Hello 👋.

I'm Abhishek Shinde, a Data Analyst with 3 years of experience in data analytics, business intelligence, ETL development, and process automation. Adept at SQL, Python, Power BI, and Tableau to extract, analyze, and visualize complex datasets, driving data-driven decision-making. Expertise in financial analytics, healthcare data management, and operational reporting. Proven ability to optimize data pipelines, automate reporting, and develop predictive analytics solutions. Passionate about transforming raw data into actionable insights to enhance business operations.

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Education

Master's of Applied Data Science

Syracuse University, School of Information Studies

Syracuse, NY

August 2023 - May 2025

GPA: 3.9/4

Details:

  • Leveraged statistical and machine learning methods to analyze complex data sets, including classification, regression, and clustering algorithms.
  • Utilized Python and R to write efficient code for data manipulation, analysis, and visualization, enhancing programming skills critical for data science applications.
  • Completed hands-on projects and internships involving real-world data, applying theoretical knowledge to solve practical business problems.
  • Created compelling data visualizations and reports using tools like Tableau and Power BI, effectively communicating insights to both technical and non-technical stakeholders.

Bachelor's of Technology in Electronics

K.J. Somaiya School of Engineering

Mumbai, India

August 2017 - October 2020

CGPA: 6.74/10

Details:

  • Implemented assembly language and C programming to develop and debug microprocessor applications, improving low-level programming skills.
  • Analyzed and processed signals using Fourier transforms and Laplace transforms, gaining a deep understanding of signal behavior and system responses.
  • Implemented image compression techniques to reduce data storage requirements while preserving image quality, showcasing skills in digital image management.
  • Developed and implemented information systems for business processes, improving data accessibility and decision-making efficiency.

Work Experience

Research and Data Intern

Bakes for Breast Cancer

June 2024 - August 2024

  • Designed a Python data pipeline to extract, transform, and load leads via API, boosting lead generation accuracy by 25%.
  • Generated detailed event tracking reports in Excel, analyzing historical data to gain insights and guide future event planning, resulting in more and well-attended events.
  • Created a report on funds generated from events, identifying top-performing cities and establishments, which helped focus future fundraising efforts and increase contributions by 15%.

Data Analyst

Commtel Networks

August 2021 - July 2023

  • Automated an ETL pipeline in Python to process data from 10+ departments into a unified data source, reducing processing time by 40% and improving efficiency and accuracy.
  • Consolidated data from 3 disparate sources into a single SQL database, facilitating efficient transformation and analysis.
  • Utilized Power BI and Excel to generate 40+ automated visualization reports for key stakeholders, highlighting key performance indicators (KPIs) aiding in the data-driven decision-making process.
  • Developed a monthly and quarterly project status tracking dashboard in Power BI for 10+ departments, boosting organizational oversight and restructuring project management efficiency.

Projects

Retail Store Data Analysis

Category: Data Pipeline

Date: June 2024

GitHub Blog
  • Cleaned and transformed 10,000+ records in Python, ensuring data accuracy and consistency.
  • Architected a Retail Stores Analysis solution using Python, SQL Server, and Power BI, improving decision-making efficiency by 20%.
  • Integrated SQL Server with Power BI for real-time visualization, accelerating business decisions by 35%.

YouTube Data Engineering and Analytics Solution

Category: Data Engineering

Date: August 2024

GitHub Blog
  • Developed ETL workflows to automate data extraction, transformation, and loading.
  • Designed and deployed Power BI dashboards, providing real-time operational analytics.
  • Optimized SQL queries and database schemas, reducing processing time by 30%.

Economic Data Analysis Using FRED API

Category: Data Analysis

Date: November 2024

GitHub
  • Extracted & analyzed S&P 500, unemployment, and labor force data using FRED API.
  • Visualized trends with Plotly & Matplotlib, highlighting state-wise labor market shifts.
  • Automated data processing, integrating multi-state economic datasets for analysis.

Hotel Booking Data Analysis

Category: Data Analysis

Date: June 2024

GitHub
  • Analyzed hotel booking trends, cancellations, and guest behavior using Python (pandas, numpy, seaborn).
  • Performed data cleaning, handling missing values, type conversions, and feature engineering.
  • Visualized booking and cancellation patterns using Matplotlib & Seaborn, identifying key revenue-impacting trends.
  • Derived actionable insights on seasonal trends, lead time impact, and ADR variations to aid hotel revenue management.

Certifications

AWS Certified Solutions Architect Associate

Category: Associate

Date Issued: July 2024

Certification Link

AWS Certified Cloud Practitioner

Category: Foundational

Date Issued: June 2024

Certification Link

Data Analyst Nanodegree

Category: Intermediate

Date Issued: February 2021

Certification Link

Contact Me

You can contact me at the places mentioned below. I will try to get back to you as fast as I can.

See my Resume