Summary
Overview
Work History
Education
Skills
Accomplishments
Interests
Disclaimer
Personal Information
Timeline
Generic
Archana Lakshmanan

Archana Lakshmanan

Data Scientist
Bangkok

Summary

I'm Archana Lakshmanan, Knowledgeable Data scientist with strong foundation in data analysis, machine learning, and statistical modeling. Successfully developed predictive models and data-driven solutions to optimize business performance. Demonstrated proficiency in Python and SQL, leveraging data visualization tools to communicate insights effectively.

Overview

12
12
years of professional experience
5
5
years of post-secondary education
4
4
Languages

Work History

Data Scientist

HydroNeo
Bangkok, Bangkok
02.2024 - Current
  • Developed and maintained dynamic Power BI dashboards for monitoring shrimp farm operations, including GSMA metrics, Ponds Under Management (PUM), and issue tracking linked to code commits, enabling real-time operational insights.

    Automated end-to-end data pipelines by writing robust Python ETL scripts to migrate data from MongoDB (NoSQL) to PostgreSQL, ensuring seamless daily refreshes and improved data integrity.

    Built and trained machine learning models to predict shrimp market prices, leveraging weather data, location data, and seasonal trends to support business and farmer-level decision-making.

    Designed and deployed image-based computer vision models (YOLO segmentation) to detect shrimp and calculate their length, contributing to accurate biomass estimation and harvest planning.

    Actively contributed to model evaluation, deployment workflows, and cross-functional collaboration with backend and product teams to integrate insights into the company’s digital ecosystem.

Ax4 Programmer

Aeroklas
Bangkok, Bangkok
07.2018 - 12.2019
  • Company Overview: Aeroklas was the manufacturing company.
  • Developed many Forms and Reports of the Purchases and sales that happened in the company.
  • Tested by self for the automation of the forms and reports for scheduling emails to be sent to the higher personnel for the reports of the sales and purchases made within the company.
  • Validated in the Dev and Testing environment and passed the changes to production and assisted in deployment of the same.
  • Aeroklas was the manufacturing company.
  • Tools: Microsoft Dynamics 365, SQL Server

Consultant

Capgemini
Banglore, India
08.2017 - 01.2018
  • The current product data flow has PR1 dependency, and includes significant manual processing by CBS to map and consolidate materials from multiple bottlers for volume reporting.
  • Implementing the Golden record consolidation layer (MDM) will eliminate dependence on PR1, and help to streamline and eliminate some of the current manual processes in the product data life cycle.
  • Analyze the Scripts related to the source data.
  • Know the functionality of the system.
  • Developing and modifying the scripts as per business.
  • Test the scripts in Dev, QA.
  • Validating the Script and Data in QA.
  • Closely monitoring the schedules in Tivoli scheduler.
  • Migrating and validating scripts in PROD.
  • Tools: Teradata, Unix, Linux

Consultant

Capgemini
Banglore, Karnataka
12.2016 - 08.2017
  • Teradata Cloud migration is the project where all the applications script had to be migrated from UNIX box to cloud environment that is the Linux environment.
  • There were around 10k Scripts in UNIX box which had to be migrated to Linux box.
  • All the applications had their own functionalities which needs to be understood and modify the scripts accordingly that is compatible with the cloud system.
  • Analyze the Scripts of each and every application.
  • Know the functionality of the in- flight and the old scripts as well.
  • Modify the utility scripts and Shell scripts that is compatible with cloud.
  • Test the scripts in Dev., QA, Prod.
  • Validating the Script and Data in QA.
  • Migrating and validating scripts in PROD.
  • Tools: Teradata, Unix

Software Engineer

Tech Mahindra
Hyderabad, India
02.2014 - 11.2016
  • Integrated Cash and Profitability (ICPM) project is an initiative for cisco business to start thinking in terms of Profit than in terms of singular line items like Bookings, Revenue and Expense.
  • ICPM will provide P & L's metrics to help indicate clearly how business decisions related to different line items affect profitability.
  • Another major purpose is to eliminate manual reporting.
  • P & L Reporting cube will make Revenue, COGS, etc. data available in multi-dimensional format and business friendly language.
  • Analyze the requirement and ETL to be Created/modified as per the requirement.
  • Give the Estimation for the Changes/Modification Requested by the Business.
  • Take part in modeling of the new tables/new columns as per the requirement.
  • Help the team with LDM/PDM for the new tables/new columns being pulled.
  • Data Profiling for new tables/columns involved as part of the Change Request.
  • Develop New/Modify Existing ETLs for enhancement as per the requirement.
  • Create New Schedules/Modify Existing Schedules as per the requirement.
  • Prepare the Design Documents, ETL specification documents.
  • Prepare the Unit Test Case document, Deployment Document.
  • Tools: Informatica Power Center 9.6.1, Dollar Universe, Artifactory, Kintana, Tidal, Toad
  • O/S: UNIX, Windows XP
  • Database: Oracle, Teradata

Associate Software Engineer

Tech Mahindra
Hyderabad, India
11.2013 - 02.2014
  • Consolidate data from different reporting Universes and provide GTC a single platform for all their reporting needs.
  • Global Tax and Customs (Customs and Intercompany) team have reports in Oracle.
  • The sources were changed from QTC, BV to CG sources for which the data needed to be incrementally pulled and the history data needed to be fixed.
  • Business wanted the reporting to be done on Teradata.
  • As part of this, ETL's were created to load the data from Oracle to Teradata.
  • Team Size: 3
  • Tools: Informatica Power Center 9.6.1, Dollar Universe, Artifactory, Kintana, Toad
  • O/S: UNIX, Windows XP
  • Database: Teradata, Oracle

Education

BE - Electronics and Communication engineering

T.J Instituteof Technology
01.2008 - 01.2012

Post Graduate Program - Data Science

Great Lakes Executive Learning
01.2021 - 01.2022

Skills

Data Warehousing

Informatica ETL

Data Science

Teradata

Oracle Database

Python

Accomplishments

  • Received appreciation from Clients and Onsite leads for successful deliverables
  • Received Pat-on-back award for complex deliverables within the stipulated deadline
  • Received the Best engagement team player award.

Interests

Listening music
browsing
drawing

Disclaimer

I hereby declare that the information furnished above is true to the best of my knowledge and belief.

Personal Information

  • Father's Name: Lakshmanan M
  • Husband's Name: Jidesh Kooriyil Aravindhakshan
  • Date of Birth: 10/06/90
  • Gender: Female
  • Marital Status: Married

Timeline

Data Scientist

HydroNeo
02.2024 - Current

Post Graduate Program - Data Science

Great Lakes Executive Learning
01.2021 - 01.2022

Ax4 Programmer

Aeroklas
07.2018 - 12.2019

Consultant

Capgemini
08.2017 - 01.2018

Consultant

Capgemini
12.2016 - 08.2017

Software Engineer

Tech Mahindra
02.2014 - 11.2016

Associate Software Engineer

Tech Mahindra
11.2013 - 02.2014

BE - Electronics and Communication engineering

T.J Instituteof Technology
01.2008 - 01.2012

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