Summary
Overview
Work History
Education
Skills
Projects
Publications
Affiliations
Timeline
Generic
Sree Reshma Paramel

Sree Reshma Paramel

UAE

Summary

Business Technology & Data Analyst with 3+ years of experience leveraging AI-assisted tools, low-code concepts, SQL, Python, and Power BI to develop automated workflows, dashboards, and business solutions. Skilled in translating business requirements into practical digital solutions across Finance, Procurement, and Operations. Proven track record of reducing manual reporting by 40%, optimizing business processes, and driving digital transformation through cross-functional collaboration.

Overview

4
4
years of professional experience

Work History

Data Analyst

Iconvent Consulting Services
Remote
07.2026 - Current
  • Reduced manual reporting time by 30% by automating SQL/Python workflows, using AI-assisted coding tools to streamline data extraction, validation, and recurring operational reports.
  • Developed 5+ interactive Power BI and Tableau dashboards, translating business requirements into user-friendly KPI reporting solutions for cross-functional Product, Marketing, and Operations teams.
  • Built digital data-entry forms using Microsoft Power Apps and automated approval, notification, and reporting workflows with Power Automate, reducing manual handoffs across business teams.
  • Collaborated with business stakeholders to gather requirements, identify workflow inefficiencies, and develop automated reporting solutions that improved data accessibility and operational decision-making.

Data Analyst (Finance Team)

VIVA Finance
Atlanta, GA
10.2025 - 03.2026
  • Increased application conversion from 5% to 16% by analyzing 36K+ applications using SQL, Python, and Excel, consolidating operational data and identifying process bottlenecks for Product, Finance, and Operations.
  • Built business tracking forms and approval workflows using Airtable and Zoho Creator, leveraging Microsoft Copilot to assist with requirements documentation and automate routine Finance and Operations tasks.
  • Identified $10K in recurring monthly savings by analyzing operating costs, performance trends, and process inefficiencies using SQL and Excel, providing decision-ready recommendations to Finance and business stakeholders.
  • Developed 10+ automated Power BI and AWS QuickSight dashboards to consolidate financial and operational KPIs, improving recurring management reporting across Finance, Product, Growth, and Operations.
  • Reduced manual analysis and reporting time by 40% by streamlining SQL workflows with AI-assisted tools including Claude, Gemini, and Cursor, accelerating recurring reporting, quality checks, and ad hoc analytical requests.

Data Analyst Intern

HP (Hewlett Packard)
Singapore
04.2023 - 08.2023
  • Reduced reporting turnaround by 40% by transforming multi-source product and operational data through Snowflake/dbt and developing Tableau, Looker, and Hex dashboards tracking performance and 1,600+ daily active users for Product and Engineering teams.
  • Used GitHub Copilot to accelerate Python scripting, SQL query development, and application workflow prototyping, validating generated code to improve development efficiency and reporting reliability.
  • Improved user retention by 20% by analyzing operational and product performance using SQL/Python, coordinating with Product and Engineering to identify process and feature improvements and communicate findings through KPI reporting.

Data Research Assistant

SRMIST – IIISM
Chennai, India
06.2022 - 12.2022
  • Engineered IoT-enabled garments with real-time vitals monitoring for 150+ patients, reducing response time by 30%.
  • Analyzed MySQL feedback data to understand user behavior, contributing to a 60% rise in feature engagement.
  • Analyzed MySQL user feedback and developed digital feedback forms using Airtable or Zoho Creator to capture user requirements and guide application improvements, contributing to a 60% increase in feature engagement.
  • Created a virtual diagnostic platform on Google Cloud (GCP), saving $6,000 per session while increasing remote diagnostic accuracy by 80%.

Education

MS - Data Analytics Engineering

Northeastern University
Boston, MA
05-2025

Bachelor of Technology - Engineering

SRM Institute of Science and Technology
Chennai, India
05-2023

Skills


  • AI & Automation: ChatGPT, Claude, Gemini, Cursor, AI-Assisted Coding, Workflow Automation, Process Automation, AI-Powered Solutions
  • Low-Code/No-Code & Application Development: Flask, REST APIs, Figma, Digital Forms, Application Workflows, Database-Driven Applications
  • Programming & Databases: SQL, Python, MySQL, PostgreSQL, Google BigQuery, Snowflake, Google Cloud Platform (GCP)
  • Business Intelligence & Reporting: Power BI, Tableau, AWS QuickSight, Looker, Advanced Excel (Pivot Tables, VLOOKUP, XLOOKUP), KPI Dashboards
  • Business Analysis & Digital Transformation: Requirements Gathering, Business Process Improvement, Workflow Optimization, Stakeholder Collaboration, Cross-Functional Communication, Digital Transformation
  • Data Management: ETL/ELT, dbt, Data Validation, Data Integration, Reporting Automation, Root Cause Analysis

Projects

  • Dose Guide: Medication Management API, 2025-05, Python, SQL, Flask, PostgreSQL, Power BI, Figma, Automated processing of 1,000+ monthly medication records, reducing manual effort by 40% through scalable SQL and Python ETL pipelines in PostgreSQL., Accelerated reporting by 30% by developing Power BI dashboards and SQL data models for real-time KPI monitoring.
  • Analysis of Valorant Agent Performance, 2024-12, Python (Pandas, NumPy), SQL, SAS, Tableau, Flourish, Jupyter Notebook, Performed exploratory and ad hoc analysis on gameplay data across 20+ agents using Python and SQL, developing Tableau dashboards to visualize player performance and key trends., Enhanced game balance fairness by 15% by automating statistical analysis with SQL and SAS, for faster performance evaluation.
  • AI-Based Breast Cancer Diagnostic System, 2024-08, Trained deep learning models (CNNs) on 3,000+ ultrasound images to help in early breast cancer detection., Used statistical analysis and model tuning to reduce false positives by 40%., Implemented data mining on labeled medical datasets and built ETL workflows to standardize clinical formats, and presented monthly reports to 10+ executive leaders.

Publications

  • E-Garments for Health Monitoring In Metaverse
  • International Conference on Recent Trends in Data Science and its Applications
  • Analyzed 5,200+ EMR and IoT patient records using SQL, Python, and Excel to identify health trends, helping improve remote patient monitoring workflows by 15%.
  • Built Tableau and Power BI dashboards to track patient vitals and key healthcare metrics, giving clinicians and researchers real-time visibility into patient outcomes.
  • Worked with cross-functional teams to clean, validate, and integrate healthcare data from EMR and wearable devices, improving data quality and supporting an AI-powered remote patient monitoring platform.

Affiliations

  • Published Research Paper - E-Garments for Health Monitoring In Metaverse

Timeline

Data Analyst

Iconvent Consulting Services
07.2026 - Current

Data Analyst (Finance Team)

VIVA Finance
10.2025 - 03.2026

Data Analyst Intern

HP (Hewlett Packard)
04.2023 - 08.2023

Data Research Assistant

SRMIST – IIISM
06.2022 - 12.2022

MS - Data Analytics Engineering

Northeastern University

Bachelor of Technology - Engineering

SRM Institute of Science and Technology
Sree Reshma Paramel