S

Shirish Sunil Kulkarni

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Mumbai, Maharashtra, India

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Résumé

Jobs verified_user 0% verified
  • Yougov
    Junior Data Processing Executive
    Yougov
    Aug 2025 - Current (1 year 3 months)
    • Clean and preprocess large datasets using Python (Pandas, NumPy) and Quantipy, ensuring high-quality, analysis-ready datasets, while developing data visualizations using Crunch and Power BI based on client requirements.
    • Develop custom Python functions, automate data transformation workflows to convert raw datasets into structured, analysis-ready datasets based on client requirements, and write SQL queries for data extraction, validation, transformation, and quality checks, ensuring data consistency and accuracy across data pipelines.
    • Develop client-specific data views and structured outputs, enabling the insights team to generate accurate reports and actionable business insights.
    • Worked on 100+ client projects across
  • F
    Data Analyst Intern
    Forbes & Company
    Jun 2024 - Aug 2024 (3 months)
    • Designed a relational database schema for an employee timesheet management application, optimizing data storage and retrieval.
    • Developed interactive Power BI dashboards to visualize business metrics and support data-driven decision-making.
    • Analyzed and transformed datasets using Python (Pandas, Matplotlib) to extract actionable insights.
Education verified_user 0% verified
  • Red Hat
    Red Hat Certified System Administrator (RHCSA)
    Red Hat
  • I
    Cyber Security
    ICORX
  • T
    B.Tech – Artificial Intelligence & Data Science
    Thadomal Shahani Engineering College, Mumbai
    Jan 2022 - Jan 2025 (3 years 1 month)
    CGPA: 8.44
  • M
    Diploma – Computer Science
    MIT Polytechnic, Aurangabad
    Jan 2020 - Jan 2022 (2 years 1 month)
    91.6%
Projects (professional or personal) verified_user 0% verified
  • GitHub
    Nifty 50 Stock ETL Pipeline
    GitHub
    Jan 2025
    Tech Stack: Python, Apache Airflow (Astro), Docker, PostgreSQL, Pandas, yfinance
    • Built an automated ETL pipeline using Apache Airflow on Docker to extract 60 days of historical OHLCV data for the top 10 Nifty 50 stocks using the yfinance API, with file-based storage to overcome Airflow's XCom size limitation.
    • Transformed raw stock data using Pandas to calculate daily price change percentages, 7-day and 30-day moving averages, and loaded the processed data into PostgreSQL using a composite primary key to prevent duplicate records.
    • Generated automated four-sheet Excel reports containing raw OHLCV data, top gainers/losers, moving average trends, and sector-wise performance to support investment analysis.
  • GitHub
    End-to-End Financial Data Pipeline with Trading Signal Detection
    GitHub
    Jan 2025
    Tech Stack: Apache Spark, PostgreSQL, Docker, Python, Pandas, Seaborn, Advanced SQL
    • Built an end-to-end data pipeline using Apache Spark to combine multiple CSV files containing options trading data, perform data cleaning, standardize columns, parse dates, cast data types, and load processed data into PostgreSQL running in Docker.
    • Analyzed processed data using Advanced SQL, including CTEs and Window Functions, to extract trading insights and support data-driven analysis.
    • Developed a BUY/SELL signal detection system using rolling standard deviation and visualized trading trends using Seaborn.