Hello, I'm

Malhar
Dhawle

Data Analytics Developer · Calgary, AB

bash — malhar@portfolio
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Malhar Dhawle

Malhar Dhawle

Data Analytics Developer

Calgary, AB

About

I'm a Data Science & Analytics graduate student at the University of Calgary with a background in Computer Science Engineering. I work at the intersection of data engineering, cloud infrastructure, and machine learning — building pipelines and systems that turn raw data into real decisions.

Outside of work, I enjoy café-hopping, long hikes, and running. I'm drawn to thoughtful, creative projects and always looking to expand my skills.

Skills

ProgrammingPythonSQLC++
Cloud & InfraAWSAzureDatabricksTerraformSupabase
Data EngineeringDelta LakedbtPostgreSQLSQL Server
DevOps & CI/CDGitHub ActionsGitVercelDocker

Certifications

AWS Certified Cloud Practitioner

Resume

My education & professional journey.

July 2025 – Present

Work

Data Analytics Developer

Dakota Analytics · Calgary, AB, Canada

  • Built multi-environment infrastructure using Terraform on Azure with Databricks workflows, secrets management, and remote state locking.
  • Set up CI/CD pipelines automating Terraform deployments via GitHub Actions.
  • Designed and maintained production ETL pipelines using PySpark and Databricks, ingesting from REST APIs and databases (PostgreSQL, SQL Server) with Delta Lake and Unity Catalog.
  • Integrated Claude API in GitHub Actions to automate code review for breaking changes and dependency conflicts.

April 2025 – June 2025

Work

Data Analytics Developer Intern

Dakota Analytics · Calgary, AB, Canada

  • Built a customer-facing full-stack application using Supabase with real-time writebacks and Vercel preview deployments.
  • Developed scalable dbt data models following medallion architecture, transforming financial and energy datasets to support downstream analytics.

Aug 2024 – Sep 2025

Education

Master of Data Science and Analytics – Financial & Energy Markets

University of Calgary · Calgary, AB, Canada

Aug 2022 – Dec 2022

Work

Software Development Intern – Machine Learning

Capgemini · India

  • Developed predictive models for industrial IoT using TensorFlow LSTM for anomaly detection and temperature forecasting.
  • Optimized forecasting model inference by 47% by streamlining parallel data ingestion on Azure Virtual Machines, enabling real-time analytics with minimal latency.

Jun 2019 – Jul 2023

Education

Bachelor of Technology in Computer Science and Engineering

Maharashtra Institute of Technology · Pune, India

Projects

Things I've built — scroll the stack to browse.

01 / 13

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Serverless Document Generation Service
Cloud & Infrastructure01

Serverless Document Generation Service

AWS LambdaDockerTerraformAPI Gateway
Benchmarking LLMs for SQL Querying
NLP & LLM02

Benchmarking LLMs for SQL Querying

StreamlitGPT-4oLLaMA-3Gemma-2
Quantitative Portfolio Optimization
Finance & Data03

Quantitative Portfolio Optimization

PythonMonte CarloMean-Variance OptimizationFinance
RAG Assistant
NLP & LLM04

RAG Assistant

StreamlitOpenAIRAGVector DB
Global Energy Trends Analysis
Data Analysis05

Global Energy Trends Analysis

PythonMySQLPandasMatplotlib
Indian Address Parser & Entity Matching
NLP06

Indian Address Parser & Entity Matching

BERTHuggingFaceNLPNER
Locality-Sensitive Hashing for Text
NLP & Data Mining07

Locality-Sensitive Hashing for Text

LSHPythonMinHashNLP
Brain Tumor Detection
Deep Learning08

Brain Tumor Detection

TensorFlowCNNVGG16Medical Imaging
Plant Disease Detection
Deep Learning09

Plant Disease Detection

TensorFlowKerasCNNComputer Vision
Secure Processing with Homomorphic Encryption
Cybersecurity10

Secure Processing with Homomorphic Encryption

Homomorphic EncryptionPaillierPythonCryptography
Anomaly Detection on Oracle Cloud
Anomaly Detection11

Anomaly Detection on Oracle Cloud

Oracle CloudOCITime SeriesAnomaly Detection
AI Pathfinder in Godot
Game AI12

AI Pathfinder in Godot

GodotA*GDScriptGame AI
MovieHub — MySQL HeatWave
Cloud & Data13

MovieHub — MySQL HeatWave

MySQL HeatWaveOracle APEXAutoMLOracle Cloud
Cloud & Infrastructure

Serverless Document Generation Service

  • Deployed serverless PDF generation microservice using AWS Lambda with Docker containers and Terraform, implementing API Gateway with authentication and ECR for container orchestration.
  • Built system processing 40,000+ pages through HTML-to-PDF conversion, integrated with a customer-facing web application to deliver customized documents at scale.
AWS LambdaDockerTerraformAPI GatewayECR
View on GitHub

Research

Springer ICDAIJul 2023

Augmenting Training Data and Validating Discriminators with Generative Adversarial Networks for Plant Disease Detection

Used AR-GAN for image-to-image translation to generate synthetic training data for plant disease detection, improving model generalization.

Read paper
Elsevier ICAMSMDMar 2023

Defense Techniques Against Spoofing Attacks in Wireless Sensor Networks

Explored localization, RSSI, and clock skew defense techniques incorporating deep learning, localization, and blockchain to mitigate spoofing attacks in WSNs.

Read paper

Canvas

Travel moments, hackathons, and everything in between. — Hover an image to read its story. Scroll to zoom in.

Jasper National Park
Sarrail Ridge Hike
GenQ Quantum Hackathon
Niagara Falls
Toronto
University of Waterloo
Flow Blockchain Hackathon

Contact

Feel free to reach out — I'm always open to new opportunities and conversations.