Data Analyst Python
Resume:
SWARAJ RAJENDRA CHEDE
*************@*****.***
Summary:
Well-organized and talented data science professional seeking the position of Data Analyst. Adept at collecting, analyzing, and authenticating, and modeling data set to improve business operational productivity. Highly competent in using statistical analysis to pinpoint patterns and trends. Experience as a Data Analyst:
• Cloudstrats Data Analyst Intern September 2020
- Evaluated and analyzed with existing and new datasets to generate Quantitative fundamentals insights or model relevant metrics.
- Worked on predictive analytics use-cases using Python language.
- Identified the requirements of the Election Commission of India to analyze the data to determine different parameters associated with voters like
• Allotment of polling station (one station of all members of the family)
• Old polling stations vs. new polling stations mapping
• Correlation between data in terms of votes, electors age, gender, residence, party, party candidates.
• Voters turnout demographically
• Repeat candidates with mapping against party in previous elections
• Party performance considering geopolitical situations
• Winning vs. Expenditure analysis
Education:
• Full stack Data Science with Board Infinity March 20-Nov20
- It’s a robust data science program covering all the aspects of probability statistics and machine learning with practical applications.
- Learned how to program in popular Data science languages, properly manipulate Data, make predictions and how to use collaboration tools like SQL and Git databases.
• Bachelors in Electronics and Telecommunication Engineering (2019) Sinhgad Institute of Technology, Lonavala.
Analytics Projects:
Tableau dashboard with COVID dataset
Main objective
To help different government organization with the use of dynamic dashboards to provide meaningful insights that would help take actions about the pandemic.
- Involved in creating Dashboards, reports as needed using Tableau.
- Developed a robust tableau dashboard at a city wise and state wise level to cover critical information related to COVID.
- Used charts to analyze the data and give real time insights for live tracking and proactive use cases.
Boston house price prediction Project link
Main objective
Using different Machine Learning models and feature engineering to predict housing prices depending on different locations in Boston town.
- Analyzed customers data with the data points like (Crime rate, Income,
- Boston employment centers, accessibility to radial highways) to predict housing prices in Boston town.
- Exploratory Data Analysis and outlier treatment using Python
- Evaluation and predictions of model performance.
- Implemented predictive models by applying different algorithm like linear Regression, Random forest.
- After an iterative model approach, we concluded that Random Forest performed very well with R-square of almost 89.50%. Then Linear Regression also showed great results. Future Scope
In future, the models can be upgraded with some better techniques in terms of getting higher and better R-square and MAPE.
Professional Certificates:
• Data Science using Python 360 Digitmg certificate pdf Participated in a workshop on Data science using Python
• Decode <8.0> Hackathon with Board infinity
- Participated in BI's Hackathon series conducted by Board infinity where students from all over India took part in the series.
• Techno PHILIA 2018 (National Level Paper Presentation Competition) Secured third position at Techno Philia paper presentation, organized by MIT academy of Engineering in March 2018
Skills:
• Programming languages: Python, SQL
• Extensive knowledge in various reporting objects like Facts, Attributes, Hierarchies, Transformations, filters, prompts, Calculated fields, Sets, Groups, Parameters in Tableau. Platform and Misc.: Jupyter Notebook, Visual Studio
• Involved in Data Pre-processing Techniques for making the data useful for creating Machine Learning models.
• Highly creative, innovative, committed, intellectually curious with good communication and interpersonal skills.
Extra-Curricular Activities:
• Completed the Internshala Student Program 12 with Internshala
• Served as Co-Ordinator for IEEE SIT Student Branch
• Workshop on Google Ads Training for Beginners certificate.pdf
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