Jitendra Patel
Skilled in Java and EDI Developer with 5+ years of experience in designing and implementing robust integration solutions. Proficient in EDI standards and frameworks, with hands-on experience in developing Java-based applications.
Strong SQL and Data analysis skills with a proven ability to manage databases, optimizing queries and ensure data integrity. Adept at working in agile environment and collaborating with cross-functional teams to deliver high quality software solutions.
Experience
Java Consultant
Capgemini Technology Services
Mumbai, India
EDI Technical and IBM Sterling Integrator
- Skilled in EDI and IBM SI along with Java libraries and SQL scripting to develop robust, automated solutions for clients. Proficient in working with various EDI ANSI X12 protocols such as 850, 855, 856, 810, and 997, streamlining critical business transactions. Successfully implemented end-to-end automation using BPML, ensuring error-free and efficient operations with minimal manual intervention. Experience in communication setup techniques, vendor onboarding processes, and seamless FTP to SFTP migration to strengthen secure data exchanges. Expert in translating and transforming business documents through advanced mapping techniques within IBM SI, facilitating smooth integration, and supporting scalable, reliable business processes. (EDI Lead from Offshore team in project) Constraint Optimization (Nurse Scheduling)
- Developed Nurse Scheduling Application Using Choco-Solver (Java Library). Used Choco-Solver as constraint optimization, React JS as Frontend Technologies and Spring Boot, MySQL Database as Backend Technology.
Education
IIT (BHU), Varanasi
B-Tech
8.60
Smt JP Memorial
RBSE (12th)
86.60
Smt JP Memorial
RBSE (10th)
91.33
Skills
PythonSQLHTMLCSSJavaScriptWeb DevelopmentData ScienceEDIIBM Sterling IntegratorReactJS
Data Science Project
Cash-Out Recon
Automatically download the Excel file of User Payment Transaction data from Mail using imaplib module and Developed a Cashout Reconciliation for company transaction with the User Payment transaction using SQL and MongoDB query with all considerable logic for crosschecking the transaction details of every related user
Data Reconciliation (User Wallet Management)
I got an overall idea to detect Mismatch entries in wallet transactions using SQL DB and write a Python script with all considerable logic to find out all Mismatch entries and send automatically all entries to mail for verifying and manually checking using MIMEBase, MIMEMultipart, MIMEText
Affiliate Icrush
Write a python script for collecting all info (Registration date, Tournament gameplay, Texas'Holdem gameplay, Deposit money, Winning money, Rake) from different-different database table of those users who registered through a source of Icrush Affiliate firm
AI Chatbot
Detect abnormal behaviour in user chat messages and automated warning system for frauds, Applied Word2Vec, TF-IDF and Bag of words technologies after preprocessing the data and then applied Logistic Regression, Random-Forest and XGboost classifier for sentiment analysis classification using python.