Shrilesh kathe 2017
- 1. Shrilesh Kathe Advanced Analytics Education Bachelor of Engineering in Electronics and Telecommunication from Ramrao Adik Institute of Technology, Mumbai University. Technical skills Apache Spark: Good understanding of the parallel processing architecture of Spark. Distributing the dataset across the nodes to leverage on distributed computing using spark RDD, Data Frame etc. Designing the linage graph for optimal execution of the transformations. Comfortable developing the driver program using Python, Java and Scala. Building Dstreams from live streaming data and 24/7 applications using Spark Streaming. Java: In depth knowledge of core Java programming. Very good understanding of OOPs concepts like polymorphism, inheritance, multithreading, exception handling, etc. Comfortable with Eclipse JDK tool kit. Analytics skills: Prepared linear regression models from various datasets for prediction and inference in R. Checking model accuracy in prediction by taking into account bias, variance and mean squared error (MSE). Applied nPath function on a given weblog to recognize various patterns in the data and visualized the data using sankey chart in Teradata App Center. Certification IBM certified developer Apache Spark 1.6 Oracle Certified Professional Java SE 6 Programmer. Page: 1
- 2. Project: WEST BI NIKE CWA Implementation. Role : Offshore ETL developer. Client : Nike. Period : From Oct-2016 till date. Industry : Web Analytics. Project Name : WEST BI NIKE CWA Implementation Project Type : Development. Tools : SPARK SQL ,Python, HIVE Responsible for developing Generic ETL solution to capture web traffic data for different report suits in SPARK environment. Writing pyspark application to parse raw data, populate staging tables and store the refined data in partitioned tables using hive . Migration of current CWA solution to Apache Spark using PySpark. Development of Dynamic SQL for facilitating XML parsing and creation of logical functions in Python. Maintaining and updating useful documents for the project. Quality analysis and timely testing for the loaded data. Process orchestration and general development/troubleshooting on the solution. Remote Terminal Unit For LPG Filling Plant, HPCL, Chembur.(B.E Final year Project) The objective of the project was to connect the LPG refinery and the filling plant at HPCL Chembur. Remote Terminal Unit interfaces the setup and monitors the fluid flow and records the volume, temperature, density, etc. of the fluid flowing in the pipelines. This Remote Terminal Unit is developed using PLCs and SCADA. The RTU interfaces various components used at the plant like Servo Gauge, ROVs, MOVs, etc. to a centralized computer using an OFC(Optical Fiber Cable). Page: 2
- 3. Training Participated in TCS CodeVita 2015, an Online Coding competition and cleared the first round. It consisted of 5 questions where we had to build algorithms to tackle real life problems. The coding was done in Java. Attended a week’s training on Teradata Aster. Learned about Aster architecture of queen and worker nodes. Studied different SQL-MR functions like nPath, sessionize, nGram, etc. Completed 'Programming for Everybody', an online course in PYTHON offered by University Of Michigan on COURSERA with Distinction. Completed ‘An Introduction to Interactive Programming in Python’ an online course offered by RICE university on event driven programming in python. Developed various interactive games like Tic Tac Toe, Rock Paper Scissors Lizard Spock, Paddle, etc. Page: 3