Data Peer Consulting

Summer 2020 Virtual Data Peer Consulting Services 

Our services this Summer will be offered starting on Monday, June 8th! Please scroll down to see the calendar for office hour availability. 

  • Virtual Office Hours: https://data.berkeley.edu/dpc-drop-in
    • Open Mon-Thurs 11am-4pm
  • If you would like to reach other consultants on campus that can help you, drop by this virtual frontdesk: https://dlab.berkeley.edu/frontdesk
    • Open Mon-Fri 9am-5pm to speak with a live person.
    • The frontdesk staff will help you find and schedule the right expertise from our pool of consultants at Data Peers, D-Lab, and Research IT.
Spring 2020 Peer Consulting Website image

Are you a Berkeley student, staff member, or faculty looking for a little help with data science?

  • Not sure how to use a Jupyter notebook?
  • Need to learn a little SQL for a research project?
  • Need help with a data science module in one of your courses? 

Data Peer Consulting can help!

Students in our data consulting network help make data science accessible across the broader campus community. Launched in Fall 2017, these services are provided as a collaboration between the Center for Connected Learning in UC Berkeley's Moffitt Library; D-Lab; Research IT; and the Division of Computing, Data Science, and Society. Starting in Fall 2019, this project has also been brought to you by the Student Tech Fund

Summer 2020 Drop-In Office Hour Schedule 

  • Join the drop-in office hour(s) from 11am-4pm Mon-Thu at http://data.berkeley.edu/dpc-drop-in. Please see the calendar below to find which peer consultant is available at each hour.

Meet the Peer Consultants:

Bharadwaj (Barry)Bharadwaj Swaminathan peer consulting picture

Preferred Pronouns: He/Him/His
Major(s) and Minor(s): Data Science, Economics
Major Courses Completed: CS 61A, CS 61B, Data 100, Data 8, Stat 88, Math 54, Stat 140
Current Courses: CS 189, Econ 140, Econ 136, HIST 160, HIST C184D
Languages: Python, SQL, Front End (React, HTML, JS, CSS), iPython (Jupyter notebooks), LaTex, Git, STATA, Excel
PackagesPandas, MatplotLib, Seaborne, NumPy, SciPy, datascience (Data 8)

Fundamentals: Statistical Testing (Hypothesis Testing, A/B Testing, T-Tests, etc.), Probability, Data Cleaning/ Manipulation, Machine Learning, Linear Algebra, Calculus

Hey, I'm Bharadwaj. I'm a rising senior double majoring in Economics and Data Science. Stop by my consulting hours if you need help with assignments, projects or other data science related queries or just want to chat about life and memes.


Carlos

Preferred Pronouns: He/Him/His
Major(s) and Minor(s): Cognitive Science
Areas of Interest: NLP, Civic Tech, Mental Health, ML, Data Ethics
Major Courses Completed: CS61A, CS61B, Data 8, Data 100, Math 54, CogSci 1
Current Courses: Chicano 135A, Psych C64, UGBA 192S
Languages: Python, SQL, Java, Front End (React, HTML, JS, CSS), iPython (Jupyter notebooks), LaTex, Git, Excel
Packages: Pandas, MatplotLib, Seaborne, NumPy, SciPy, datascience (Data 8), PlotLy, BeautifulSoup
Fundamentals: Statistical Testing (Hypothesis Testing, A/B Testing, T-Tests, etc.), Probability, Data Cleaning/ Manipulation, Machine Learning, Linear Algebra, Webscraping, Calculus

I'm Carlos, entering my last year of undergrad at Cal. I'm studying Cognitive Science, but my energy is primarily focused on Data Science. I like learning about the ways in which Data Science can be applied to other areas, especially government. I love to write about my experiences with Data Science and have a passion for making tech as accessible as possible. Besides tech, I like photography/videography, reading blogs (maybe books someday) about history, mental health and philosophy, and have recently gotten into crossword puzzles. Let's chat!


Daniel

Preferred Pronouns: he/him
Major(s) and Minor(s): Data Science
Areas of Interest: Visualizations, Analytics, Probability 
Major Courses Completed: CS 61A, CS61B, Data 8, Data 100, Info 190 (Data Viz), Stat 133
Current Courses: Stat 140
Languages: Python, R, SQL, Java, Tableau, LaTex, Git, Excel
Packages: Pandas, MatplotLib, Seaborne, NumPy, SciPy, datascience (Data 8), ggplot2 (R)
Fundamentals: Probability, Data Cleaning/Manipulation, Linear Algebra, Databases, Calculus

What's up? I'm Daniel and I'm a 4th year majoring in Data Science with an Emphasis in Organizations and The Economy. My favorite part of data science is being able to tell a story with our findings, being able to inform people to take real world actions based on factual data. I'm especially interested in doing data science for social good. When I'm not doing that I'm usually trying new recipes, watching soccer, playing smash or playing poker.


