Naveen Amalath

Business Development Executive

Canada11 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed multiple data-driven dashboards and models.
  • Achieved significant time savings through automation.
  • Implemented machine learning solutions for business insights.
Stackforce AI infers this person is a Data Engineer with expertise in Fintech and Machine Learning.

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Skills

Core Skills

Python (programming Language)SqlDataiku DssMachine Learning

Other Skills

APIApache SparkAzureAzure DatabricksC (Programming Language)C++Data AnalyticsData StructuresDatabase Management System (DBMS)DatabasesDeep LearningETLHugging Face modelsJiraMicrosoft Office

Experience

11 mos
Total Experience
11 mos
Average Tenure
--
Current Experience

Eazyconnect

Sales and Solution

Aug 2025Present · 8 mos

  • Engaging directly with clients through cold calls, door-to-door visits, and live demos to promote business phone service solutions.
  • Manage CRM systems, document client interactions, and design structured workflows and scripts to support onboarding of new team members.

Rbc

Data Engineer

May 2024Dec 2024 · 7 mos · Toronto, Ontario, Canada · On-site

  • Built a Regulatory Reporting dashboard on PowerBI using PySpark on Databricks, with orchestration and monitoring in Airflow, automating deadline tracking and saving 1+ hours/week; documented on Confluence.
  • Automated mortgage balance checks with SQL and Python on Data360, integrating data from APIs and data lake to create a Tableau dashboard that eliminated 3+ hours of manual work and improved accuracy.
  • Designed an LLM summarizer to analyze and compare quarterly and annual reports of the Big 5 banks using OpenAI API, leveraging prompts built on Dataiku, enabling summarizations of key insights
  • Created an LLM-powered invoice extraction pipeline using Hugging Face models, achieving 95 %+ accuracy in data extraction across 500+ invoice formats, and reducing reconciliation time by 60% for the finance team.
Python (Programming Language)SQLDataiku DSSPySparkApache SparkAPI+4

Indian institute of technology, delhi

Research Assistant

Sep 2022Aug 2023 · 11 mos · Delhi, India

Apollo 24|7

Data Engineer

Jan 2022Sep 2022 · 8 mos

  • Built an XGBoost-based time-series forecasting model in Python (Scikit-learn) to predict sales and appointment demand, enabling resource planning and forecasting medicine inventory 3 months in advance; collaborated using Jira.
  • Reduced doctor appointment downtime by 85 %+ by analyzing appointment data in Databricks and refining the scheduling algorithm to avoid conflicts.
JiraPython (Programming Language)SQLMachine LearningAzure Databricks

Bewakoof.com

Data Analyst

Jan 2021Jan 2022 · 1 yr

  • Reduced fraudulent return orders by over 20% by implementing an RFM model to identify and flag exploitative user behavior
  • Increased sales by integrating a Naive Bayes machine learning algorithm to generate personalized next-purchase recommendations
SQLPython (Programming Language)Tableau

Kuwait oil company

Information Technology Intern

Jun 2019Jul 2019 · 1 mo · Kuwait

  • Worked with the IT division of Kuwait Oil Company, gaining hands-on exposure to day-to-day IT operations, including system support and infrastructure monitoring

Education

Simon Fraser University

Master's degree

Sep 2023Jul 2025

Vellore Institute of Technology

Bachelor of Technology — Computer Engineering

Jan 2018Jan 2022

National University of Singapore

Exchange — Data Analytics Using Deep Learning

Jan 2019Jan 2020

FAIPS Kuwait

High School Diploma

Oct 2008Jan 2018

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