About MeInterestsExperienceSkillsEducationProjects

Welcome!

My name's Aneesh Didwania and I'm a senior studying Data Science with concentrations in Business Analytics, Economics, and Human Behavior at UC Berkeley. I am looking for roles starting in the summer of 2022 where I can supplement my work experience and coursework. I also love to learn, create, and eat out!

If you have any questions or want to learn more about me, please feel free to email me at aneeshdidwania@berkeley.edu.

Areas of Interest

Data Analysis

Data Visualization

Machine Learning

Natural Language Processing

Restauarant Analytics

Recommender Systems

Work Experience

May 2021 - July 2021
Financial Operations Intern
State Farm
  1. Introduced over 30 original macros in MS Excel VBA to condense multiple manual processes into 5-minute solutions
  2. Designed market share forecasts for State Farm and its top competitors through data on Direct Written Premiums and 5-Year CAGRs
  3. Performed trend analysis on incoming call volumes for support staff to conserve labor costs
May 2020 - June 2021
Data Analyst Intern
PPG Industries
  1. Engineered a method to automatically take raw LinkedIn Sales Navigator data and connect sales teams with potential industry clients
  2. Implemented machine learning and artificial intelligence algorithms to create product recommendations based on consumer spending habits and promotional sales
  3. Developed an automated Natural Language Processing Phone Ordering System to streamline a painter's ability to order paint
  4. Devised a system to detect a customer's likelihood to churn based on their seasonal purchasing behaviour
  5. Created an interactive multidimensional isochrone map to showcase a painter's distance from a particular job to help Operations Teams utilize untapped painters
May 2019 - August 2019
Data Management Intern
Xenomorph
  1. Fashioned new product offerings for multiple clients to store raw financial data and logical analyses in a horizontally and vertically scalable database in MongoDB through 10,000 lines of original code
  2. Refined decision-making practices by devising a system to read live financial data from Bloomberg/Reuters

Skills

0%
Novice
25%
Beginner
50%
Competent
75%
Proficient
100%
Expert

Programming Languages

Python
80%
Pandas
80%
Numpy
80%
Scikit-Learn
70%
Django
70%
NetworkX
60%
Matplotlib
60%
TensorFlow
60%
Seaborn
60%
Plotly
50%
Geopandas
50%
PyTorch
50%
R
70%
GGPlot2
80%
Dplyr
70%
Shiny Apps
70%
Markdown
70%
Plotly
60%
Magrittr
50%
JavaScript
60%
Leaflet
70%
Semantic UI
70%
Google Maps API
70%
Open Street Maps
70%
React/Next
60%
jQuery/AJAX
40%
Excel VBA
70%
PostgreSQL, MySQL, SQLite
70%
SAS
60%
HTML & CSS
60%
Java
60%
C#
60%

Programs

Databases
70%
Mongo DB/Compass
70%
MS SQL Server
70%
PgAdmin
50%
Visualization
70%
MS Excel
80%
MS PowerPoint
70%
Tableau
60%
AWS
60%
AWS Personalize
80%
AWS Sagemaker
70%
AWS Connect/Lex
70%
AWS Other
50%
Other
Jupyter
80%
Git
70%
JSON/XML
60%
Linux/Shell
50%
Postman
50%

University of California - Berkeley

Data Science Major - Business Analytics, Economics, Human Behavior

Senior (Graduating May 2022)

Courses

Data Science | Computer Science | Statistics
Data Mining & Analytics

  1. Explored various data science algorithms (Regression, Clustering, Neural Networks, etc.) and tools to perform predictive analytics

  2. Skills: Python (Pandas, Scikit-Learn, PyTorch, TensorFlow, Seaborn, Plotly)

Principles & Techniques of Data Science

  1. Explored key areas of data science including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making

  2. Skills: Python (Pandas, Numpy, Scikit-Learn, Pytorch, Matplotlib, Seaborn, Plotly), SQL

Concepts in Computing with Data

  1. Utilized principles of data manipulation (e.g. wrangling, reshaping, tidying) to carry out the Data Analysis Cycle by visualizing data, organizing workflows, and creating reports

  2. Skills: R (Shiny, ggplot2, Dplyr, Plotly, Magrittr, Markdown)

Data Science for Smart Cities

  1. Studied the complex urban systems and cities in the light of network science by exploring concepts from social, natural, engineering and humanity sciences

