KUNDAN KUMAR

• LinkedIn • ad1mo8@r.postjobfree.com • GitHub • 313-***-****

EDUCATION

WAYNE STATE UNIVERSITY • Detroit, Michigan. Expected December 2024 Master of Science, Data Science & Business Analytics • Current GPA 3.67/4.0

• Relevant Coursework: Data Science & Analytics, Computing Platform for Data Science, Introduction to Machine Learning, Deep Learning, Statistical Learning for Data Science and Analytics, Decision Analysis & Simulation

Guru Gobind Singh Indraprastha University • New Delhi, India November 2020 Amity School of Engineering & Technology

Bachelor of Technology, Mechanical & Automation • GPA 3.36/4.0

• Relevant Coursework: Numerical Analysis & Statistical Techniques, Operations Research, Applied Mathematics, Fundamentals of Computing, Introduction to Programming (C++), Switching Theory & Logic Design

PROFESSIONAL EXPERIENCE

Big Data Research Lab, Wayne State University, Detroit, MI September 2023 -Current Graduate Research Assistant

• Utilized Python code to extract Google Analytics data via API for 5 domains, enabling research comparing first-party census data metrics with 3rd party census data. Created 2 live dashboards on PowerBi using HIVE/Snowflake, effectively monitoring trends and panel activity across multiple platforms like Mobile, Desktop, iOS, Android, etc.

• Collaborated with cross-functional teams and performed analyses using Pyspark and SQL on data retrieved from data in various forms (structured and unstructured data) to validate the accuracy of each data collection approach and investigated potential enhancements. DAPCEP (Detroit Area Pre-College Engineering Program), WSU, Detroit, MI May 2023 - August 2023 Python Instructor

• Executed the development and delivery of a comprehensive Python curriculum for pre-college students, resulting in remarkable 50% enhancement in coding proficiency and a significant 30% increase in students pursuing STEM fields in higher education. EVE HEALTHCARE CENTRES PRIVATE LIMITED, Delhi, India June 2022 - December 2022 Machine Learning Intern

• Directed and oversaw a Center of Excellence (CoE) engagement for a prominent pharmaceutical client's immunology product division. Successfully managed stakeholders and a dedicated team, executing 26 deliveries within a 7-month timeframe, achieving a remarkable satisfaction rate of 100%.

• Orchestrated a data-driven campaign optimization strategy for drug advertisements, resulting in a 40% increase in click-through rates and a 20% reduction in cost per acquisition for target HCPs.

• Excelled in a client-facing role, collaborating extensively with client business groups to uncover data-driven insights. Leveraged SQL Queries, SAS Procedures, Python, and predictive & descriptive analytics models to provide valuable solutions to clients.

• Implemented advanced data analysis techniques, including data munging, visualization, and transformation, resulting in a 40% improvement in data accuracy and actionable insights for strategic decision making.

ACADEMIC EXPERIENCE & PROJECTS

• Image Classification: Implement a comprehensive image classification pipeline using a pre-trained EfficientNetB3 model to classify different species of birds with an accuracy of 99% underscoring the effectiveness of transfer learning and fine-tuning techniques in complex image recognition tasks. (GitHub)

• Real Estate Analysis: Implemented XGB Regression model for Real Estate Analysis, achieving R-squared score of 0.780957, explaining 78.1% of the variance in housing prices, minimized prediction error to approximately 6.09 currency units per square floor with an RSE of 6.09142. (GitHub)

• Movie Recommendation System: Developed a movie recommendation system using Python, merging datasets to create a weighted ratings and popularity-based recommendation engine. (GitHub)

• Object Detection: Deliver a robust, user-friendly object detection solution, pushing the boundaries of real-time detection capabilities through the synergy of YOLOv8 and OpenCV and deploying on

‘Roboflow’. (Ongoing)

• Data Visualization Project: Created a Tableau dashboard to analyze and visualize data from 271,116 events across Olympic history, highlighting trends in athlete demographics, national participation, and medal tallies to convey the evolution of the Games. Link

• Reinforcement Learning Project: Our reinforcement learning agent mastered the OpenAI Gym's CartPole challenge by consistently balancing the pole for over 195 timesteps per episode, exceeding the benchmark for success and showcasing the potential of policy-gradient methods in control tasks. The agent's steady improvement was evidenced by a progressive reward plot, paving the way for advanced robotics applications. (ongoing)

• Exploratory Data Analysis Project: In the "Insightful Chronicles" project, we perform a comprehensive Exploratory Data Analysis (EDA) on a chronic disease dataset to uncover patterns, trends, and correlations within the data. This dataset encompasses a wide range of indicators related to chronic health conditions affecting the U.S. population. (ongoing) TECHNICAL SKILLS

• Languages & Databases: Python, C++, SQL, R, Scala, Pyspark, Unix, NoSQL, and MySQL

• Machine Learning Algorithms: Linear, Ridge, Lasso, Logistic Regression, K-NN, k-means clustering, Decision Tree, NLP, Hierarchical modeling, etc.

• Machine Learning Frameworks & others: PyTorch, TensorFlow, Keras, Numpy, Scipy, Matplotlib, SciKit, Computer Vision, Roboflow, NLP, OpenCV, Yolov5 & Yolov8, GitLab CI/CD pipelines

• Statistical Concepts: Bayesian Statistics, Multivariate Analysis, Univariate Analysis, Factor Analysis, Sentiment Analysis, Predictive Analysis, Text Analysis, etc.

• ETL Tools: Informatica PowerCenter, Informatica Cloud

• Cloud Competencies: AWS, and GCP

• Analytics Framework & Tools: Tableau, PowerBI, SAS (Base & Enterprise guide), Zeppelin, Google Analytics, Sage maker, Docker, Jupyter Notebook, Apache Hadoop, Apache Hadoop & Spark

• Other Tools: CA Workload Automation (ESP Cybermation), Postman for API, Workbench, Salesforce CRM – Veeva CERTIFICATIONS & ACCOMPLISHMENTS

• Signal Processing and Machine Learning Trends, November 2021 AICTE Training and Learning (ATAL) Academy Issued Nov 2021Credential ID ATAL/2021/163*******

• Pinnacle Competitive Classes Private Limited, New Delhi, India. (January 2021- December 2021) Senior Mathematics Faculty Teacher (Joint Entrance Exam, Mains & Advance)

• IIT SQUARE, New Delhi, India (August 2017 – December 2020) Startup founder, Director & mathematics faculty (Joint Entrance Exam, Mains & Advance)

• Delhi Police Department, New Delhi, India, January 2021 Volunteer Staff-Disaster and Humanitarian Relief- COVID RELIEF

• Student Assistant at Housing and Residential Life, Wayne State University, (January 2023- March 2023)

• Data Structure & Algorithm by Udemy 2023

• Machine Learning Introduction by IBM, Coursera 2023

• Deep Learning Specialization: online by deeplearning.ai, Coursera 2023

• GPT-4 Foundations: Building AI-Powered Apps by LinkedIn Learning 2023

• Object Tracking and Motion Detection with Computer Vision by MathWorks, Coursera 2023

• Data Visualization with Tableau Specialization by University of California Davis, Coursera 2023

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