Data Python
Resume:
DEEPTI GOYAL
Sr. Data Scientist
CONTACT
******.*****@*****.***
San Jose, CA
www.linkedin.com/in/deeptigoyal16/
https://github.com/DeeptiAgl
https://medium.com/@deepti.agl16
PROFILE
Data Science enthusiast with 7 years of
experience in developing data science
solutions for Marketing, Finance, Retail and
Real Estate industries. Proficient in
Statistics, Python, Machine Learning/Deep
Learning, SQL, Tableau and PowerBI
EDUCATION
2016 - 2017
GEORGIA STATE UNIVERSITY [ ATLANTA]
Master’s in Data Science
2007 - 2011
APJ Abdul Kalam University [ INDIA]
BTech in Computer Engineering
MANAGEMENT SKILLS
Agile, Waterfall
Project and Team Management
JIRA, Git, Excel, PowerPoint
SKILLS
Statistics and Probability
Data Visualization
Machine Learning
Time Series Modelling
Database management
Advanced Analytics
Data warehousing (ETL, Snowflake)
Big data (Hadoop, Spark)
Python, Tableau, Power BI, SQL,
KQL, R, Spark, Databricks,
Microsoft Azure
Web scraping
EXPERIENCE
February 2019 – Present
Sr. Data Scientist Ernst & Young San Jose
• Predicted the revenue generated by each retail store based on different internal vs external factors (such as COVID risk score, temperature, S&P) using multi-variate time Series modeling techniques like CAGR, Monte Carlo simulations, FbProphet, Arima, Regression, Random-Forest, XGBoost and Stacking.
• Provided store segmentation using advance clustering methods such as K-means to identify the performance of the stores. This analysis helped in deciding which store to close and open based on their profitability and led to $5.5M profit to the client.
• Predicted the Merger and Acquisition rate for different using advance time-series modelling: SARIMAX, FbProphet
• Built visualizations and dashboards in PowerBI and Tableau for providing insights.
• Build data pipelines using Airflow, Snowflake and Python.
• Mentored and worked closely with junior data scientist in the team May 2017 – Oct 2018
Data Scientist Cardlytics Atlanta
• Provided customer Segmentation based on their historical pattern using ML algorithms such as K-means Clustering for performing Holiday Analysis.
• Analyzed Customer retention for different advertisers in the past 6 months by determining their pattern based on seasonality and trend factors. Also, analyzed the percentage shift in customers from one advertiser to its competitor to help AT&T retain 12% customers.
• Forecasted customer subscription revenue for multiple advertiser such as Comcast, Hulu, AT&T, Netflix. by using advanced multi-variate time series modelling algorithms such as ARIMA, Fbprophet, Regression.
• Forecasted mid-campaign outcome using different ML algorithms to modify campaigns based on revenue, redemptions and impressions to increase total redemption by 7%.
• Forecasted likeliness of customers to make a transaction based on Social Influencers (Social Network Analysis) using KNN and Random forest which provided 14% lift in the transactions.
• Performed A/B testing to estimate the lift in number of redemptions. Nov 2011 – Jan 2016
Data Scientist Tata Consultancy Services India
• Predicted the average waiting time of the vessel and the cargo. Identified KPI’s for analyzing data and optimizing it for reducing cargo loading and unloading time
• Predicted the maintenance time of the machinery used for cargo loading and unloading and sending notifications/alerts to the team.
• Performed Data Modelling for Italy train reservation module. In-depth analysis of number and volume of trips.
TECHNICAL SKILLS
• Tools and Languages: Python (Pandas, NumPy, Scikit-learn, Matplotlib, SciPy, H2O, Plotly), R, Tableau, Excel, Databricks, Microsoft Azure cloud, Spark, Keras, TensorFlow, Apache Spark, Vertica, Snowflake, SQL, Oracle, MYSQL, Hadoop, Airflow.
• Machine Learning Algorithms: Linear and Logistic Regression, Decision Trees, Random Forest, Bagging & Boosting, K-means Clustering, KNN, SVM, MLP and Keras Classifier
(Deep Learning), Neural Network, Image Processing, Social Network Analysis, Text Analytics, Time series modelling, FbProphet, ARIMA.
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