Jahnavi
 
Preferred Pronouns: She/Her/Hers
Major(s) and Minor(s): Computer Science, Data Science
Areas of Interest: Machine Learning, Big Data, Healthcare, CS for Good
Major Courses Completed: CS61A, CS61B, CS61C, CS70, CS170, CS186, CS188, CS189, CS162, CS/Stat 100, Stat 134, IEOR 135, Math 53, Math 54, PH 196, EECS16A
Current Courses: CS161, CS182, PH 244, BioE 145
Languages:
 Python, R, SQL, Java, C, Front End (React, HTML, JS, CSS), iPython (Jupyter notebooks), Git
PackagesPandas, MatplotLib, Seaborne, NumPy, SciPy, PlotLy, BeautifulSoup, D3.js, Charts.js, Tensorflow, ggplot2 (R), GeoPandas
Fundamentals: Probability, Data Cleaning/ Manipulation, Machine Learning, Linear Algebra, Webscraping, Databases, Calculus, Open Source Project Development

Hi! I'm Jahnavi, and I just graduated from Cal with majors in Computer Science and Data Science, with a domain emphasis in Computational Biology. I love exploring how programming can make our lives so much easier and want to help you navigate that process as well! In my free time, I love to dance, run, hike, and try new eating places. Stop by if you have any questions regarding technical consulting, research opportunities, interview preparation, or just want to chat!


Samanthasamantha tang peer consulting picture

Preferred Pronouns: She/Her
Major(s) and Minor(s): Data Science
Areas of Interest: Data engineering, ML, hiking, food, sleep, puzzles
Major Courses Completed: Math 1B, Math 54, CS61A, CS61B, DS100, Data 8, Prob140, HistC184D, UGBA104, CS188, Stat 154, UGBA 147
Current Courses: N/A
Languages: Python, R, SQL, Java, Tableau, iPython (Jupyter notebooks), Git, Excel
Packages: Pandas, MatplotLib, Seaborne, NumPy, datascience (Data 8), BeautifulSoup, ggplot2 (R)
Fundamentals: Data Cleaning/ Manipulation, Machine Learning, Webscraping, Databases, Calculus

Hello! I'm Samantha, a third year studying Data Science. I love how data can be used to narrate the world around us, and I want to help anyone who's interested in learning more! I love hiking, food, and jigsaw puzzles. Feel free to stop by if you have any questions! Always happy to talk! =)


 

Sammy
 
Preferred Pronouns: She/Her/Hers
Major(s) and Minor(s): Cognitive Science, Data Science
Areas of Interest: Visualization, Big Data, Analytics, UI/UX
Major Courses Completed: CS 61A, Data 8, Data 100, History C184D, Math 54, Stat 88
Current Courses: Cog Sci 131
Languages: Python, SQL, iPython (Jupyter notebooks), LaTex, Excel
PackagesPandas, MatplotLib, Seaborne, NumPy, datascience (Data 8)
Fundamentals: Statistical Testing (Hypothesis Testing, A/B Testing, T-Tests, etc.), Probability, Data Cleaning/ Manipulation, Linear Algebra, Databases, Calculus

Hi! My I'm Sammy and I am a rising Senior, majoring in Cognitive Science and Data Science, with the Cognition emphasis. I grew up in Southern California, and I love running, swimming, going to the beach, reading, hiking and hanging out with friends. I have had the best experience exploring data science in my years and Cal and would love to help more people do the same!


Simran

Preferred Pronouns: She/her/hers
Major(s) and Minor(s): Data Science and Applied Mathematics
Areas of Interest: Business Analytics and Industrial Engineering
Major Courses Completed: Data 8, Data 100, Prob 140, CS 61A, CS 61B, CS 70, Math 54, Math 53, Math 110, Math 104, Math 185, UGBA 104, CS 189, CS 186
Current Courses: N/A
Languages: Python, SQL, Java, MATLAB, iPython (Jupyter notebooks), LaTex, Excel
PackagesPandas, MatplotLib, Seaborne, NumPy, SciPy, datascience (Data 8)
Fundamentals: Statistical Testing (Hypothesis Testing, A/B Testing, T-Tests, etc.), Probability, Data Cleaning/ Manipulation, Linear Algebra, Calculus

Hi! I'm Simran and I'm a fourth-year studying Data Science and Applied Mathematics. I love how diverse the applications of data are and the potential data has for improving life. I am excited that I am able to learn and apply new technology skills every day. When I am not busy studying, I enjoy hiking, traveling, playing badminton, and trying new foods. Feel free to stop by if you have any questions or would just like to chat!


