Resume
Education
Jan 2021 - May 2022
MS in Applied Data Analytics
Boston University | GPA:3.88
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
June 2022 - Till Date
Amazon.com
Data Scientist
- Implemented machine learning models to improve the search functionality on internal tool serving over 38,000 employees from basic keyword search to semantic search, helping org members find relevant information and save time.
• Developing a user-friendly suite of Machine Learning and Natural Language Processing tools to empower non-technical customers to harness the power of these technologies independently.
March 2021 - May 2022
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%