Samuel Kalish Email & Phone Number
@tamr.com
LinkedIn matched
Who is Samuel Kalish? Overview
A concise factual answer block for searchers comparing this professional profile.
Samuel Kalish is listed as Senior Engineer, Data Products at Tamr, a with 179 employees, based in Boston, Massachusetts, United States. AeroLeads shows a work email signal at tamr.com and a matched LinkedIn profile for Samuel Kalish.
Samuel Kalish previously worked as Lead DataOps Engineer at Tamr and Senior DataOps Engineer at Tamr. Samuel Kalish holds Doctor Of Philosophy - Phd, Physics from Boston University.
Email format at Tamr
This section adds company-level context without repeating Samuel Kalish's masked contact details.
AeroLeads found 1 current-domain work email signal for Samuel Kalish. Compare company email patterns before reaching out.
About Samuel Kalish
Data science fellow with a background in research science. Passionate about using analysis and machine learning to extract actionable insights from data and make a meaningful impact on the world.Data science skills include linear and logistic regression, k-NN and k-means clustering, natural language processing, web scraping, and data visualization. Experienced with C, Python, Mathematica, bash, NumPy, pandas, scikit-learn, and Jupyter notebooks. GitHub: github.com/skalish
Listed skills include Fortran, Pandas, Scikit Learn, Git, and 20 others.
Samuel Kalish's current company
Company context helps verify the profile and gives searchers a useful next step.
Samuel Kalish work experience
A career timeline built from the work history available for this profile.
Lead Dataops Engineer
Senior Dataops Engineer
Dataops Engineer
Data Science Fellow
• Developed HopScotch, a content-based scotch whisky recommender based on product similarity learned from tasting notes in combination with regional information• Carried out natural language processing to individually vectorize three tasting note text features using term frequency-inverse document frequency embedding with scikit-learn• Collected and cleaned data scraped with Beautiful Soup 4 to compile a database of over 1000 scotches• Deployed Flask-based app to hop-scotch.tech using AWS and NGINX
Graduate Research And Teaching Fellow
• Developed computational and theoretical models of complex crystal systems, calculating lattice dynamics of phonon dispersions in Mathematica to contextualize and interpret experimental data to determine the interaction of electronic and vibrational modes at the surfaces of topological materials, informing potential applications in spintronics and quantum computing• Created a streamlined Mathematica pipeline for faster and more reproducible analysis of helium scattering experiment data, eliminating the need for multiple proprietary programs• Operated and maintained ultra-high vacuum technology and designed mechanical and electronic systems, improving precision and reducing downtime between experiments• Designed instructional material and led eleven semesters of lab and discussion sections teaching students from various disciplines in introductory and advanced physics courses, granted Outstanding Teaching Fellow Award
Undergraduate Research Assistant
• Carried out calculations in C and developed ab initio theory demonstrating novel optical systems that exhibit asymmetric light propagation for potential applications in photonic integrated circuitry• Identified effects of the interplay of disorder and active elements on the localization of light in waveguides
Engineering Intern
• Designed and constructed specialized electronic circuit for measuring hysteresis in polarization of ferroelectric materials for potential use in hydrogen fuel cell technology• Measured resistance of ceramic materials in dry air and wet hydrogen environments, and identified non-trivial time-dependent behavior informing future technological applications• Composed detailed report communicating results of study to the head of R&D department
Colleagues at Tamr
Other employees you can reach at tamr.com. View company contacts for 179 employees →
Morgan St
Colleague at TamrGreater Macon, United States
View →
MA
Mahmoud Amin
Colleague at TamrJiddah, Makkah, Saudi Arabia
View →
SR
Sara Russell
Colleague at TamrActon, Massachusetts, United States
View →
DO
Dominick Olivito
Colleague at TamrArlington, Massachusetts, United States
View →
SB
Steph Brownsell
Colleague at TamrCamden Town, England, United Kingdom
View →
HR
Haley Richman
Colleague at TamrBoston, Massachusetts, United States
View →
SR
Shiv Roy
Colleague at TamrMumbai, Maharashtra, India
View →
EO
Elizabeth O'Brien
Colleague at TamrHoboken, New Jersey, United States
View →
MM
Margaret Martin
Colleague at TamrGreater Cleveland, United States
View →
TK
Tristan Koopman
Colleague at TamrCambridge, Massachusetts, United States
View →
Samuel Kalish education
Doctor Of Philosophy - Phd, Physics
Master Of Arts - Ma, Physics
Bachelor Of Arts (Ba), Physics
Frequently asked questions about Samuel Kalish
Quick answers generated from the profile data available on this page.
What company does Samuel Kalish work for?
Samuel Kalish works for Tamr.
What is Samuel Kalish's role at Tamr?
Samuel Kalish is listed as Senior Engineer, Data Products at Tamr.
What is Samuel Kalish's email address?
AeroLeads has found 1 work email signal at @tamr.com for Samuel Kalish at Tamr.
Where is Samuel Kalish based?
Samuel Kalish is based in Boston, Massachusetts, United States while working with Tamr.
What companies has Samuel Kalish worked for?
Samuel Kalish has worked for Tamr, Tamr Inc., Insight Data Science, Boston University, and Wesleyan University.
Who are Samuel Kalish's colleagues at Tamr?
Samuel Kalish's colleagues at Tamr include Morgan St, Mahmoud Amin, Sara Russell, Dominick Olivito, and Steph Brownsell.
How can I contact Samuel Kalish?
You can use AeroLeads to view verified contact signals for Samuel Kalish at Tamr, including work email, phone, and LinkedIn data when available.
What schools did Samuel Kalish attend?
Samuel Kalish holds Doctor Of Philosophy - Phd, Physics from Boston University.
What skills is Samuel Kalish known for?
Samuel Kalish is listed with skills including Fortran, Pandas, Scikit Learn, Git, Matlab, Linear Regression, Principal Component Analysis, and Natural Language Processing.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trialCheck these profiles if this is not the Samuel Kalish you were looking for.
View similar profiles