Data Scientist/Python/SQL Server/SSIS/SSRS/ETL Developer Resume

SUMMARY

I am a season Information Technology professional with deep understanding of the software development life cycle (SDLC) including requirement analysis, requirement gathering, design, development, implementation and testing and deployment, with several years of experience as a Data Scientist, python developer and Microsoft Business Intelligence Developer.
A well - organized, goal-oriented, highly motivated effective team member with excellent analytical, troubleshooting, and problem-solving skills and ability to quickly adapt into the given role and deliver results early.

TECHNICAL SKILLS

Data Science
Python
web scraping
Python Libraries such Pandas
NumPy and Plotly
ETL. Power BI. Data mining. Data modeling. Data analysis. Organized.
Problem solver. Attention to detail and quality. Quick learner. Calm under pressure.
Excellent time management skills.
Different domain knowledge. Critical thinker.

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist/Python/SQL Server/SSIS/SSRS/ETL Developer

Responsibilities:

Assisted in building data science curriculum.
Taught python for data science.
Built, deployed and maintained complex python codes for automation.
Used python tools to cleaned, massaged data for Exploratory Data Analysis (EDA).
Extracted data from APIs.
Scraped the web to get data of interest.
Built insightful graphs with tools like Plotly, Matplotlib and Seaborn
Acquired Data from various sources using pandas, and scraping tools like scrapy and BeautifulSoup
Did calculations on data using NumPy.
Developed, deployed and maintained python scripts for ETL processes.
Created and maintained various database objects; Tables, views, indexes, functions, Triggers, complex store procedure.
Improved performance of database by creating clustered and non-clustered index and by optimizing T-SQL statement using SQL profiler.
Involved in generating and maintaining SQL script.
Extracted data from multiple sources including (Excel, OLTP etc.).
Used SSIS transformation multicast transformation to load data into multiple target tables simultaneously.
Scheduled jobs for executing stored SSIS package which were developed to update the database on Daily basis using SQL Server Agent.
Developed various types of complex reports like tables, matrix, Drill Down, Drill Through, Gauges, Pie Chart, Bar Chart, Sub-Reports.
Deployed reports to report manager and troubleshoot for any error occurring during execution.
Wrote SQL queries and stored procedures to generate data for reports.
Developing OLAP cubes by identifying tables (fact and dimension), Data Source and Data Source Views, attributes and dimension members using SQL Server Analysis Services (SSAS)
Follow Agile Methodology to keep track of projects and maintaining schedule by conducting daily scrums and bi-weekly sprints

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