• Engineered over 100 GBs of JSON customer utterances NLP data with its corresponding attributes using PySpark and Hive.

• Establishing correlation between Clusters of Problem Descriptions and Problem Resolutions using Correlation Coefficient and visualizing the same in Heat Map of Tableau.

• Automated BLAST output extraction of mirocRNAs for analysis from web using MECHANIZE and BEAUTIFUL SOUP packages

• Building Geometric and Binomial Distribution Probability Models for POS Big Data in Python and deploying them on Hadoop framework.

• Aggregating data using HIVE SQL and generating exploratory visualizations in Tableau for SAP/ Salesforce CRM data.

• Performed statistical analysis for clinical trials using R packages

• Engineered the data and built predictive models for an Oil and Gas Company. Used predictive modeling in R with techniques- H2O, XGBoost, Random Forest, Gradient Boosting, Bagging, Random GLM and Principal Component Regression.

• Automated Log Analytics using Python & Shell Scripts on Linux and visualized them in Kibana.

• Web-enabled the BLAST tool developed by U.S. National Center for Biotechnology Information (NCBI) using BIOPYTHON

• Shell scripted in Linux for data mining, statistical analysis and transforming of DNA sequence data, using Python

• Performed ANOVA for analyzing variance between proteome and nucleotide genotypes.

• Independently developed an interactive website for multi-omics data searching (PEANUTOMICS.ORG) on Unix Server, using the Agile methodology in PHP, CSS, HTML5, Bootstrap and MySQL. The project was a collaboration between United States Department of Agriculture(USDA) and 3 universities.

• Used Association Rule Learning technique in Data Mining (R package ARULES) to analyze clinical data

• Worked on clustering to categorize clinical data. Used R packages RPART, RANDOM FOREST and CARET to rank the variables and interpret the dosage results using definitive set of input variables

• Provided training for students of Bioinformatics in Python

Larsen & Toubro InfoTech Internal OD ABAP Factory

• Inducted as part of Larsen & Toubro InfoTech Internal OD ABAP Factory in the Analysis Team due to higher level of understanding of ABAP and other technologies

• Solved problems pertaining to fire-fighting crisis situations in Production environment relevant to HCM, FI, SD and MM

• Built programs having customized behavior of SAP functionality that matched with client business processes

• Constructed a code which exports the output of ALV Grid to SAP BW system for Business Intelligence for higher management decision along with statistical analysis

• Implemented a code which reads a file from FTP via SAP PI and sends this file to R/3. The incoming file is then feed to a BAPI Posting Function Module. Depending upon the success or failure of the Function Module, logs are written onto a different FTP

• Created a customized BDC program for reading a file from FTP and processing it in R/3 by interfacing with SAP PI

• Extracted, cleaned and transformed data from Remote FTP using Python scripts and sent the data to R/3 SAP Master tables.

• Worked on a Smartform for Purchase Order in handling dynamic tax conditions

• Designed a Module Pool Program for FI Hedge Functionality having Table Controls

• Created a White Paper for consumption of Java Web Service in SAP ABAP for fetching and transferring data for L&T InfoTech. The data from a table was sent to Portal for processing and the result of processing was returned back to R/3

• Designed a ALV Grid report which gets exported to Business Intelligence (BI) server in SAP using OOPs approach

• Accomplished an SPAU and SPDD EHP Upgrade

• Simultaneously worked on a Proof Of Concept(POC) for Indian Army in the technology of Web Dynpro ABAP for SAP portal

• Customized attendance self-regularization for ESS/MSS in HR system for the client, using automated Workflows in R/3 & Portal

SAP Upgrade of Industrial Automation Company

• Assessed the SAP Upgrade from ECC 5.0 to ECC 6.0 EHP 6 version and performed the Impact Analysis for the Upgrade using an Upgrade tool

• The project was lauded by the SAP Application Director for the timely completion within the estimated budget