Ayush Kumar

Dynamic data enthusiast with hands-on experience at ABB CRC, specializing in developing collaborative learning frameworks. Proficient in TensorFlow, with strong competencies in machine learning and data visualization, driving impactful insights in resource-constrained settings. Committed to leveraging technology for innovative solutions that enhance operational efficiency.

• Meta Database Engineer Professional Certificate, Coursera
• Applied Data Science Lab, WorldQuant University
• Google Data Analytics Professional Certificate, Coursera
• SQL Advanced, HackerRank

Market Forecasting in India, WQU

• Retrieved and processed market data from a web API using HTTP requests, transforming and loading data into a SQL database with custom Python classes
• Calculated asset volatility, developed a GARCH model for prediction, and built a web API and server to serve the model's predictions

A|B Testing at World Quant University, WQU

• Developed a choropleth map to visualize the global distribution of ADSL students, and created a custom Python class to implement ETL processes
• Designed an experiment, analyzed results using a chi-square test, and built an interactive web application with a three-tiered architecture

Customer Segmentation in the US, WQU

• Conducted complex exploratory data analysis on large datasets, comparing subpopulations with side-by-side bar charts, and applied unsupervised learning by building a k-means model, and performing feature selection based on variance
• Reduced high-dimensional data using Principal Component Analysis, and designed, built, and deployed a Dash web application for customer segmentation

Meta Database Engineer Professional Certificate Capstone Project, Coursera

• Designed the conceptual model and ER diagram using MySQL Workbench
• Created the database and developed various stored procedures for different functionalities
• Built a Tableau dashboard to visualize data and gain insights as part of the Meta Database Engineer Professional Certificate project

BCG Data Science Job Simulation, Forage

• Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills, identifying essential client data, and outlining a strategic investigation approach
• Conducted efficient data analysis using Python, including Pandas and NumPy, and employed data visualization techniques for insightful trend interpretation
• Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn
• Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis

Quantium Data Analytics Job Simulation, Forage

• Completed a job simulation focused on data analytics and commercial insights for the data science team
• Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights, and deliver data-driven commercial recommendations
• Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making
• Leveraged acquired data analytics and insights from previous tasks to create comprehensive reports for the Category Manager, facilitating informed strategic decisions, and enhancing commercial applications

• Passionate about chess
• Passion for gaming, particularly enjoying sports, and combat games

• SQL Advanced Certification at HackerRank
• Qualified for GATE 2023 CS with a GATE score of 513