Data Scientist✦Machine Learning✦Astrophysics
Rishabh Solanki
Stars and Stories
↓About
I'm a data scientist at Mammoth Holdings, using machine learning and AI to solve real-world business problems. Before this, I was doing research in astrophysics, working on simulations of stellar mergers involving white dwarfs. I'm into hiking, sunsets, and mountains. I often find myself wondering if the universe is deterministic or not and if there's more to the story.
Experience
Career Summary
Data Scientist • Machine Learning Engineer • Computational Astrophysicist
- A data-driven professional with over 3 years of hands-on experience in data science and machine learning (Scikit-learn and TensorFlow), showcasing proven results in modeling, and scalable deployments.
- A dynamic data scientist with broad expertise in data engineering and AWS, skilled in transforming data into valuable insights and solutions using advanced mathematical modeling.
- A specialized machine learning engineer, proficient in classification, regression, and deep learning, leveraging a strong scientific background to excel in complex projects.
Areas of Expertise
- Programming Languages: Python, Java, SQL
- Libraries: Numpy, Pandas, Scikit-Learn, Tensorflow, Keras, XGBoost
- Machine Learning Techniques:
- Natural Language Processing
- Random Forest
- Classification, Regression, SVM
- High-Performance Computing: MPI, OpenMP, Slurm
- Quantitative Analysis: Mathematical Modeling, Statistical Analysis
- Data Visualization Libraries: Matplotlib, Seaborn, Plotly
- SDLC: Jira, Git, Agile methodologies
- Big Data Tools: Apache Spark
- Cloud Services: AWS (Glue, Lambda, SageMaker, Kinesis), Docker
Certifications
Education
-
2023
University of Massachusetts Dartmouth, Master's in Physics -
2018
University of Petroleum and Energy Studies, Bachelor's in Aerospace Engineering
Teaching & Computing
Teaching
As a Graduate Teaching Assistant at UMass Dartmouth, I gained valuable experience while working with undergraduate students. Being a TA was both challenging and rewarding, as it allowed me to help students learn and grow while also developing my own teaching skills.
I led discussion sections and lab sessions, graded assignments and exams, and provided additional support to students as needed. I also had the opportunity to work closely with the course instructor to plan and deliver lectures, create teaching materials, and evaluate student learning.
I have taught the following courses at UMass Dartmouth:
- PHY 115 - Intro Classical Physics Fall 2021 and Spring 2022 Recitation instructor
- PHY 113 - Classical Physics I Fall 2021 and Spring 2022 Lab instructor
- PHY 111 - Physics for Science and Engineering I Fall 2021 Recitation instructor
- PHY 103 - General Physics Lab I Fall 2021
Computing
In my research work, I utilize the FLASH code to simulate the mergers of white dwarf binaries. I have further enhanced the performance of these simulations by applying warp-level programming and CUDA libraries on NVIDIA GPUs, leading to more efficient and larger scale simulations.
I execute these FLASH codes and post-process data on the Stampede2 supercomputer, the flagship of the Extreme Science and Engineering Discovery Environment (XSEDE), using the yt tool to analyze and visualize the simulation data.