Data Scientist
Resume:
SUSHMA RAO
PROFESSIONAL SUMMARY
Dedicated and detail-oriented Data Scientist with significant data
science internship experience with excellent communication and interpersonal abilities. Highly skilled in using predictive data modelling and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. EXPERIENCE
Data Scientist 12/2022 -present
DataInception
Fiverr and Upwork Stock Market Analysis (2019-2022)
• The Stock Market Analysis of Fiverr and Upwork was done by collecting the data available on Yahoo Finance.
• The data sets were downloaded, the data included the open price, close price, volume etc. from Quarter 4 2019 to October 2022.
• The Data was cleaned and processed in jupyter notebook using Python, models were built using Machine learning algorithms like Random Forest and LSTM neural networks. The best possible model was built.
• Stock Market analysis was made based on the above Analysis.
• Visualizations are done using both python and Tableau. Data Scientist - Intern, 04/2022 – 11/2022
CREWASIS, NY
• Assisted and contributed as Team lead, while handling real- time projects with clients, which could increase their customers by 10-20% and overall annual sales.
• Took on an increasing amount of responsibility, not only by picking up on my technical skills, but also event handling and Research.
• Developed algorithms based on deep-dive statistical research and predictive modeling that were used to strengthen relationships and personalize interactions with client companies
• Developed ML models based on client requirements to analyze product performance and provide statistical reports
• Facilitated efficient news and social media data mining from Meltwater
(SaaS platform for data monitoring), Statista.
Sanford, Florida 32771
***.**********@*****.***
https://www.linkedin.com/in/su
shma-rao-45756722b/
https://github.com/raosushma2
022
EDUCATION
POST-GRADUATION CERTIFICATION,
DATA SCIENCE AND BUSINESS
ANALYTICS, 04/2022
UNIVERSITY OF TEXAS AT AUSTIN -
AUSTIN, TX
BACHELOR OF ENGINEERING,
ELECTRONICS AND COMMUNICATIONS
ENGINEERING, 04/2006
VISVESVARAYA TECHNOLOGICAL
UNIVERSITY - BENGALURU, INDIA
SKILLS
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• Programming Languages: Python,
SQL
• AWS Cloud technical Essentials
• Visualization Tools: Microsoft
Power BI, Tableau
• Python Libraries: NumPy, Pandas,
Matplotlib, seaborn, scikit learn
• Machine Learning Algorithms
• Time Series Analysis
• Supervised and mentored 7 data scientists in ML modeling and provided constructive feedback.
• Conducted workload assessments, devised new operational processes that led to a significant increase in productivity. ACCOMPLISHMENTS
• Worked as a lead data Scientist for our clients, PURA VIDA BRACELETS (merged with VERA BRADLEY), to draw insights from the data and help them solve their business concerns
• Pura Vida wanted to expand its business from the San Diego Surfer community (GEN Z) to a larger Audience, which can in turn increase their revenue
• Data extraction from Shopify.
• Data Cleaning and Exploratory Data Analysis using Python
• Data Visualizations using Tableau
• Time Series Analysis of Sales Annually, Quarterly, Monthly and Weekly Predictive analysis of different products using Machine Learning
• Social Media Insights using Meltwater to understand the latest Shopping Trends of GEN Z and other age groups which can help to expand their business
PROJECTS: UNNA BAKERY
• Unna Bakery is a Swedish cookie company, their business problem was to improve their sales and understand what factors were favor to them and what were not
• Worked on the data Available on their internal Database to draw insights
• Used Python to clean the data, missing value treatment and exploratory data analysis both Univariate and Bivariate
• Used Tableau to do the Visualizations
• Time series analysis of Sales
• Used Linear regression, decision tree regressor, random forest regressor, XG Boost for modeling
• PROJECTS done during Certification:
• INN Hotels Booking Cancellation Analysis [Data Cleaning and Exploratory Data Analysis using Python, Used Logistic Regression, Decision Tree for predictive modeling]:
• Easy Visa (Machine Learning based solution for VISA approvals)
[Bagging and Boosting Algorithms]
• RENEWIND (Renewable energy conservation and cost maintenance)
-Machine Learning Project using Ensemble Techniques and pipelines
• Regression Algorithms
• Naive Bayes
• Classification Algorithms
• Statistical Analysis
• Gradient Boosting
• Unsupervised Learning
CERTIFICATIONSS
AWS Cloud Technical Essentials
SQL for Data Science
Python- Data Camp
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