Abraham Samuel

About the Candidate

Experienced software engineer with over 1.3 years of experience in software development
and maintenance. Excellent reputation for resolving problems, improving customer
satisfaction, and driving overall operational improvements, having experience in working
with Banking, insurance and Financial Enterprises in automating their Business Processes.
Skills
 HTML ,CSS,Bootstrap,XML,JavaScript
 Python,C#,C, Java
 Python Django,.NET,jQuery
 ML Models with Logistic and Linear
Regression
 Statistical modelling and testing
 Visualization
 REST API
 RPA : Automation Anywhere,UiPath
 Databases:SQL,MYSQL
 Troubleshooting ,Agile Development
 OCTAVE, MATLAB
 Team player
Certifications
 Automation Antwhere Professional Certification
 Automation Anywhere Master Certification
 UiPath Advanced RPA developer Certification
Work History
Software Engineer, 07/2019 to Current
Alzone Software – Technopark,Trivandrum, Kerala

Drove Robotic Process Automation operations for various businesses by developing 
and maintaining RPA bots ,thereby helping businesses to automate business processes 
efficiently and reduce their operational costs.
 Data visualization and implemented logistic regression ML model to predict machine 
part index values
 Researched, designed and implemented scalable automation RPA bot applications for 
identification, extraction, analysis, retrieval and indexing.
 Worked with project managers, developers, quality assurance and customers to resolve 
technical issues.
 Implemented new web applications in Django framework for employee management.
 Actively Participated in entire SDLC from engaging with Clients to shadowing
processes to create PDDs and develop and deploy projects.
 Had major engagements in BFSI projects.
Education
B.Tech: Electrical, Electronics And Communications Engineering, 07/2018
College Of Engineering Adoor (CUSAT University) - Adoor 
 Graduated with 8.0/10 CGPA (75%)
Additional Information
Projects Worked On:
 Purchase Order Automation (3/2020 – 7/2020):
The process involved extraction of data from various type of documents in various 
format shared by customers via email. The orders could be sent in any format such a 
xlsx, doc, pdf, html or txt which was the converted to a .xlsx file. Data from this file is 
extracted and the passed on a common template file. The data are extracted using a with 
the help extraction logic built using .NET framework. The hence acquired data would 
the be passed on to ODOO ERP system to generate the Invoice which would be emailed 
back to the customer.
 Invoice Generation Automation and Salesforce Automation (12/2019-2/2020)
Automated preparation of Programmatic ad revenue sheet, invoice and data entry tosalesforce for a leading US media company. The automation of Programmatic ad 
Revenue included two phases. First one was preparation of programmatic revenue 
sheet using the monthly report downloaded from various websites(28 Nos). In the 
second phase using the revenue sheet data the Journal and Invoice are prepared and 
entered to salesforce .The salesforce automation starts with collecting all the data from 
Programmatic journals and Invoices. The Collected data are then entered into Salesforce 
CRM by the bot. The Automating bot is designed to handle validation errors thrown by 
the CRM and move to the next batch of invoices and journals if any validation errors are 
met on the process flow.
 Banking Reconciliation (8/2019-11/2019)
Automated the Banking Reconciliation Process for a leading South Indian Media 
company. The task involved extraction of data for each month’s GST B2B data from 
GST portal. The extracted data is then placed on processing excel Template file. The 
second part of the process involves extraction of ledger data from Tally ERP. The ledger 
data for the month is exported as CSV and then the data is passed on to processing 
excel file. Then as third step the above obtained data are reconciled and a status is 
generated for each entry data. If both ledger data and Gst data are matching then status 
is marked as “matched”. While any mismatch is marked as “mismatch” in status along 
details of column where the mismatch happened. For those entries which are absent 
either of the records ,their status is marked as “missing data” along with the record 
where its missing. The report is sent to necessary stakeholder at the end of the 
automation.