Eshaan Joshi

Data Science Consultant | Turning data into insights

Hello! I am Eshaan Joshi, A data Science and Analytics Enthusiast with hands on experience in data collection, cleaning, processing and analysis. I have a strong interest in the financial industry particularly in understanding stock markets, company operations and predicting trends. As an aspiring data scientist and business analyst, I am passionate about leveraging programming, statistics and domain expertise to drive insights and decision making. With a solid foundation in Python, SQL and Machine learning, I enjoy tackling complex problems and delivering actionable insights that help businesses succeed.

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Experience

Data Science Consultant

Smollan (Client: Google) | July 2024 - Present

  • 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 the 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, Bestbuy, etc.

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 forecast KPIs using internal and external data.

Skills

Here are some of the technologies and tools I frequently work with:

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

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Credit Risk Scorecard

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

Tech Used: Python, Statistical Modeling, Risk Assessment

View on GitHub
Project Thumbnail

Propensity Modeling

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

Tech Used: Python, Statistical Modeling

View on GitHub

Education

Certifications

Contact Me

GitHub LinkedIn Kaggle Gmail