Summary
Overview
Work History
Education
Skills
Projects
Languages
Websites
Certification
Affiliations
Accomplishments
References
Software
Timeline
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Dakshina Moorthy Ramesh

Dakshina Moorthy Ramesh

Hyderabad

Summary

Dynamic Product Analyst and Evangelist with a proven track record at Infoflex Technologies and Mitsogo Technologies/Hexnode UEM. Excelled in enhancing customer engagement and retention by 30% through innovative data analysis and personalized outreach. Skilled in Python, customer issue resolution, and leveraging technical support to drive product improvements. Demonstrates exceptional communication skills and a commitment to continuous learning and development.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Product Analyst

Infoflex Technologies
Chennai
04.2024 - 02.2025
  • Collaborated with the Amazon client to source and analyze customer data using Microsoft Excel and Google Sheets, ensuring data accuracy and actionable insights.
  • Increased lead conversions by implementing personalized offers through WhatsApp Business, email campaigns, and phone outreach, enhancing customer engagement and retention.
  • Streamlined document processing for government-related projects by converting Excel files to CSV formats using Excel macros and Python scripts, reducing manual effort by 30%.
  • Monitored and tracked campaign performance using Amazon Connect, ensuring accurate reporting and continuous optimization of customer engagement strategies.

Product Evangelist

Mitsogo Technologies/Hexnode UEM
Chennai
07.2023 - 02.2024
  • Respond promptly to customer inquiries and issues via email and live chat, using the Zendesk ticketing tool.
  • Troubleshoot and resolve technical problems related to Hexnode MDM, including installation, configuration, and usage. Contribute to and maintain a comprehensive knowledge base of troubleshooting articles and FAQs.
  • Produce user-friendly analytical reports and documentation for 1,000 users, while managing forums and resolving 250+ customer issues, utilizing data-driven insights to improve customer satisfaction. Provide feedback on product improvements and enhancements.
  • Continuously learn and develop effective solutions to provide the best possible support.
  • Developed customized data analysis scripts tailored for Mac devices using Bash, and for Windows devices using Batch/PowerShell, enabling remote monitoring and control across 500+ devices.
  • Resolved critical client issues, including developing Bash scripts to uninstall applications on macOS, addressing telemetry configuration challenges on Windows 10/11, and troubleshooting ThinkShield version discrepancies in MotoOEM Config.

Education

B.Tech - Information and communication Technology

Sastra University
Thanjavur, TamilNadu
06.2023

High school - MPC

Narayana Junior College
Hyderabad, Telangana
03.2019

10th class -

Little Scholar School
Hyderabad, Telangana
04.2017

Skills

  • Python programming
  • Scripting
  • Pandas
  • NumPy
  • SQL
  • Microsoft Office
  • Technical documentation
  • Competitive analysis
  • Customer segmentation
  • Critical path identification
  • Product issue resolution
  • Communication Skills
  • Customer engagement
  • Zendesk ticketing
  • Technical support
  • Forum posting
  • Feature research

Projects

Diabetic prediction using fused algorithm   01/01/23 - 06/30/23, 

  • Designed and developed a diabetes prediction model using machine learning techniques, including Support Vector Machine (SVM), Artificial Neural Network (ANN), K-Nearest Neighbors (KNN), Naive Bayes (NB), and Decision Trees.
  • Conducted data analysis, built a prediction engine, and fused algorithms with Multilayer Perceptron (MLP) to enhance accuracy., Compared results with existing models and highlighted the system's benefits and real-world applications.

Deep Player Performance Index in T20 Cricket,  03/01/22- 06/30/22 

  • Developed the Deep Player Performance Index (DPPI) project to evaluate T20 cricket players' strengths, aiding franchises and auctioneers in selecting players based on current form and team roles.
  • Utilized K-means Clustering to categorize players based on performance and Random Forest Algorithm to assess player statistics scraped from ESPN, helping determine the optimal XI for tournaments like the IPL and T20 World Cup.

Languages

English
First Language
Hindi
Intermediate (B1)
B1
Tamil
Elementary (A2)
A2
Telugu
Intermediate (B1)
B1

Certification

  • Data Science Job Simulation certification - BCG
  • Data Analytics Job Simulation - Deloitte Australia
  • Python - Kaggle
  • Tweet emotion recognition with TensorFlow - Coursera project network
  • Working with BigQuery - Coursera project network
  • Soft skill development - NPTEL
  • Developing soft skills and personality - NPTEL

Affiliations

  • Studied Slokas and Vedas for 10 years through Sri Sathya Sai Balvikas, winning 2nd prize in a state-level roleplay competition and completing Level 2 certification at the Shivam Centre, Hyderabad.
  • Volunteered at water camps, conducted Narayana Seva for government hospitals, and donated to the Devnar Foundation for the Blind.
  • Served as the school Scouts and Guides member and captain of the football and kabaddi team.
  • Led as PR Head of ICTAS, organizing alumni sessions for placements and coordinating tech and non-tech events

Accomplishments

  • Awarded a €5,900 scholarship as a reduction in tuition fees for the MSc in Computing (Artificial Intelligence) program at Dublin City University for the upcoming september 2025 intake, recognizing academic excellence and potential in the field of artificial intelligence.

References

References available upon request.

Software

Hexnode UEM

Zendesk

PyCharm

SQL

Anaconda Navigator

Timeline

Product Analyst

Infoflex Technologies
04.2024 - 02.2025

Product Evangelist

Mitsogo Technologies/Hexnode UEM
07.2023 - 02.2024

B.Tech - Information and communication Technology

Sastra University

High school - MPC

Narayana Junior College

10th class -

Little Scholar School
Dakshina Moorthy Ramesh