DEEPTI GOYAL

Sr. Data Scientist

CONTACT

adfzrm@r.postjobfree.com

470-***-****

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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