PORTFOLIO | CV
PORTFOLIO | CV
My knowledge and skills straddle across the humanities, formal & empirical sciences, and tech; while my upbringing and experiences straddle the world - across the east and the west. I'm driven to solve hard purposeful problems at the edge of knowledge and innovation. Open to new connections and opportunities for impact.
Education
Dickinson College, Carlisle, USA Aug 2018 – May 2022
B.S. Mathematics and Philosophy (Double Major), Minor in Physics
GPA: 3.80 (Cumulative), 3.73 (Math), 3.95 (Philosophy)
Honors: Magna Cum Laude, Alpha Lambda Delta Honors Society, Pi Mu Epsilon Math Honors Society, Dean’s lists, International student grant recipient
Extracurriculars: Started a Philosophy Club (The Philosophy Collective); Authored articles for the School Newspaper (The Dickinsonian)
Budhanilkantha School, Kathmandu, Nepal 2007 — June 2016
GCE Cambridge AS and A Levels Examinations November 2015, June 2016
Final Grades: A* (Physics), A, A, a^
Subjects of Study: Physics, Chemistry, Math, Further Math, English
Honors: Awarded for securing the highest mark in English Language examination in the country.
Other (Non-credit or Summer Programs):
Rangjung Yeshe Institute, Kathmandu University, Kathmandu, Nepal Sept 2024 — December 2024
Non-credit student
Enrolled in a course on the Fundamentals of Buddhist Philosophy, exploring no-Self views in Buddhism, including topics in Buddhist logic, epistemology, metaphysics, and philosophy of mind. Additionally, took a course on Madhyamaka thought, focusing on the Middle Way philosophy of emptiness.
Dietrich College, Carnegie Mellon University, Pittsburgh, PA June 2022
Summer Program in logic and formal epistemology
Topics: A tour of Linguistics (Week 1); Topology, Logic and Epistemology (Week 2); Network Epistemology (Week 3)
Work Experience
Clean Crop Technologies Oct 2022 – December 2023
Data Scientist
Led projects across the data lifecycle as the sole Data Scientist at the startup: sensor integration, signal processing, controls and automation, image processing, software development, database management, web dashboarding, statistical testing and machine learning.
Collaborated with interdisciplinary teams to utilize regression, time-series analysis, and signal processing in Python and R, to enhance seed treatment processes. Designed algorithms and led experiments, utilizing image processing, machine learning and hypothesis testing for process optimization and automation, accelerating product development by weeks and securing a major competitive edge for the startup.
Created eight Python-based applications for reactor automation and data entry, integrating real-time visualization with Plotly, resulting in a 5x process acceleration. Designed a spectral data analysis tool in Python, enabling R&D to gauge crucial gaseous concentrations for process refinement.
Streamlined and centralized vast Excel datasets into a unified MySQL database on AWS RDS, achieving a 6-fold memory storage reduction.
Rolled out eight interactive web tools with real time analytics for organization-wide data access, with versioning managed via GitHub.
Realized an 80% efficiency increase in plasma operations and data entry. Generated over $300,000 in annual savings through multi-tasking and leading high-yield projects.
Advising, Internships and Career Center, Dickinson College March 2022 – May 2022
Logic Tutor
Provided one on one mentoring to a student in an introductory logic course.
Developed and implemented strategy to help student understand key logic concepts and prepare for final exams.
Quantitative Reasoning (QR) Center, Dickinson College Sept 2021 – May 2022
QR Tutor and QR Associate
Tutored students in diverse quantitative courses spanning Mathematics, Physics, and Computer Science through weekly office hours.
Mentored students in Elementary Statistics (Math 121) as a QR Associate by hosting office hours, planning and leading exam review sessions.
Guided over 40 students in adopting effective learning strategies and problem-solving techniques, leading to enhanced comprehension of quantitative principles and applications.
Waidner-Spahr Library, Dickinson College September 2021 – May 2022
Library Services Consultant
Provided frontline assistance at the library’s circulation desk.
Greeted library visitors, answered main phone, shared policy information with visitors, assisted with building security procedures, troubleshooted technology equipment, and used specialized library software to process, manage and share library collection.
