-time object detection, achieving 90% accuracy on a custom dataset of 10,000 images.➤ Collaborated on feature engineering and selection processes, utilizing statistical techniques and domain knowledge to enhance model performance for predictive maintenance applications.

➤ Developed and implemented machine learning models using Python and scikit-learn, resulting in a 20% improvement in predictive accuracy for customer churn analysis.➤ Collaborated with cross-functional teams to clean, preprocess, and analyze large datasets using SQL and Pandas, contributing to data-driven decision-making processes.➤ Assisted in creating and maintaining interactive data visualizations using Tableau, effectively communicating complex insights to non-technical stakeholders.

• Conducted ETL operations to extract and transform market data from various sources, including LinkedIn, through iMacros and Python to support the LinkedIn campaigns.• Utilized Python and SQL (Relational Database) to analyze and clean data and worked alongside diverse teams to generate reports, including predictive analytics to forecast sales and enhance profitability for client’s e-commerce business.

➤ As a Student Ambassadors, I helped in spreading the word about Cognizance and expand the outreach to every region of the country.➤ Member of the Student Partnership Programme (SPP) of IIT-Roorkee.