Hi, I'm
A Data Scientist
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.
Jul 2024 - Present (Remote)
Optimized internal chatbot performance, reducing run time and enhancing efficiency for the sales team.
Developed metrics and automated sales tracking and reporting with Python, generating weekly insights and alerts for underperforming stores reducing 60% weekly manual effort.
Built interactive dashboards in Looker studio and BigQuery to track KPIs and sales performance.
Created a python script to generate weekly performance insights, identifying factors driving sales growth and achievement targets.
Handled ad-hoc data requests from sales team, providing quick, actionable insights.
Jan 2023 - Jun 2023 (Remote)
Supported the customer retention team by generating insights from customer behavior data.
Developed automated reports (daily, weekly and monthly) using Hive, Python and Airflow to track key metrics.
Optimized data pipelines, improving processing times and report accuracy.
Handled adhoc queries from the business teams and provided data driven solutions.
Apr 2022 - Jul 2022 (Remote)
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.
Sep 2021 - Feb 2022 (Remote)
Experimented with and implemented Group Sequential A/B testing, created a sample size calculator using BigQuery, Python and Tableau.
Automated A/B testing and reporting, sending email updates with excel reports to analysts and executives.
Made the program fault-proof and created logs for execution.
Learning Risk assessment and the various methods, Multi Arm Bandit problems and Reinforcement learning.
Developed the Proof of Concept for risk assessment and built a credit risk model based on the Basel 2 Accord.
Forecasted KPI trends using XGBoost and Time Series analysis with both internal and external data (eg: Google Trends).
Developed a risk scorecard model using Python and statistical methods to assess creditworthiness.
Predicted customer behavior for insurance products using machine learning.
Analyzed tweet sentiments using NLP.
KPMG AU, Quantium, British Airways.
2023 - 2025
2020 - 2023
Feel free to reach out through my email: eshaanjoshi713@gmail.com
Or connect on LinkedIn
Github Profile: EshaanJoshiSDBI