Naval Aggarwal

Business Development Executive

Melbourne, Victoria, Australia8 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 8+ years of experience in data-driven solutions.
  • Expert in predictive modeling and time-series forecasting.
  • Passionate about delivering insights through data analysis.
Stackforce AI infers this person is a Data Science and Engineering expert in the Education and Fintech sectors.

Contact

Skills

Core Skills

Data EngineeringData ScienceData VisualizationAiFinancial ModelingData AnalysisSoftware Development

Other Skills

Agile Application DevelopmentAgile MethodologiesAnalytical SkillsAndroid DevelopmentArtificial Intelligence (AI)AutomationAzure Data LakeBig DataBusiness AnalysisBusiness AnalyticsCC (Programming Language)C++CommunicationData Analytics

About

As a Data Specialist, I leverage my data science and engineering skills to understand, preprocess, and analyze marketing data, and create time-series forecasting models to optimize conversion and prediction of future marketing strategies. Over 8 years of experience in developing end-to-end data-driven solutions, consulting and automating business process involving Artificial Intelligence, Azure, Databricks, Airflow, and AWS. Helped businesses improve 10x budget - marketing KPI performance, 10x Customer retention and 5x User acquisition. I am passionate about delivering valuable data & insights through analytical functions and data-driven methods. Develops strategic plans and recommendation systems based on predictive time-series modeling & forecasting. I have Mastered in Data Science and Artificial Intelligence along with several certifications in Machine Learning, Python, and GenAI. I also enjoy sharing my knowledge and insights through blogging, where I exhibit strong technical writing and documentation skills. My goal is to apply my data expertise and creativity to solve real-world problems and contribute to the advancement of data-driven marketing.

Experience

8 yrs 8 mos
Total Experience
2 yrs 2 mos
Average Tenure
4 yrs 2 mos
Current Experience

Monash university

Marketing Data Engineer | AI, BI | Azure, Databricks, Python | GenAI, LLM, Automation

Oct 2022Present · 3 yrs 8 mos · Melbourne, Victoria, Australia · Hybrid

  • Tasks & Responsibilities:
  • 1. Optimized Student Conversion Funnel: Conducted in-depth analysis of the student journey (LEAD → APPLICANTS → OFFER → ACCEPTANCE → ENROLMENTS), identifying a 12% drop-off between offer and acceptance in certain postgraduate programs. Insights led to targeted retention campaigns, improving enrollment yield by 5%.
  • 2. Automated Data Integration: Developed ETL processes to ingest student data from Callista and NOSC systems into marketing data marts, ensuring real-time tracking of recruitment and enrollment trends.
  • 3. Marketing Forecasting: Executed demand and scenario forecasting analyses, incorporating dynamic simulations to inform strategic marketing decisions.​
  • 4. Interactive Dashboard Development: Designed and implemented Power BI dashboards to monitor conversion KPIs and campaign performance, reducing manual reporting time by 50% and facilitating data-driven strategy meetings.
  • 5. Enhanced Data Quality: Engineered features like “REAL_ID” to detect and eliminate duplicate leads, improving the accuracy of marketing campaigns and recommendations.​
  • 6. Predictive Modeling: Built logistic regression models to predict applicant acceptance likelihood with ~85% accuracy and utilized ARIMA for time-series forecasting of application volumes, aiding in resource planning.
  • 7. Innovation Leadership: Co-led an award-winning Marketing Infrastructure Hackathon in 2024, developing an AI & BI prototype using Agentic AI - CrewAI, resulting in a 7% improvement in conversion KPIs.
  • 8. Advanced Data Pipelines: Constructed and managed end-to-end data pipelines in Azure Databricks to process advertising data from multiple sources, optimizing ETL jobs with PySpark to reduce processing time by 30% and enable daily metric refreshes.
Azure Data LakePython (Programming Language)Data ScienceData EngineeringArtificial Intelligence (AI)Decision-Making+2

Infosys

Data Engineer, Analyst | Python, SQL, Automation

Feb 2022Sep 2022 · 7 mos · Melbourne, Victoria, Australia · Hybrid

  • Work as an Analyst, Engineer at National Australia Bank (NAB)
  • Tasks & Responsibility:
  • GRACE (Governance Risk and Compliance Engine) Risk technology data pipelines: Build and manage end to end data pipeline in GRACE and handle events, incidents and generating reports through PowerBI.
  • Developed complex ETL processes to extract, transform, and load sensitive banking data, integrating insights from customer transactions and performing risk analysis in financial solutions on AIRFLOW, DAGs using Python, SQL.
  • Automation & CI/CD: Implemented workflow scheduling and monitoring using Apache Airflow and Amazon Web Services (AWS). Set up Git-based version control and CI/CD pipelines and ETL scripts, resulting in more robust deployments and a 97% pipeline success rate.
  • Data Quality & Monitoring: Conducted rigorous testing using PyTest and troubleshooting activities to identify, diagnose, and resolve coding errors within the GRACE application using Python and Java, adhering to established testing procedures, quality standards, and performance criteria to ensure software meets the required functionality and reliability.
  • Evaluated current systems and identified gaps or constraints in technology architecture, processes, and methods to propose upgrades or redesigns that align with evolving business requirements and technological advancements by reviewing latency issues and server logs on Amazon Web Service (AWS) cloud.
Python (Programming Language)Data ScienceData AnalysisSQLAutomationAnalytical Skills+1

