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 of undergraduate from GGSIPU with a major in Information Technology.
Experience
June 2022 - March 2023
Amazon.com
Data Scientist
** Impacted by the Layoffs**
- Improved search functionality for an internal Amazon tool serving over 38,000 employees by transitioning from basic keyword
search to semantic search using Latent Semantic Indexing (LSI) and TF-IDF. Optimized the LSI model through hyperparameter tuning and employed SVD for dimensionality reduction. Enhanced search accuracy and efficiency by implementing a bagging model combining two different models and ranking the results.
- Developed a user-friendly suite of Machine Learning and Natural Language Processing tools, empowering non-technical customers to harness the power of these technologies independently. Utilized Python Dash to build a web application for a team, providing support for their specific requirements and facilitating seamless use of the developed tools.
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
- Collaborated with General Mills Finance Team to transform their volume tracking and profit-loss analysis methods by developing intelligent Tableau dashboards. These dashboards replaced traditional Excel-based methods, enabling a more streamlined and efficient decision-making process. Worked on multiple dashboards tailored to various business needs, facilitating seamless integration of data-driven insights.
- Partnered with Mondelez Global Supply Chain Team to expedite the insight generation process for key decision-makers. This involved understanding the data landscape, identifying critical KPIs, and integrating them into insightful Tableau dashboards tailored to C-suite executives and other team members. Received recognition from Mondelez's global CEO for the exceptional quality and impact of these dashboards on the company's decision-making processes.
- Actively contributed to internal Fractal Analytics projects, utilizing Python skills to assist multiple teams with data automation. Tasks included sourcing data from various sources, creating new metrics, and preparing datasets for seamless integration into dashboards. This involvement furthered the company's ability to provide data-driven insights and support for its clients.
March 2019 - Jan 2021
Udacity
Data Science Mentor
Mentored a cohort of students in the Business Analytics and Predictive Analytics Nanodegree programs, facilitating their successful completion of the courses. Conducted weekly YouTube live webinars to teach pertinent topics and provided feedback by reviewing over 1,000 projects throughout the duration of the courses.
Oct 2018 - Feb 2019
FabHotels
Business Intelligence Analyst
- Collaborated with the founding team and reported directly to the CMO, focusing on reducing the no-show and overbooking issues within the company. Initiated a thorough understanding of the business and existing solutions, followed by leveraging available data to build a multi-regression scoring model. Utilized feature engineering to identify the most relevant attributes for the problem, ranked customers accordingly, and implemented manual and automated calling processes to confirm or cancel bookings. This comprehensive approach led to a significant reduction in no-show rates from 25% to 13% within just a few months, minimizing revenue loss by over $1 million in a month due to inventory issues.
- Assisted cluster managers in detecting fraudulent activities by hoteliers by developing Python scripts to identify patterns of multiple bookings, last-minute cancellations, and no-shows. This proactive approach helped the company maintain its integrity and mitigate potential revenue losses due to fraudulent practices.
Supported cluster managers in making informed pricing decisions for their hotels by gathering competitive intelligence, flight price data, and event details from various sources. This data-driven approach enabled cluster managers to optimize pricing strategies during peak demand periods and maximize revenue generation opportunities.
Nov 2017 - July 2018
OneDirect
Business/Data Analyst
- Managed multiple clients accounts to improve their online reputation and support data-driven decision-making by generating analytical reports that incorporated data from various social media platforms. Developed efficient web crawlers to gather and analyze brand and product performance data.
- Conducted comparative analyses of client products against competitors, performed market research to evaluate product performance, and assessed the reach and effectiveness of client marketing campaigns. Introduced web scraping techniques to the team, creating Python scripts to collect data from multiple online sources, which enhanced the quality of our analysis and reports. This innovation led to increased client satisfaction, resulting in more projects and a positive impact on the company's revenue.
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%