Resume

Education

Jan 2021 - May 2022
MS in Applied Data Analytics

Boston University

1st Semester (Spring'21)    | Overall GPA: 4.0

  • Data Science With Python    | GPA: 4.0
  • Analytics with R                       | GPA: 4.0
  • Analysis Of Algorithms          | GPA: 4.0

2nd Semester (Fall'21)      | Overall GPA: ---

  • Machine Learning                   | GPA: --
  • Big Data Analytics                  | GPA: --
  • Web Analytics and Mining    | GPA: --

2016 - Till Date
Introduction To Machine Learning With Tensorflow ND || Predictive Analytics For Business ND || Data Visualization ND || Business Analytics ND

Udacity

I have completed multiple courses on Udacity related to Data Science from 2016 to date. The courses on Udacity are more practical oriented and the projects provide real-world industry level projects experience.

2013-2017
B.Tech || Information Technology

Guru Gobind Singh Indraprastha University

Completed 4 years undergraduate from GGSIPU with majors in Information Technology.

Experience

March 2021-Till Date
Boston University

IT Consultant (On Campus Job)

  • Working as IT consultant on campus at Boston University with MET IT team. MET IT is considered one of the best and highest-paying on-campus jobs.
  • Working on Chatbot development for the MET website in order to decrease the load of a number of tickets coming for the IT team and increase the issue resolution time for the clients using tools Social Intent and Google Dialogflow.
  • Helping Professors, Staff, and Students with any technical problem they might be facing.

June 2019 - Oct 2020
Fractal Analytics

Data Science Consultant

  • Worked in Consumer Product Goods Domain as Data Science Consultant.
  • Helped the Supply Chain Team and Top-Level Executives (CEO, CFO, COO) make better business decisions by building insightful dashboards for multinational confectionary, food, holding and beverage, and snack food company and was recognized by the global CEO for my work.
  • Transformed the Volume and Profit & Loss tracking method for the finance team of one of America’s biggest FMCG companies for the North America Region and Global Team and helped them with better decision making.

March 2019 - Jan 2021
Udacity

Data Science Mentor

  • Reviewed students Projects and provided them with Feedbacks.
  • Provided solutions to the questions asked by students on the Knowledge Forum of Udacity.
  • Responsible for mentoring a cohort of Business Analyst Nanodegree and Predictive Analytics for Business Nanodegree students in the completion of the Nanodegree.
  • Conducted Weekly YouTube live webinars and teach Business Analytics and Predictive Analytics topics.

Oct 2018 - Feb 2019
FabHotels

Business Intelligence Analyst

  • Managed the Analytics department of inventory in the company including overbooking, last-minute cancellations, and no-show issues.
  • Decreased the revenue loss for the company from inventory by 2x and reduced the No-show percentage by 9% using Analytics and by making IVR and Manual calling process more efficient.
  • Helped the cluster managers make better decisions by providing critical insights from the data and helping them figure the frauds by the customers and the hoteliers.

Nov 2017 - July 2018
OneDirect

Business/Data Analyst

  • Helped different clients in improving their Online Reputation and in better decision making through the reports made by collecting data from different Social Media Platforms and performing Analysis on them.
  • Built efficient crawlers for platforms like Flipkart, Amazon, YouTube, Facebook, and various blogs to scrape data from them and analyze brand and product performance using python and selenium.
  • Improved the team's efficiency by automating essential sections of daily, weekly, and monthly reports.

July 2017 - Aug 2017
Spoyl Tech. Solutions

Data Analyst Intern

  • Worked closely with the Acquisition team to increase the Daily Active Users on the mobile application on daily basis. 
  • Enabled the team to run cost-effective ads and campaigns which proved pivotal in acquisition for the Digital Marketing team to get more installs by running various ads and campaigns on Facebook.

Data Science Tools

Python

90%

SQL

95%

Advanced Excel For Data Analysis

100%

Tableau

95%

R

85%

Data Science Skills

Reporting

100%

Analytics

95%

Business Intelligence

95%

Data Collection (Web Scraping/API)

95%

Data Cleaning

95%

Data Wrangling

90%

Statistics

80%

Predictive Analytics

70%

Image Classification

70%

Databases Worked On

AWS RDS

90%

Google Cloud SQL

80%

MySQL

95%

Big DataTools

Google Big Query

85%

Spark

60%

Extra Technical Skills

Mentoring For Data Science

100%

YouTube Channel

95%

Blogging

95%

Leadership Skills

Decisiveness

95%

Integrity

100%

Problem Solving

90%

Mentorship

95%

Dependability

100%

Communication Skills

90%

Business Acumen

90%