Was able to assist more than 20 visitors per day with library services, and helped the college keep the library functioning and running.
Department of Mathematics and Computer Science, Dickinson College Jan 2021 – May 2021
Teaching Assistant
Assisted a professor by grading assignments for a calculus class in integration and infinite series, by leveraging digital technology.
Tutored undergraduates in the Math department through weekly office hours during a mostly remote semester using zoom meetings.
Center for Civic Learning and Action, Dickinson College August 2019 – February 2020
Deliberative Democracy Fellow
Member of student leadership group focused on promoting civil discourse among students.
Researched existing dialogue programs at Dickinson College through secondary source readings, data collection and interviews.
Constructed a database of information and resources on existing dialogue programs worldwide using google sheets, with detailed analysis of more than 30 dialogue programs.
Brainstormed ideas with campus community members and supervisors to draft ideas about new civic dialogue programs (Planned implementations of dialogue programs got cut short or postponed due to the Covid pandemic).
Reached out to 20 plus clubs and organizations on campus to conduct interviews and help forge connections with the newly established campus center.
Helped faculty members conduct dialogue programs focused on college life and ethics.
English - Fluent
Nepali - Fluent
Hindi - Intermediate
Python, R, Java, MATLAB, SQL, Mosel, Mathematica
Microsoft Office, Google Suite, MySQL, AWS, ArcGIS, FICO Xpress, LaTeX, HTML, WordPress, Git, Linux
Automated Colony Counts Project – Python, OpenCV, Image Processing
Clean Crop Tech. 1 and half months x 40 hr/wk
Lead a project to automate the counting of e-coli colonies on petri dishes.
Wrote python scripts for real-time processing of video frames using the OpenCV library.
Used image processing steps such as gaussian transforms, morphological operations, minima detection, thresholding and connected components analysis, yielding a high degree of accuracy.
Ran experiments to quantify algorithm performance.
Plasma Reactor Software - Python, MySQL, AWS, Plotly
Clean Crop Tech. 7 months (continuous project) x 5 – 43 hr/wk
Built applications to automate high voltage plasma reactors by acquiring and responding to user inputs and sensor data.
Wrote controls’ logic for the cooling system and conveyance, and code for sensor interfacing, data pipelining, user data entry and control, and real time data display.
Seed Distribution Quantification Project – OpenCV, Statistical Modeling
Clean Crop Tech. ~ 1 month total across different tests/experiments X 40 hr/wk
Fine-tuned and modified an algorithm to quantify the uniformity of crop seeds on reactor plates through images.
Conducted hypothesis tests to compare uniformity between plates and feeder systems.
Conducted multivariate analysis to suggest an optimal vibratory frequency and amplitude for seed distribution. Created effective visualizations to convey results to relevant stakeholders.
Gas Spectral Analysis Project – Python, Lmfit, Seabreeze, Scikit-learn
Clean Crop Tech. 1 and ½ months X 40 hr/wk
Assisted my supervisor in creating a full stack data analytic application to measure the concentration of gaseous species in plasma reaction and to measure the plasma intensity (OES), using spectral data.
Worked with techniques for noise filtering, baseline removal, curve-fitting, and numerical computations.
Trends in Skill Demand – Python, Regression, Scikit-learn
PIC Math, Dickinson College. ~5 months X 15 hr/wk
Conducted a semester long data science research to analyze trends in demand for hard technical skills throughout the pandemic using job posting datasets from Kaggle.
Cleaned and processed large datasets, conducted literature reviews, employed regression and time-series analysis to get results.
Presented findings to a campus wide audience of students and faculty members.
Changes in Water Usage at Dickinson College: A statistical study – R, Regression, Hypothesis Tests
Prob and Stat II, Dickinson College. ~3 weeks X 1-4 hr/wk
Conducted a study to determine if the student water usage in residential buildings had significantly changed post-pandemic.
Processed excel data, plotted trendlines, conducted model utility tests, computed prediction intervals and utilized appropriate hypothesis tests to find results, which was presented in a campus wide poster presentation.