Soumyabrata Kundu
Chicago,USA
Summary
Passionate about leveraging expertise in machine learning, cluster computing, and handling big data to drive efficiency
and maximize resource utilization. Proven track record of optimizing workflows and resource allocation to achieve
optimal results. Experienced in collaborating with faculty and staff to create meaningful learning experiences,
showcasing strong teamwork and collaboration skills. Recognized for outstanding contributions in statistical analysis
and problem-solving, as evidenced by being awarded the Junior and Senior Consultant Awards. Dedicated to applying
creative problem-solving and lean management skills to contribute to the growth and profitability of a dynamic
company.
Overview
6
6
years of professional experience
Work History
Lecturer
Department Of Statistics, University Of Chicago
Chicagp, IL
03.2024 - 06.2024
- Course: STAT 23400 - Statistical Methods and Applications
- Assessed and evaluated student progress through regular assessments, providing detailed feedback for improvement and growth.
- Selected and designed lesson plans and curriculum to meet academic objectives, fostering dynamic and engaging learning environment.
- Collaborated with faculty and staff to create meaningful learning experiences, ensuring alignment with course objectives and student needs.
Equivariant Neural Networks (Research Project)
Department Of Statistics, University Of Chicago
Chicago, IL
08.2022 - Current
- Mentor: Dr. Risi Kondor
- Spearheaded research in computer vision, pioneering new methodologies for equivariant neural networks to adeptly manage rigid body transformations of images.
- Conducted exhaustive literature reviews to pinpoint knowledge gaps and steer research projects, ensuring robust foundation for innovative exploration in the realm of computer vision and equivariance.
Consulting Work
Department Of Statistics, University Of Chicago
09.2021 - 06.2023
- Provided consulting services in statistical analysis and problem-solving to clients from various fields like biological and social sciences.
- Led teams in providing high-quality consulting services to nearly 15 different clients, offering detailed recommendations and subsequent reports containing references and other pertinent suggestions tailored to each specific problem.
- For my outstanding contributions, I received both the Junior and Senior Consultant Awards consecutively, recognizing my impactful work and dedication.
Teacher's Assistant
Department Of Statistics, University Of Chicago
01.2021 - 01.2022
- Autumn 2021 : STAT 23400 - Statistical Models and Methods
- Winter 2021 : STAT 22000 - Stat Methods and Applications
- Spring 2021 : STAT 22000 - Stat Methods and Applications
- Winter 2022 : STAT 22600 - Analysis of Categorical Data
- Winter 2023 : STAT 24400 - Statistical Theory and Methods I
- Spring 2023 : STAT 32950-24620 - Multivariate Statistical Analysis: Applications and Techniques
- Winter 2024 : STAT 27410 - Introduction to Bayesian Data Analysis
Metric Vector Spaces & Groups (Reading Project)
Indian Statistical Institute, Bangalore
05.2019 - 08.2019
- Supervisor Name: Dr. Maneesh Thakur
Mess Manager
Indian Statistical Institute, Bangalore
08.2018 - 07.2019
- Served as Mess Manager, overseeing daily food operations for the entire college, ensuring smooth functioning and quality service.
- Enhanced customer satisfaction by resolving disputes promptly, maintaining open lines of communication, and ensuring high-quality service delivery.
Convergence of Random Variables (Reading Project)
Indian Statistical Institute, Bangalore
06.2018 - 08.2018
- Supervisor Name: Dr. Parthanil Roy
Intern
INNOPLEX
05.2018 - 07.2018
- Worked in Financial Services wing of the company, specializing in building machine learning models for stock price movement prediction and sentiment analysis for news.
- This role provided extensive experience in handling big data, utilizing Python machine learning modules, and effectively managing clusters for enhanced computational efficiency.
- Supported staff members in their daily tasks, related to data collection and cleaning, reducing workload burden and allowing for increased focus on higher-priority assignments.
- Gained valuable experience working within specific industry, applying learned concepts directly into relevant work situations using various software programs, increasing proficiency and expanding technical skill set.
- Actively participated in team meetings, offering insightful suggestions that led to innovative problem-solving strategies.
Education
Ph.D. - Statistics
The University of Chicago
Chicago, IL06.2025
Bachelor of Mathematics (Hons) - Mathematics
Indian Statistical Institute
Bangalore, Karantaka, India07.2020
Skills
- Programming Proficiency: Python, R, C, PHP
- Machine Learning Expertise: PyTorch
- Cluster Computing Skills: Terminal, bash
- Statistical Data Analysis
- Proficiency in Handling Big Datasets
- Project Management
- Teamwork and Collaboration
- Decision-Making
Accomplishments
- KVPY Scholarship, 2017-2020
- Participant, Asian Science Camp 2018
- McCormick Fellowship, 2020-2022
- Junior Consultant Award, 2022
- Senior Consultant Award, 2023
Timeline
Lecturer
Department Of Statistics, University Of Chicago
03.2024 - 06.2024
Equivariant Neural Networks (Research Project)
Department Of Statistics, University Of Chicago
08.2022 - Current
Consulting Work
Department Of Statistics, University Of Chicago
09.2021 - 06.2023
Teacher's Assistant
Department Of Statistics, University Of Chicago
01.2021 - 01.2022
Metric Vector Spaces & Groups (Reading Project)
Indian Statistical Institute, Bangalore
05.2019 - 08.2019
Mess Manager
Indian Statistical Institute, Bangalore
08.2018 - 07.2019
Convergence of Random Variables (Reading Project)
Indian Statistical Institute, Bangalore
06.2018 - 08.2018
Intern
INNOPLEX
05.2018 - 07.2018
Ph.D. - Statistics
The University of Chicago
Bachelor of Mathematics (Hons) - Mathematics
Indian Statistical Institute
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