Overview
Work History
Education
Skills
Accomplishments
Timeline
Websites
Software
Certification
Interests
Projects
Generic

Anam Shad

Data Analyst / Data Scientist

Overview

2
2
years of professional experience
1
1
Certificate
1
1
Language

Work History

Data Analyst

The Smart cube ( a wns company)
06.2022 - Current
  • Conducted in-depth data analysis on various aspects, including weekly customer churn, customer lifetime value analysis, and customer segmentation within the gaming and entertainment industry
  • Leveraged statistical methods and programming languages (Python, R, SQL, Pyspark) to manipulate and analyze large datasets effectively
  • Utilized data visualization tools to create informative reports, enabling data-driven decision-making and strategic planning.

Data Analyst Intern/Trainee

Taken Mind.
09.2021 - 10.2021
  • Learnt and used statistical tools for data processing to draw meaningful insights
  • Used Python packages like NumPy and Pandas for data analysis on weekly assignments provided
  • Used descriptive statistics and Power BI to visualize data.

Education

Master of Operational Research -

Hindu college, University of Delhi

Diploma in Data Science - undefined

IIT Madras, Chennai, Tamil Nadu

B.Sc (H)-Mathematics - undefined

Kirori Mal college, University of Delhi

Skills

SQLundefined

Accomplishments

  • Emerged as the winner among 106 contenders in the annual office hackathon – DECIPHR 2023
  • Received 'The Smart Team' award and “Kudos Award” for exceptional performance and responsibilities taken within a short span of joining the project team

Timeline

Data Analyst

The Smart cube ( a wns company)
06.2022 - Current

Data Analyst Intern/Trainee

Taken Mind.
09.2021 - 10.2021

Master of Operational Research -

Hindu college, University of Delhi

Diploma in Data Science - undefined

IIT Madras, Chennai, Tamil Nadu

B.Sc (H)-Mathematics - undefined

Kirori Mal college, University of Delhi

Software

Python

SQL

Certification

Data Science

Interests

Swimming

Reading

Painting

Projects

  • Unsupervised ML on Google Play Store Apps,

- Conducted exploratory data analysis to uncover insights to get the factors influencing app popularity and user ratings. 

- Utilized clustering technique(K-means) to group apps based on similarities in features and user ratings.

  • Marketing Mix Modelling

- Created a dynamic dashboard to identify market trends and consumer behavior. 

-Used regression analysis, to build a model that quantifies the relationship between marketing inputs and volume sales output.

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Anam ShadData Analyst / Data Scientist