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Data Analyst with less than a year in Python, R Programming & Data Visualization.
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A highly motivated and results-driven individual seeking a position as an Entry Level Data Analyst. Possessing strong analytical, programming and collaboration skills with a passion for utilizing data to solve complex problems and drive business growth. Seeking to apply expertise in data analysis, data processing, data governance and reporting to increase the efficiency and accuracy of data processing leading to growth and success.
Centre for Development of Advanced Computing
Post-Graduate Diploma in Big Data Analytics (PG-DBDA) · Big Data Analytics
March 1, 2023 – September 1, 2023
Pune University
Bachelor of Engineering · Mechanical Engineering
August 1, 2018 – July 1, 2022
Tableau Project – HR Dashboard
January 1, 2024 – January 1, 2024
Leveraged advanced techniques, including over 50 iterations of ChatGPT prompts, and Python scripting for automated data synthesis, ensuring the creation of a dataset with over 12,000 unique records. Compiled a comprehensive HR dataset with 12,000 unique employee records, featuring 8-10 attributes such as demographics, job roles, salary information, performance metrics, and attrition data. Engineered the dataset to mimic real-world HR scenarios, providing a rich and intricate dataset with 95% accuracy in reflecting typical HR data distributions, ideal for in-depth analysis and dynamic visualization in Tableau.
End to End Cricket Data Analytics
January 1, 2024 – January 1, 2024
Implemented advanced web scraping techniques using Python's BeautifulSoup and Requests libraries to extract over 100,000 data points from ESPN Cricinfo's website. Conducted extensive data preprocessing in Python using Pandas, involving over 20,000 rows of data, to ensure accuracy and consistency. Utilized Power Query for further data transformation, handling complex data manipulation tasks efficiently. Developed intricate data models in Power BI, incorporating over 15 calculated columns and measures.
Music Store Data Analysis
December 1, 2023 – December 1, 2023
Conducted an in-depth analysis of the music playlist database, utilizing advanced SQL queries to extract and examine over 50,000 records, providing detailed insights into sales trends, customer preferences, and inventory turnover.
Sales Insights Data Analysis
November 1, 2023 – November 1, 2023
Engineered complex ETL mappings using advanced SQL techniques to extract data from over 100,000 unstructured records, transforming and cleaning the data in a staging area. Designed a star schema data model to optimize data analysis and visualization in Tableau. Developed an interactive Tableau dashboard featuring over 30 quantitative visualizations, analyzing key performance indicators and trends across multiple parameters.
Exploratory Data Analysis Project
October 1, 2023 – October 1, 2023
Executed comprehensive data cleaning and manipulation on a dataset of over 100,000 records using Pandas. Conducted in-depth Exploratory Data Analysis utilizing Matplotlib and Seaborn libraries to uncover critical patterns and trends. Enhanced customer experience by identifying potential customers across 50 states, segmented by occupation, gender, and age group. Boosted sales by pinpointing the top 10 most-selling product categories and 50 best-selling products.
Cultural Fit Analysis
The candidate's academic projects demonstrate a broad interest in different data domains (HR, sports, music, sales), indicating adaptability and a willingness to explore diverse challenges. The pursuit of a Post-Graduate Diploma in Big Data Analytics after a Bachelor's in Mechanical Engineering shows initiative and a clear career pivot towards data analysis, suggesting a proactive and learning-oriented mindset. The listed technical skills are comprehensive for an entry-level data analyst, aligning well with typical industry requirements.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and a passion for solving complex problems, which are positive indicators for operational fit. The use of ChatGPT for data synthesis suggests an openness to leveraging new tools for efficiency. However, without direct work experience, it's difficult to assess collaboration, stress handling, or communication in a professional setting.