Pankaj

Jersey City, New Jersey-***** Phone: +1-201-***-**** ad3rpm@r.postjobfree.com LinkedIn

EDUCATION

Stevens Institute of Technology, Hoboken, New Jersey May 2025 Master of Science in Data Science

Relevant Courses: Statistical Methods, Optimization for Data Science, Probability and Discrete Mathematics, Big Data Analytics PES University, Bangalore May 2019

Bachelor of Technology in Computer Science and Engineering TECHNICAL SKILLS

Programming Language: Python, R, Java, Groovy, C, HTML, CSS Software and Frameworks: Machine Learning, Tableau, PostgreSQL, Git, CI/CD(Jenkins), MongoDB, GCP, Microsoft Excel, EDA, Deep Learning, Data Engineering, TensorFlow, PySpark, Keras, Agile Development, Analysis Tool, Data Analysis, Data Dictionary, Data Quality, Database System, NoSQL, RDBMS

Soft Skills: Collaborate, Dependability, Innovation, Leadership, Writing, Supervising, Motivate, Discipline, Reporting, Deadline Driven, Mentoring, Participating, Solving, Verbal Communication, Quick Learner, Project Leadership PROFESSIONAL/INDUSTRY EXPERIENCE

Data Engineer at NEUSTAR (A TRANSUNION Company) Jul 2019 - Dec 2022

● Created tailored Python scripts and Java REST APIs, resulting in the automation and optimization of routine data cleaning and manipulation tasks. Delivered a 15% enhancement in the efficiency, design, and productivity of the Data Analyst team.

● Spearheaded the designing and implementation of the application migration from AWS to GCP to increase cost efficiency and performance, reducing the operating value by 37%.

● Conducted quality assurance and regression testing before deploying the functionalities in production, using agile methodologies and CI/CD tools, including Jenkins(stem) and GitLab.

● Programmed and executed optimized stored procedures in PostgreSQL, minimizing data processing time by 40% and improving overall system performance.

● Engineered and implemented ETL pipeline functionalities in Python for processing raw client data, enabling the generation of Tableau reports within a Media Mix Modeling application. Contributed comprehensive Marketing Analytics solutions to major global corporations, including Walmart, AT&T, and Target Workday. INTERNSHIP

Data Science Intern at SCRIPBOX Jan 2019 - Mar 2019

● Executed a demographic modeling project within the Wealth Management and Portfolio Planning Services application.

● Enabled the calculation of financial goals based on user demographics, using financial analysis and financial modeling encompassing 42 distinct features. Performed Data mining and Analysis, programmed REST APIs, and utilized ORM Hibernate. PROJECTS

NBA’s MVP Prediction with Machine Learning (IEEE Paper) Mar 2023 - May 2023

● Developed and deployed a machine learning regression model to predict the NBA’s Most Valuable Player for each season.

● Employed performance metric root mean squared error (RMSE) to assess model accuracy, achieving a 91% accuracy rate. Human Resource Analytics Dashboard Feb 2023

● Analyzed complex HR data sets and leveraged Tableau to create visually impactful charts, graphs, and dashboards, enabling the HR department to implement targeted retention strategies in the Renewable Energy industry.

● Streamlined HR planning processes by enhancing data visualization capabilities; developed interactive dashboards that delivered real-time insights on workforce trends, and forecasted and improved resource allocation efficiency by 20%. Gender Detection Using Facial Features Jan 2019 - Mar 2019

● Leveraged advanced data extraction methods to identify facial characteristics from photographic data, contributing to developing a gender classification model that enhanced customer segmentation.

● Applied PCA dimensionality reduction and K-means clustering algorithms to explore data patterns and identify distinct groups CERTIFICATIONS

• IBM certified in "Machine Learning” and LinkedIn Certified in "Tableau" and "SQL"