Monash university

Data Scientist: Working Student

Jul 2021Jan 2022 · 6 mos · Clayton, Victoria, Australia

  • Tasks & Responsibility:
  • Understanding the Business problem by executing Design ideology, conducting interviews, and implementing Lotus diagram.
  • Data Mining: Gathering relevant data sources by successfully dealing with ethical and privacy issues.
  • Data Wrangling: Cleaning and fixing the inconsistencies in the datasets using Python.
  • Data Exploration: Forming hypothesis and critically analyzing the parameters of the influence for our project.
  • Feature Engineering: Constructing important features for creating features to solve the problem.
  • Data Visualization: Constructing interactive charts for explaining the solution through JavaScript and D3.
  • Storytelling: Effectively creating a user journey and the product video.
  • Impact:
  • Successfully designed, developed, and presented a web application, QuitSmoking in 12 weeks which solves the data-driven business problem for social good.
  • Targeting +4M youth population in Australia
  • Collaborated with 4 members of different disciplines and cultures.
Python (Programming Language)Data ScienceDecision-MakingProblem Solving

Self-employed

Professional Freelancer | Data Scientist, AI & Data Engineer, Analyst | BI & Automation (Available)

Feb 2020Present · 6 yrs 4 mos · Remote

  • Successfully developed end-to-end AI powered financial data forecasting and investment solution for more than 30 customers. Generating long-term strategies, daily, and weekly updates through automatic email scripts.
  • Successfully built and monitored an automated ETL pipeline for different stocks, commodities and cryptocurrencies using Python
  • Performs fundamental, technical and news sentiment analysis and generates Buy, Hold & Sell Investment strategies.
  • Performs time-series forecasting and builds Statistical (ARIMA, SARIMA) and Machine Learning models (Gradient Boosting, LSTN) to predict the stock prices.
  • Successfully deployed the solution using FastAPI to serve model predictions and LLM responses via a REST API
  • Built AI powered solutions, integrating Langchain with LLM, AgenticAI - CrewAI and created dashboards using Streamlit.
  • Successfully creating relevant BLOGS about Data Science for sharing knowledge.
  • Exhibited strong technical writing and documentation of problem-statement.
Python (Programming Language)Data ScienceStatistical ModelingLarge Language Models (LLM)Artificial Intelligence (AI)Decision-Making+3

Times internet limited (the times of india group company)

Software Developer | Java, Android, Project Management

Mar 2018Mar 2020 · 2 yrs · Noida Area, India · On-site

  • Tasks & Responsibility:
  • Demonstrated Collaborative based Recommended Newsfeed as per User past behavior and Analytics using Machine Learning which provided related news.
  • Successfully managed to increase the Crash - free sessions of users on Languages News Media Applications: NBT, MT, VK, EIS, TML, TLG, MLY from 97.3% to 99.5%.
  • Impact:
  • Successfully implemented Briefs with Clean Architecture and Test-Driven Development which increased Time in App per User from 5.47 mins to 8.38 mins per application.
DevOpsSoftware Development

Trupay india

Software Developer | Java, Android, Project Management

Jan 2017Feb 2018 · 1 yr 1 mo · Gurgaon, India · On-site

  • Tasks & Responsibility:
  • Strongly demonstrated skills in extraction, analysis, and reporting of data in Python.
  • Successfully developed BharatPos – Point of Sale (POS) Application for 10 B2B Clients in Java.
  • Managed & Integrated:
  • Successfully integrated payment SDKs with 17 eCommerce financial businesses and managed strong client–customer and stakeholders’ relationships.

Copper mobile

Android Developer

Jul 2015Dec 2016 · 1 yr 5 mos · Noida Area, India

  • Lead multiple projects from design, development, and quality assurance.
  • Highlight:
  • Successfully implemented Messaging chat using MQTT protocol in Spornado Application in Java.
  • Managed database for more than 30k users using SQL.

Defence research and development organisation (drdo)

Intern

Jun 2014Aug 2014 · 2 mos · Vishwavidyalaya, New Delhi

  • Implementation of Hydrophone with Pre-Amplifier

Technomedia solutions pvt. ltd

Intern

Jun 2013Aug 2013 · 2 mos · TV Tower, Pitampura New Delhi

  • Project Undertaken:
  • 1. Study and Analysis on Broadcasting System
  • 2. Successfully designed Infrared Music Transmitter and Receiver Working model.

Education

Monash University

Master's degree — Data Science

Jan 2020Jan 2022

Maharaja Agrasen Institute Of Technology, Delhi

Bachelor's of Technology — Electronics and Communications Engineering

Jan 2011Jan 2015

Apeejay Stya Education (Svran Foundation)

Senior Secondary

Jan 1999Jan 2011

Stackforce found 100+ more professionals with Data Engineering & Data Science

Explore similar profiles based on matching skills and experience