AI Engineer

Building AI systems that accelerate decision-making.

Hello! I'm Eshaan Joshi, an AI engineer designing and deploying machine learning and generative solutions across finance and retail.

I combine data modeling, automation, and user-centered storytelling to turn complex signals into practical roadmaps and revenue-focused actions.

3+

Years in data analytics

15+

End-to-end projects delivered

4

Industries supported so far

Experience

Professional journey and impact

Highlights from roles where I've helped teams translate data into direction.

AI Engineer

Smollan (Client: Google)

July 2025 - Present
  • Built a production RAG chatbot API that generates sales pitches, answers spec queries, and gives automated feedback.
  • Shipped an Insights API that pulls from internal KBs + web search to produce cited, manager-grade answers.
  • Scaled Looker pipelines by ingesting live availability data and adding narrative insights to dashboards.

Data Science Consultant

Smollan (Client: Google)

July 2024 - June 2025
  • Automated insights generation and sales correlation using Gemini API, delivering actionable insights through the internal sales analytics app.
  • Integrated customer sentiment data query functionality into the company's internal sales analytics app, enhancing data-driven decision making.
  • Optimized internal sales analytics app performance, reducing runtime and improving efficiency.
  • Developed metrics and automated sales tracking and reporting with Python.

Data Analyst Intern

Pharmeasy

Jan 2023 - June 2023
  • Provided analytical insights for the customer retention team.
  • Automated reports using Hive, Python, Airflow, and Google Sheets for daily and weekly tracking.
  • Responded to ad-hoc inquiries from business teams and optimized data pipelines.

Data Science Intern

Smollan (Client: Google)

Apr 2022 - Jul 2022
  • Led the data management and visualization team for the Google project, creating and maintaining dashboards and reports.
  • Developed Selenium-based web scrapers to collect data from major retailers like Amazon, AT&T, Mediamarkt, and Best Buy.

Data Scientist Intern

Fittlyf

Sep 2021 - Feb 2022
  • Reduced time to read significance by 30% by introducing group sequential sampling to A/B testing.
  • Automated experimentation, ETL, and weekly reports using Python.
  • Built proof of concept for risk assessment and credit risk.
  • Used time series forecasting to predict KPIs using internal and external data.
Skills

Tools and technologies I rely on

A blend of programming, data, and analytics capabilities shaped by hands-on experience.

  • Python
  • SQL
  • Linux
  • BigQuery
  • MongoDB
  • Docker
  • AWS
  • PySpark
  • Hadoop
  • Hive
  • R
  • Power BI
  • Excel
  • Looker Studio
  • Google Data Studio
  • SAS
  • Machine Learning
  • LLM
  • AI
  • NLP
  • A/B Testing
  • Financial Analytics
  • Propensity Modeling
  • Risk Assessment
  • Credit Risk
  • Time Series Analytics
  • Statistical Process Control
Projects

Selected work in analytics and modeling

Deep dives that showcase how I combine statistical rigor with practical decision support.

Credit risk modeling dashboard preview

Credit Risk Scorecard

Python · Statistical Modeling · Risk Assessment

Developed a statistical credit risk scorecard, enhancing creditworthiness assessments and delivering actionable insights for financial risk mitigation.

View on GitHub
Propensity modeling charts preview

Propensity Modeling

Python · Statistical Modeling

Predicted customer behaviour towards insurance products using machine learning techniques to improve targeting accuracy and drive customer engagement.

View on GitHub
Education

Academic foundation

Formal education that grounds my analytical thinking and statistical approach.

MSc Statistics

SK Somaiya College · 2023 - 2025

BSc Data Science and Business Analytics

Patkar Varde College · 2020 - 2023

Certifications

Continuous learning

Coursera

2025

Applied Machine Learning: Techniques and Applications
Johns Hopkins University · 2025
View
Advanced Methods in Machine Learning Applications
Johns Hopkins University · 2025
View

Udemy

2024

Risk Assessment & Credit Risk Modeling
Udemy · 2024
View
Advanced A/B Testing Strategies
Udemy · 2024
View

Virtual Job Simulations

Forage · 2024

Data Analytics Consulting Virtual Experience
KPMG AU · 2024
View
Data Analytics Virtual Experience
Quantium · 2024
View
Digital Transformation Virtual Experience
British Airways · 2024
View

Industry projects covering analytics, commercial strategy, and customer insights for global teams.

Contact

Let's collaborate

Reach out via any of the channels below or drop me a note for project opportunities.

Working on a data challenge or exploring analytics-led growth?

I pair statistical rigor with business intuition to build solutions that launch fast and scale. Let's scope your next experiment or roadmap together.

GitHub

Read project code, experiments, and reusable analytics tooling.

Open GitHub

LinkedIn

Follow consulting updates and grab quick takes on analytics strategy.

Connect on LinkedIn

Kaggle

Browse notebooks that dive into experimentation, forecasting, and ML.

View Kaggle profile

Email

Share a short brief and I'll reply within one business day.

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