I am an aspiring data science enthusiast with strong data-driven analytics, data visualizations, and statistics. Excellent at the understanding of business operations, analytical tools for effective analyses of data. Proficient knowledge in programming languages including Python and SQL. Ready to play an active role in making predictive models and analyze data for the company in a highly fluid environment. Data Science graduate student from the University of North Texas, looking for full-time entry-level opportunities related to data science. I have finished coursework in Data Mining, Data Visualization and Communication, Enterprise Applications for Business Intelligence, Fundamentals of Data Analytics Tools and Techniques, Information Retrieval, Data Analysis, and Knowledge Discovery.
My skills set include
• Programming: Python (advanced)
• Database: MySQL, SQL Server
• Visualization: Tableau
• Operating System: Linux, Windows, macOS
• Frameworks, and Other Technical Skills: Excel, PowerPoint, Word, Jupyter Notebook, MySQL, SQL Server.
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Experience
Data Scientist | Siri Innovations, Hyderabad, India May 2018- Dec 2018: Accumulated all the information and performed information preprocessing, interpreting, examining the customer's recorded raw information utilizing SQL and python. Used pattern recognition, predictive analytics to develop machine learning models such as SVM, Decision trees, Logistic regression to help business choices. Created Visualizations, interactive dashboards in Tableau to give business bits of knowledge.
• Data Analyst | Makers of Milkshakes, Hyderabad, India Oct 2017- April 2018: Recover information to perform descriptive analytics on sales information utilizing SQL, Python to evaluate enhancements and growth opportunities. Using web scraping procedures to separate information from different online media and performed analysis. Made custom dashboards and Visualizations in Tableau to help business choices.
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Projects
Office Data Analysis: Achieved the breakdown between the male and female employees working in the company each year and also achieved the number of male managers to the number of female managers from different departments for each year in certain time frames. Later, Compared the average salary of female versus male employees in the entire company to see that per each department. Achieved the average male and female salary per department within a certain salary range. Finally, created a beautiful
dashboard using Tableau.
Technology: MySQL, Tableau
Aviation Database System: Created an airline reservation system that provides a platform for traveler so that he can request all flight information regarding cost, time, etc. and book flights as per their journey dates. The Database holds this information as well as the latest pricing, schedules, and availability information for the airlines. The customers can utilize this system to make a reservation,
modify the reservations or cancel a reservation.
Technology: MySQL
House Price prediction model: A prediction model was designed based on the data of houses sold in a city, this helped to predict the price of the house depending on different attributes like location and, etc.
Technology: Python
Credit Card Fraud Detection: The dataset was unbalanced I had to balance it first, feature selection, dimensionality reduction was performed before building models- Regression, classification, clustering
and gain accuracy with 80%.
Technology: Python