About Me
Overall 3years of experiences in analysis,design,research,implementation and extracting from heterogeneous sources of Data, transforming and loading (ETL) process using SQL Server Integration services (SSIS with differen…
Overall 3years of experiences in analysis,design,research,implementation and extracting from heterogeneous sources of Data, transforming and loading (ETL) process using SQL Server Integration services (SSIS with different Control Flow Tasks and Data Flow Transformations.
Good knowledge with AWS cloud services with infrastructure as a code (IaaC) using
https://www.linkedin.com/in/sarad
cloudformation (S3, Lambda, ECS, Glue, Athena/Red-shift, SNS events etc), Identity and
Access Management (IAM Roles).
Skilled in database technology of Oracle 21c DDL,DML, DRL or DQL,TCL,DCL, aggregate
function, filtering data, combining data.
Having good experience in designing Excel reports and using different connectivity modes
and getting data for modelling.
Python Programming experience with different python packages like Numpy, Pandas,
Scikit-learn .
Knowledge of database objects including tables, indexes, views and statistics.
Analyze the source map documents and creating packages to move the data from
different sources to Destination.
In depth knowledge of data mining techniques and machine learning algorithms such as
Linear Regression, Logistic Regression, k-NN, Classification, K-means Clustering,
Gradient Boosting, Random Forests, Naïve Bayes, Neural Network. Deep Learning: CNN,
LSTM, Reinforcement Learning.
Experienced in requirement gathering, analysis, efforts and estimations and apply
design thinking during requirement gathering phase to achieve future business goals.
Data analyzing, Data Scrapping and Data wrangling, Data visualization using Tableau.
various AI, Machine Learning & Deep Learning methodologies, cloud technologies
expertise in AWS and other web technologies.
Understanding client requirements and building dashboards as per the requirements.
Developing reports and dashboards with multiple data sources like SQL Server,
Oracle21c, and MS Excel.
Demonstrated strong communication skills in collaboration with business partners
throughout the software development lifecycle and data science life cycle development.
Experience
Data Analyst
Collecting the data research and development as per company requirements . Basically that was Engineering and construction company.they were providing the small amount of data and we all were doing the planning for client requirements.