  2. Skills: Python (NetworkX, Pandas, Numpy, Matplotlib, GeoPandas, OSMnx)

Computational Structures in Data Science

  1. Learned foundations of programming languages through functional programming, data abstraction, object-oriented programming, and program complexity

  2. Skills: Python

Data Structures

  1. Explored the creation of data structures and efficient programming methods with an emphasis in time and memory complexity

  2. Skills: Java

Foundations of Data Science

  1. Learned critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets

  2. Skills: Python(Numpy, Pandas, Matplotlib)

Concepts of Statistics

  1. Explored important topics in sampling, prediction methods, and biases

Concepts of Probability

  1. Explored important probability concepts and distributions

Introduction to Probability and Statistics

  1. Learned about various statistical concepts and methods for selecting appropriate analyses based on data

Miscellaneous

  1. Human Contexts and Ethics of Data - DATA/History/STS

  2. Linear Algebra and Differential Equations

  3. Multivariable Calculus

  4. Calculus

  5. Reading, Composition, and Research

  6. English Composition in Connection with the Reading of World Literature

  7. Introduction to Economics

  8. Economic Analysis - Micro

  9. Business Analytics

  10. Sociology and Political Ecology of Agro-Food Systems

  11. Bioinspired Design

  12. Psychology

  13. Science of Human Happiness

  14. Ancient Near Eastern Mythology

Extracurriculars

Seed Base Consulting
Vice President of Consulting

  1. Advanced skills of 25 new project managers and strategy consultants on consulting topics such as researching effectively, visualizing data in Excel, and creating powerful PowerPoint/Figma presentations

Project Manager

  1. Worked with Petal Card Inc. to increase brand adoption in student audiences through product development recommendations and marketing strategies by managing a team of 6 new consultants and delegating research and method formulation based on skill set

  2. Generated insights for Samsung to increase their userbase in the Developer Universe through gamification by leading a team of 5 to perform competitor analysis, conduct student surveys, and research industry techniques

Strategy Consultant

  1. Prevented mismanagement of consumer items by providing warehouse RFID solutions to Clutter Inc.

Zahanat Indian Dance Team
Varsity Squash Team
Data Science Society

If you have any suggestions for project ideas, restaurants to try, or just want to chat please feel free to email me at aneeshdidwania@berkeley.edu

© 2021 Aneesh Didwania | Media

About MeInterestsExperienceProjectsEducationSkills

Welcome!

My name's Aneesh Didwania and I'm a senior studying Data Science with concentrations in Business Analytics, Economics, and Human Behavior at UC Berkeley. I am looking for roles starting in the summer of 2022 where I can supplement my work experience and coursework. I also love to learn, create, and eat out!

If you have any questions or want to learn more about me, please feel free to email me at aneeshdidwania@berkeley.edu.

Areas of Interest

Data Analysis

Data Visualization

Machine Learning

Natural Language Processing

Restauarant Analytics

Recommender Systems

Work Experience

May 2021 - July 2021
Financial Operations Intern
State Farm
  1. Introduced over 30 original macros in MS Excel VBA to condense multiple manual processes into 5-minute solutions
  2. Designed market share forecasts for State Farm and its top competitors through data on Direct Written Premiums and 5-Year CAGRs
  3. Performed trend analysis on incoming call volumes for support staff to conserve labor costs
May 2020 - June 2021
Data Analyst Intern
PPG Industries
  1. Engineered a method to automatically take raw LinkedIn Sales Navigator data and connect sales teams with potential industry clients
  2. Implemented machine learning and artificial intelligence algorithms to create product recommendations based on consumer spending habits and promotional sales
  3. Developed an automated Natural Language Processing Phone Ordering System to streamline a painter's ability to order paint
  4. Devised a system to detect a customer's likelihood to churn based on their seasonal purchasing behaviour
  5. Created an interactive multidimensional isochrone map to showcase a painter's distance from a particular job to help Operations Teams utilize untapped painters
May 2019 - August 2019
Data Management Intern
Xenomorph
  1. Fashioned new product offerings for multiple clients to store raw financial data and logical analyses in a horizontally and vertically scalable database in MongoDB through 10,000 lines of original code
  2. Refined decision-making practices by devising a system to read live financial data from Bloomberg/Reuters

