Siddhesh Parab

Detail-Oriented Data Analyst with expertise in data visualization, modeling, and exploratory analysis using tools like Power BI, Python, and Excel. Proficient in data wrangling, DAX queries, and ETL processes, with a proven ability to clean, transform, and analyze complex datasets. Skilled at translating raw data into actionable insights to support data-driven decision-making and optimize business outcomes. Passionate about leveraging analytical skills to solve business problems and deliver impactful results.

• Simplilearn, IBM

• Date Of Birth: 07/08/2001
  Marital Status: Single
  Gender: Male
  Hobbies: Listening Music, Cricket, Chess

Power BI Project - Best Restaurant Analysis

• Designed an interactive Power BI dashboard to evaluate restaurant performance across different cities.
• Conducted data transformation and cleansing, improving data accuracy by 30 %.
• Created DAX measures for key metrics like average rating, cost per meal and cuisine diversity.

Power BI Project - Netflix Data Analysis Dashboard

Designed an interactive Power BI dashboard to analyze Netflix's movie and TV show dataset. Key contributions include:

• Processed and visualized 8,803 titles, categorized by genre, rating, release year and country.
• Built dynamic filters and KPIs to compare content distribution across different regions.
• Created insightful visualizations on top genres, most popular ratings and year-wise content trends.
• Enhanced data storytelling with DAX measures and calculated columns for key insights.

Python Project - App Rating Prediction

• Processed and cleaned large app store datasets, reducing missing data impact by 40%.
• Utilized visualization techniques (box plots, histograms, scatter plots) for feature analysis.
• Built and optimized a predictive model using a 70-30 train-test split, improving accuracy by 15%.