Aman Anand
I am Senior Data Analyst
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Aman Anand
Senior Data Analyst
Results-driven Senior Data Analyst with a proven track record of enhancing productivity and efficiency in data-driven projects. Expertise in analysis, and data visualization, enabling the transformation of complex data into actionable insights. Strong problem-solving and critical thinking skills facilitate effective communication and collaboration, driving informed business decisions. Aiming to leverage analytical capabilities and advanced technologies to further optimize organizational outcomes.
Work Experience
Empowering Creativity through
09/2024 - Current
Maison D' Auraine
Senior Data Analyst
Partnered with IT teams to ensure seamless integration between databases and analytical tools, maximizing system efficiency across departments. Served as a subject matter expert on various projects, sharing valuable insights derived from extensive industry experience as a Senior Data Analyst. Reduced manual data entry errors by designing and deploying automated ETL processes to transform raw data into usable formats. Spearheaded the implementation of dashboard visualization tools (Power BI and Looker Studio), providing actionable insights for stakeholders and decision-makers. Developed and implemented data collection systems and other strategies to optimize statistical efficiency and data quality.
08/2022 - 06/2024
Synergy Technology Services
Data Analyst/Senior Data Analyst
While working at Synergy Technology Services for Sony Music, led the implementation of a comprehensive Looker solution for a TikTok streaming and revenue analysis project, successfully delivering actionable insights within tight timelines. Managed a team of data analysts and engineers to integrate data from multiple cloud platforms into Looker, ensuring efficient collaboration and timely project completion.
Industrybuying.com
Data Analyst
Produced reports using advanced Excel spreadsheet functions. Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions. Enhanced business efficiency by identifying trends and patterns in complex datasets. Fetched and manipulated data for pricing analysis of products. Conducted data analysis to support business decisions.
Excitel
Data Analyst/Senior Business Analyst
Utilized Looker to develop explores and dashboards, enabling stakeholders to track KPIs interactively. Built and optimized LookML models and view files, enhancing data accessibility and usability. Handled large datasets and complex SQL queries, delivering accurate and timely data insights. Reported findings to relevant business members. Identified patterns and trends in data sets. Worked alongside business and management teams to establish business needs.
My Skills
Core competencies that drive my performance.
Data analysis
SQL90 %
Python97 %
Excel92 %
GSheet90 %
Looker92 %
Tableau99 %
Power BI91 %
LookML95 %
dbt96 %
Snowflake94 %
MySQL97 %
GCP94 %
Agile methodologies96 %
team collaboration98 %
data security and compliance99 %
AI integration and strategic planning98 %
predictive modeling92 %
feature engineering96 %
Appscript92 %
Html91 %
Education
Empowering Creativity through
08/2017
Bachelor of Technology
Greater Noida Institute of Technology, Greater Noida, India
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Data Science
IIIT Bangalore, Bangalore
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My Projects
Customer Experiences: A Tapestry of Happy Moments
Project Maze
Developed a predictive model to forecast inflection points of new music releases on Spotify for Italy and Germany. Conducted data preprocessing, including cleaning, normalization, and feature engineering. Evaluated algorithms, trained and validated models, and integrated the model into production for strategic marketing.
TikTok Trend Analysis & Revenue Insights
Led a trend analysis project on TikTok to provide insights into music streams, revenue, and song profiles. Gathered and cleaned TikTok data, focusing on music trends and user engagement metrics, and utilized Python, Snowflake SQL, PowerPoint, and Looker for data analysis and presentation creation.
Sentiment-based genre classification of songs
Predicted song genres by analyzing the sentiment of their lyrics, employed sentiment analysis to capture emotional content, and trained classification models.
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