Skills

0%
Novice
25%
Beginner
50%
Competent
75%
Proficient
100%
Expert

Programming Languages

Python
80%
Pandas
80%
Numpy
80%
Scikit-Learn
70%
Django
70%
NetworkX
60%
Matplotlib
60%
TensorFlow
60%
Seaborn
60%
Plotly
50%
Geopandas
50%
PyTorch
50%
R
70%
GGPlot2
80%
Dplyr
70%
Shiny Apps
70%
Markdown
70%
Plotly
60%
Magrittr
50%
JavaScript
60%
Leaflet
70%
Semantic UI
70%
Google Maps API
70%
Open Street Maps
70%
React/Next
60%
jQuery/AJAX
40%
Excel VBA
70%
PostgreSQL, MySQL, SQLite
70%
SAS
60%
HTML & CSS
60%
Java
60%
C#
60%

Programs

Databases
70%
Mongo DB/Compass
70%
MS SQL Server
70%
PgAdmin
50%
Visualization
70%
MS Excel
80%
MS PowerPoint
70%
Tableau
60%
AWS
60%
AWS Personalize
80%
AWS Sagemaker
70%
AWS Connect/Lex
70%
AWS Other
50%
Other
Jupyter
80%
Git
70%
JSON/XML
60%
Linux/Shell
50%
Postman
50%

University of California - Berkeley

Data Science Major - Business Analytics, Economics, Human Behavior

Senior (Graduating May 2022)

Courses

Data Science | Computer Science | Statistics
Data Mining & Analytics

  1. Explored various data science algorithms (Regression, Clustering, Neural Networks, etc.) and tools to perform predictive analytics

  2. Skills: Python (Pandas, Scikit-Learn, PyTorch, TensorFlow, Seaborn, Plotly)

Principles & Techniques of Data Science

  1. Explored key areas of data science including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making

  2. Skills: Python (Pandas, Numpy, Scikit-Learn, Pytorch, Matplotlib, Seaborn, Plotly), SQL

Concepts in Computing with Data

  1. Utilized principles of data manipulation (e.g. wrangling, reshaping, tidying) to carry out the Data Analysis Cycle by visualizing data, organizing workflows, and creating reports

  2. Skills: R (Shiny, ggplot2, Dplyr, Plotly, Magrittr, Markdown)

Data Science for Smart Cities

  1. Studied the complex urban systems and cities in the light of network science by exploring concepts from social, natural, engineering and humanity sciences

  2. Skills: Python (NetworkX, Pandas, Numpy, Matplotlib, GeoPandas, OSMnx)

Computational Structures in Data Science

  1. Learned foundations of programming languages through functional programming, data abstraction, object-oriented programming, and program complexity

  2. Skills: Python

Data Structures

  1. Explored the creation of data structures and efficient programming methods with an emphasis in time and memory complexity

  2. Skills: Java

Foundations of Data Science

  1. Learned critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets

  2. Skills: Python(Numpy, Pandas, Matplotlib)

Concepts of Statistics

  1. Explored important topics in sampling, prediction methods, and biases

Concepts of Probability

  1. Explored important probability concepts and distributions

Introduction to Probability and Statistics

  1. Learned about various statistical concepts and methods for selecting appropriate analyses based on data

Miscellaneous

  1. Human Contexts and Ethics of Data - DATA/History/STS

  2. Linear Algebra and Differential Equations

  3. Multivariable Calculus

  4. Calculus

  5. Reading, Composition, and Research

  6. English Composition in Connection with the Reading of World Literature

  7. Introduction to Economics

  8. Economic Analysis - Micro

  9. Business Analytics

  10. Sociology and Political Ecology of Agro-Food Systems

  11. Bioinspired Design

  12. Psychology

  13. Science of Human Happiness

  14. Ancient Near Eastern Mythology

Extracurriculars

Seed Base Consulting
Vice President of Consulting

  1. Advanced skills of 25 new project managers and strategy consultants on consulting topics such as researching effectively, visualizing data in Excel, and creating powerful PowerPoint/Figma presentations

Project Manager

  1. Worked with Petal Card Inc. to increase brand adoption in student audiences through product development recommendations and marketing strategies by managing a team of 6 new consultants and delegating research and method formulation based on skill set

  2. Generated insights for Samsung to increase their userbase in the Developer Universe through gamification by leading a team of 5 to perform competitor analysis, conduct student surveys, and research industry techniques

Strategy Consultant

  1. Prevented mismanagement of consumer items by providing warehouse RFID solutions to Clutter Inc.

Zahanat Indian Dance Team
Varsity Squash Team
Data Science Society

If you have any suggestions for project ideas, restaurants to try, or just want to chat please feel free to email me at aneeshdidwania@berkeley.edu

© 2021 Aneesh Didwania | Media