Aniket Ubale

Experience

• 

  Trainity

  Mar 2023 - May 2023

  Carried 8 Data Analysis Projects and 1 Portfolio Project. 1. Data Analytics Life Cycle: Gained hands-on experience in the complete data analytics life cycle, including data collection, cleaning, exploration, and visualization. 2. Instagram User Analytics: Conducted an in-depth analysis of Instagram user data to identify trends and patterns, including popular hashtags, user demographics, and engagement rates, loyal users. 3. Operation & Metric Analytics: Analyzed operational and metric data to identify inefficiencies and areas for improvement within an organization. 4. Hiring Process Analytics: Examined data related to the hiring process to identify key performance indicators and improve recruitment strategies. 5. IMDB Movie Analysis: Conducted a comprehensive analysis of movie data from IMDB to identify trends and patterns in the film industry, including box office performance, genre popularity, and director success rates. 6. Bank Loan Case Study: Conducted a case study analyzing loan data to identify factors affecting loan approval rates, default rates, and loan amounts. 7. Impact of car features: Analyzed data related to automotive industry to find relationship between features where we need to improve our product.8. ABC Call Volume Trends: Examined call volume data to identify trends and patterns, including peak call times and factors affecting call volume. 9. Portfolio Project: Apprehends the overall comprehensive data analytics process taken for the above 8 projects that involved, identifying business problems, collecting and cleaning data, conducting in-depth analysis, and presenting insights and recommendations to stakeholders. Show less

  • Data Analysis Intern

    May 2023 - May 2023

  • Data Analyst Trainee

    Mar 2023 - Apr 2023
• 

  CloudDetox

  Jan 2024 - Apr 2024

  Data Analyst

  Through my work on data cleansing, statistical analysis, and the creation of informative dashboards for the team to view, I was able to contribute to the process of making data-driven decisions by analysing enormous datasets. Using Microsoft Power BI, I specifically developed and carried out a large-scale data visualization project that analyzed client orders from several locations around the nation in order to identify significant business insights and offer useful information for decision-making. Show less