Data Analyst

Python: SciKit-learn, Numpy, Pandas, Matplotlib, Seaborn, Scipy | Computer Vision | Deep Learning, Tensorflow, Keras, OpenCV, Architectures - ResNet, VGGNet | Model Deployment | Flask, Docker | PowerApps, PowerBI |Machine Learning Algorithms | CNN, LSTM, Regression, Classification, Naive Bayes, K-means Clustering, PCA | SQL | Product Development

A beginner level Data Scientist with knowledge in Python, SQL, R, Tableau, PowerBI, Pyspark, Machine Learning, Tensorflow, Google Vertex AI, MSOffice and AdobeXD.

A well performed undergraduate with several internship experiences and skills in SSIS, SSRS, SSAS, Power BI, Oracle, SQL, R Studio, Jersey and JAX-RS, Java, SQL, Python, JavaScript, C, C++, and R.

A beginner level Data Analyst who has 06 months of industry-level working experience with data analysis, and machine learning model development.

Statistical Data Analysis, Python, MySQL, Microsoft Power BI, Minitab, R Statistical Software

An experienced Data Analyst in data mining, modeling, profiling, forecasting, reporting, warehousing, financial modeling, project management and digging into complex data sets while producing insightful, data-driven strategic results and recommendations.

A Data Analyst with advanced Excel, SQL, Tableau skills and proficiency in analyzing sales figures, logistics and data.

Python, Google Data Studio, Microsoft PowerBI, SQL, Microsoft Office, Matlab & Simulink

SQL, MySQL, PostgreSQL, Mongo DB, RDB, CloudComputing, AWS, EC2, X2Go, Putty, Python, TensorFlow, Debugging,Collaboration, Github, Git, APIs, Flask, GraphQL, Continuous Integration, Machine Learning

Subjects: Data Interpretation, Decision Making, Economy, Science & Technology, International Relations, & other General Studies