Data Analyst & Engineer | Specializing in PostgreSQL, Python & Cloud Solutions | Harvard HPAIR 2026 Delegate | McKinsey Forward Learner | BTSA at ZS
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ZS Associates
Data Analyst
June 15, 2026 – Present
Predictive-Hospital-Triage-Surge-Engines
April 25, 2026 – Present
A hybrid predictive–prescriptive framework for hospital triage and resource optimization under demand uncertainty. A real-time decision support system that forecasts patient inflow and dynamically optimizes hospital resource allocation (beds, staff, triage priority).
View ProjectAlgorithmic-Trading-Strategy-Backtesting-Engine
April 19, 2026 – Present
This project simulates trading strategies on historical financial data, enabling performance evaluation using industry-standard risk and return metrics. It is built to mimic real-world quantitative research workflows, including signal generation, portfolio simulation, and performance analysis.
View ProjectWeather-data-pipeline-with-Python-and-PostgreSQL
March 29, 2026 – Present
The project demonstrates the design and implementation of a data engineering pipeline that extracts real-time weather data from a public API, processes the data, and stores it in a structured PostgreSQL database. The pipeline follows the ETL pattern and showcases key data engineering concepts such as API ingestion, data cleaning & containerisation.
View ProjectETL-pipeline-with-open-data
March 13, 2026 – Present
Built an end-to-end ETL pipeline ingesting WHO COVID-19 Global data records from CSV, transforming and storing in Parquet format, and loading into BigQuery for analytical querying, reducing storage by 60% and improving query performance.
View Projectpython-coding-practice
February 26, 2026 – Present
Python coding practice modules designed to strengthen problem-solving skills and improve programming fundamentals. The goal of this project is to build a strong foundation in Python by solving different types of problems and implementing concepts that are useful for real-world projects.
View ProjectAlgorithm-Visualizer
February 25, 2026 – Present
Algorithm-Visualizer — GitHub repository
View ProjectFormula-1-Race-Strategy-Driver-Performance-Intelligence-Platform
February 9, 2026 – Present
An end-to-end analytics platform using historical race, lap-time, pit-stop, and weather data to identify key performance drivers in drivers, teams, circuits, and seasons, and built predictive models to forecast race results and evaluate strategy trade-offs, allowing data-driven optimization of pit, tire, & race strategy decisions.
View ProjectCataComB
November 25, 2022 – July 19, 2023
CataComb is an innovative platform designed to redefine the way we secure sensitive data and optimize cloud storage.
View ProjectCultural Fit Analysis
The candidate's portfolio shows a strong inclination towards personal projects, demonstrating initiative and a passion for data-related fields. The diversity of projects (data engineering, predictive modeling, algorithmic trading) suggests a curious and versatile individual. The current role as a Data Analyst at ZS Associates aligns well with the target role, indicating a clear career path. However, the lack of team-based projects or explicit collaboration mentions makes it hard to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, keen on exploring diverse data-related challenges. The variety of projects, from healthcare to finance and sports analytics, indicates adaptability and a broad interest in applying analytical skills. However, without psychometric or English test scores, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration directly.