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    
  • Analytics with R                      
  • Analysis Of Algorithms   

2nd Semester (Fall'21)      | Overall GPA: 3.77

  • Machine Learning             
  • Data Analysis and Visualization with R            
  • Web Analytics and Mining 

3rd Semester (Spring'22)      | Overall GPA: ---

  • Directed Study (Deep Learning Research)             
  • Data Mining 

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.
  • 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.

June 2019 - Oct 2020
Fractal Analytics

Data Science Consultant

  • Automated the data pre-processing task using multiple python packages like Pandas, NumPy, etc.
  • Accelerated the Supply Chain insight generation process for the team and C-level executives of Mondelez to make better business decisions by building insightful dashboards using Tableau with important KPIs and was recognized by the global CEO for my work.
  • Transformed the Volume and Profit-Loss tracking method for the finance team of General Mills, North America region by building detailed analytical Tableau Dashboards to improve and accelerate the decision-making process.

March 2019 - Jan 2021
Udacity

Data Science Mentor

  • Helped Students learn Feature Engineering, Statistical Analysis, and dimensionality reduction on a huge dataset for choosing relevant variables and perform Data Analysis and Visual Analysis using Python packages like Pandas, NumPy, Matplotlib, Seaborn, sci-kit learn, and Tableau/Power BI.
  • Reviewed over 1000 Projects and assignments for students provided them with feedback and answered the questions related to Data Science asked by the students on the knowledge forum of Udacity.
  • Mentored the cohort of 40 students for Business Analyst and Predictive Analytics for Business Nanodegree’s in the completion of the course by conducting weekly YouTube live webinars and teaching relevant topics.

Oct 2018 - Feb 2019
FabHotels

Business Intelligence Analyst

  • Managed the Analytics for the inventory department including overbooking, last-minute cancellations, and no-show issues. Decreased the revenue loss from inventory drastically by reducing the no-show percentage by over 9% using analytics, feature engineering, A/B testing, and by making IVR and Manual calling process more efficient.
  • Improved the cluster manager's decision-making process by providing critical insights from the data using Python.
  • Identified frauds by hoteliers and customers and automated several insightful reports for multiple teams using SQL, Python, Matplotlib, and Tableau.

Nov 2017 - July 2018
OneDirect

Business/Data Analyst

  • Managed multiple clients to improve their online reputation and in better decision making through the analytical reports generated using data from multiple social media platforms.
  • Built efficient crawlers for multiple social media platforms, online stores, and blogs to scrape data and analyze brands and product performance using Python, Selenium, Pandas, and NumPy.
  • Performed product analysis for the clients using the tweets, posts, reviews from customers on the client’s product and helped them understand the positive and negative sentiments of the customers in a better way.

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

95%

SQL

95%

Advanced Excel For Data Analysis

100%

Tableau

95%

R

90%

Adobe Analytics

75%

Data Science Skills

Data Collection (Web Scraping/API)

95%

Data Pre-Processing

95%

Statistical Analysis

90%

Feature Engineering

90%

Exploratory Data Analysis

95%

Business Intelligence

95%

Reporting

100%

Predictive Analytics

95%

Machine Learning

95%

Deep Learning

95%

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

95%