Data Analyst
Location : Indore, India
Experience : 3 Year
Rate: $8 / Hourly
Availability : 2 Week
Work From : Any
Category : Information Technology & Services
Results-oriented data science professional with 3 years of experience in big data and business data analysis. Skilled in data extraction, optimizing pipelines, leading data migration projects, reporting, and visualization using Power BI and Tableau.Proficient in Python, SQL, R, and ML/DL algorithms and its libraries.
SKILLS
ML Algorithms: Linear and Logistic Regression, SGD, Decision Tree, Random Forest Regressor, KNN
Software: Ms Office (Word, Excel, Power Point, Access), MATLAB, Flask, Beautiful Soup, Git
Libraries: Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, TensorFlow, Keras, ANN, NLP
IDE: Visual Studio, Jupyter Notebook, PyCharm, IDLE, GitHub
Implementing;
1) Programming Language:
SQL, Python, R, Machine Learning (ML), Deep Learning (DL)
2) Relational Databases:
MS SQL, PostgreSQL, MySQL, MS Access, MongoDB, Google Big Query
3) Tools:
Power Bi (Desktop and Service), TABLEAU, SSMS, SSIS, SSAS, SSRS, AGILE, SDLC
• Developed Python-based ETL processes using pandas and SSIS to export Excel reports to SQL Server for daily POWER BI reporting, including data transformation and manipulation.
• Consulted clients on optimal SQL Server reporting architecture, implementing custom calculations using SQL Server Views and utilizing Python for advanced data analysis and statistical modeling.
• Created Power BI reports for daily and historical inventory analysis, incorporated Python for data preprocessing, feature engineering, and machine learning algorithms.
• Implemented user access management, row-level security, KT to stake holders and scheduled report subscriptions, ensuring efficient operations and enhanced data security.
• Conducted Power BI admin tasks for managing the users, its data gateways and stakeholders.
• Performed in-depth data analysis using advanced SQL queries; employed Python for data processing, cleansing, and
feature engineering and managed visual reporting using tableau.
• Power BI reports with interactive visualizations and dashboard, scheduled refreshes and updates using SSIS and
MSSQL server. Also worked on Python libraries Pandas, NumPy for data manipulation, analysis, and visualization.
• Developed a Python-based predictive model for a client, to predict diseases of customers based on their symptoms.
• Utilized Python to create a predictive model that accurately estimates house prices by leveraging real estate data.
• Implemented a Python script using Beautiful Soup and Selenium to construct a data extraction model. This model
efficiently retrieves job data from various websites such as LinkedIn and Indeed.
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