MS in Data Analytics graduate with focus in Data Mining and Information Technology proficient in applied Data science methodologies, AI and large information examination utilizing R/SQL/Python/Tableau from University of Central Florida in the fields of Data Science/Analytics, and Artificial Intelligence.
Specialties:
• Programming: Python (numpy, pandas, sci-kit learn, seaborn, plotly, matplotlib, seaborn), R (data table, dplyr, ggplot), SQL.
• Databases / Distributed Systems: SQL Server, MapReduce, Hadoop, Spark, AWS.
• Tools / Framework: Tableau, GitHub, Jupyter Notebook, Anaconda, RStudio.
• Technological: Machine Learning (Regression, Classification, Clustering), Time Series Analysis, Business
Intelligence, Data Warehousing.
I am a highly curious and profoundly enthusiastic student with solid group working soul, looking for chances to propel my vocation in the Data Science space.
You can contact me @ priyankasanghvi@outlook.com
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Experience
Data Analyst, Southern States Toyota, Florida, United States January 2020 – May 2020
• Examine and Analyze the root cause of Forklift’s damage to increase productivity achieving 15% more accurate prediction of performance than previous 5 years .
• Design a Categorization Algorithm that works with Power BI and used NLP techniques like tokenization, along with Regular Expressions.
• Enhance the current algorithm using Machine Learning and provide better insights of visualizations.
• Proposed solutions to improve forklift efficiencies and thus reduce the damages.
Data Analyst, Maxim Tours, Florida, United States January 2020 – May 2020
• Optimized data collection procedures and generated reports on weekly, monthly and quarterly basis.
• Reduced the cleaning time by 22% and making the data ready for Clients.
• Presented the findings and data to team in order to improve strategies and operations.
Graduate Teaching Assistant, University of Central Florida August 2019 – May 2020
• Performed administrative and clerical work, corrected and graded exam papers and prepared progress reports of students.
• Maintained professional relationships with about 80 students on average every semester in Java.
Marketing Data Analyst, Global Colliance, Gujarat, India November 2016 - December 2018
• Design, Execute and deliver marketing performance reports, dashboards and analysis in response to client needs.
• Generated visually impactful dashboards and reports in Tableau and Excel using Pivot Tables, VLOOKUP and other functions.
• Conduct analysis and normalized the database, thus decreasing the redundancy by 11%.
• Provide recommendations for the structure and use of marketing data and project management for recommendations across departments.
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Projects
End-to-End Multi Class Breed Classification (Python, TensorFlow, Keras, NumPy) March 2020 – April 2020
• Implemented an end-to end multi class image classifier of a Dog’s breed using TensorFlow 2.x and TensorFlow Hub having 120 different breeds that worked best for Deep learning/ Transfer Learning.
• Prepared the data batches and tried fitting CNN models to it (4 cases) best suited for the results required.
• Compared various models and got an 80% accuracy on each model thereby fitting approx. 10,000 images and predicting the same number.