Feb 2018 – Present · 8 yrs 1 mo · San Francisco Bay Area

• + Communicate ideas of Mathematics, Physics and Statistics to non-experts. Often the audience, although bright, has short attention span. Design quick and effective ways to get quantitative ideas across. Teach mathematical and statistical tools such as linear and non-linear regression, statistical hypothesis testing, t-test and Analysis of Variance (ANOVA) to the beginners.

Jan 2014 – Present · 12 yrs 2 mos · San Francisco Bay Area

• + Book authorship: (2022-2024):
• Authored the book "Feynman's Path Integral Explained with Basic Calculus".
• Co-authored the book "Machine Learning With School Level Math" : A first-of-its-kind effort to demystify machine learning at the school level.
• + Semi-Conductor Research: 2019-Current
• Analytically predicted that electrons will become massless in certain semi-conductor materials. The quantum-rule based predictive algorithm uses perturbation analytics to calculate electron energy. Estimated the probability-rate of an electron making transition from its current to other states using numerical methods. Graphs and numerical results produced using MATLAB. This work was published in Jan 2021 in https://iopscience.iop.org/article/10.1088/2399-6528/abd69a
• + Algorithm Development (2016-2017)
• Extended a popular nucleic acid quantification technique in biotechnology (Digital PCR or DPCR) through statistical model-building. This new algorithm (called Poisson Plus), modifies the existing one. Graphs and numerical results produced using MATLAB. This algorithm is currently available as part of QuantStudio® 3D AnalysisSuite™ Cloud Software from Thermo Fisher Scientific. The work was published in Nature Scientific Reports.
• https://www.nature.com/articles/s41598-017-09183-4
• + Model Building and Data Analysis:
• Designed a new effective rating calculation algorithm for user reviews. Pulled data on restaurant ratings (web-scraping) from Yelp using Python scripts. Computed the new rating considering factors which are usually ignored, such as the spread of the ratings about the average.
• http://datalores.blogspot.com/2014/11/a-fresh-look-at-yelp-ratings.html
• + Worked at Varsity Tutors as an Independent Contractor (March 2016 to June 2019).

Mar 2012 – Jan 2014 · 1 yr 10 mos

• + Developed an algorithm for studying the effect of magnetic impurity in semi-Dirac (a type of semi-conductor material with exotic energy momentum dispersion), using iterative and self-consistent modeling principles. Developed the analytical treatment. Implemented the model using MATLAB.
• + Taught multiple physics courses at the undergraduate level.
• + Co-authored a data visualization book using MATLAB. The book presents recipes for data cleansing and visualization.

Sep 2006 – Feb 2012 · 5 yrs 5 mos

• + My doctoral work was on semi-conductor materials, with focus on semi-Dirac, a material with unconventional energy momentum dispersion. Used linear algebra, matrix theory, and quantum mechanics based predictive algorithms. Implemented analysis using MATLAB.
• + Taught Physics Labs to undergraduate students including hands-on experimentation, and data analysis.

Jan 2003 – May 2006 · 3 yrs 4 mos · Fairfax, VA, United States

• Worked on building an atomic magnetometer in the radio frequency range. Was actively involved in a collaboration with Princeton university, researching methods to de-noise electromagnetic signals. Gained hands-on experience with noise reducing equipment like Lock-in amplifier and magnetic shields.

Jan 2000 – Jan 2002 · 2 yrs · Pune, India

• + Spent two years on RF antenna design. Developed a theoretical model and implemented simulations for the cross-polarization pattern of a Giant Meter-wave Radio Telescope antenna at 150 MHz using C programming. Validated the model with observed datasets. Used Fourier transforms extensively to compute radiation patterns.