 

Spencer

Preferred Pronouns: he/him/his
Major(s) and Minor(s): Data Science, Computer Science
Areas of Interest: Machine Learning, Privacy, Big Data
Major Courses Completed: CS 61A, CS61B, Math 54, Data 8, Data 100
Current Courses: DIGHUM 100, CS 70
Languages: Python, SQL, Java, iPython (Jupyter notebooks), Git, Excel
PackagesPandas, MatplotLib, Seaborne, NumPy, SciPy, datascience (Data 8), PlotLy
FundamentalsStatistical Testing (Hypothesis Testing, A/B Testing, T-Tests, etc.), Probability, Data Cleaning/ Manipulation, Linear Algebra, Calculus

Hello there! I'm Spencer! I am currently a rising junior majoring in Data Science with a domain interest in Business and Industrial analytics. I love crunching down big data and analyzing it in order to help solve real-life issues. In my free time, I like jamming out to music, drawing, studying history, and posting on my foodstagram. If you have any questions regarding Computer Science or Data Science, please stop by!


 

Vincent

Preferred Pronouns: He, him, His
Major(s) and Minor(s): Data Science and Statistics
Domain Emphasis: Business Analytics
Major Courses Completed: All lower division Data Science courses, Data100, Prob140, Stat 133, Stat135 CS170, CS186
Current Courses: CS189, Stat 151a, ISF 100J
Languages: Python, R, SQL, Java, iPython (Jupyter notebooks), LaTex, Git, STATA, Excel
Packages: Pandas, MatplotLib, Seaborne, NumPy, SciPy, datascience (Data 8), ggplot2 (R)
Fundamentals: Statistical Testing (Hypothesis Testing, A/B Testing, T-Tests, etc.), Probability, Data Cleaning/ Manipulation, Machine Learning, Linear Algebra, Databases, Calculus

Hey! I'm a 4th year studying Data Science and Statistics, looking for good conversation and good food [to cook]. Come say hi!


Yash

Preferred Pronouns: He/him/his
Major(s) and Minor(s): Computer Science, Statistics
Areas of Interest: Product Management and Trading
Major Courses Completed: CS61A, CS61B, CS70, Math 54, Math 53, CS 170, Data 100
Current Courses: CS 188, CS 61C
Languages: Python, SQL, Java, iPython (Jupyter notebooks), LaTex
PackagesPandas, NumPy
Fundamentals: Statistical Testing (Hypothesis Testing, A/B Testing, T-Tests, etc.), Probability, Data Cleaning/ Manipulation, Linear Algebra, Calculus

Hi! I'm Yash and I'm an undergraduate studying Computer Science and Statistics. Professionally, my interests are split between Product Management and Trading. In my free time, I enjoy watching stand-up comedy, trading stocks, and lifting. Stop by if you want to talk about anything related to data science, product, or even investing.


 

Contact 

Email: ds-peer-consulting@berkeley.edu

Location: 3rd Floor Moffitt Library
(after presenting your ID at the front desk, keep walking straight past the elevators, then turn right).

Training

All Data Peer Consultants take the Division of Data Sciences Teaching & Consulting DATA 198 course that runs every semester. Data Peer Consultants also complete select D-Lab workshop trainings

Availability 

  • All Peer Consultants hold drop-in office hours, which are located on the third floor of Moffitt Library. Spring and Summer 2020 they will be virtual due to COVID-19. Please see the schedule to find the virtual office hour link. 
  • Peer Consultants can also consult on an appointment basis if you're not able to make their drop-in hours. Email us at ds-peer-consulting@berkeley.edu(link sends e-mail) with appointment inquiries. 
  • Please scroll down to meet the Peer Consultants and to view the calendar with their hours. You can click on a student's name on the calendar to read about which topics that student consultant can help you with!
  • If you have a question or topic that you would like to get help on that you believe would require a Peer Consultants's preparation in advance prior to you dropping in, please send us an email at ds-peer-consulting@berkeley.edu(link sends e-mail)