Liyaqhat hussain Advanced Analytics
No reviews yet

Competent professional with 7+ years of experience in Advanced Analytics Working with large data sets and gain
insights to help solve business problems and leveraging business opportunities. A versatile Thinker with a proven track
record of increasing revenues, streamlining workflow and creating a team work environment to enhance productivity.
Demonstrated abilities in Predictive Modellling for accelerating the business growth. An effective communicator with
excellent relationship building.

TECHNICAL SKILLS: Python„ Sql, Tableau, Power BI„ Advance Excel„ statistics, Data manipulation„ Data
Visualization, mporting & Cleaning Data, Predictive Analytics, Customer Analytics, Marketing Analytics„ Time
Series Analysis, Google Analytics, Digital Marketing,

MARKETING ANALYTICS- CUSTOMER CHURN
• Churn is when a customer stops doing business or ends a relationship with a company.
• Its a common problem across a variety of industries, from telecommunications to cable TV to SaaS, and a company
that can predict churn can take proactive action to retain valuable customers and get ahead of the competition.
• This will provide roadmap to create customer churn models. prepare it for modeling, make predictions using machine
learning, and communicate important, actionable insights to stakeholders.
WEB ANALYTICS - ANALYZING MARKETING CAMPAIGNS
• Track paid campaign traffic and its effectiveness on the website through the business tool by creating market reports.
• Respond to market requests for new data or dashboards
• Management of Business Intelligence analytics and all of the data flow and programming required to create a 360
marketing analytics view.
MARKET BASKET ANALYSIS
• Market Basket Analysis, which is a powerful tool for translating vast amounts of customer transaction and viewing data
into simple rules for product promotion and recommendation.
• Market Basket Analysis using the Apriori algorithm, standard and custom metrics, association rules, aggregation and
pruning, and visualization.
• ssociation rules tell us that two or more items are related. Metrics allow us to quantify the usefulness of those relation-
ships. In this chapter, youll apply six metrics to evaluate association rules: supply, confidence, lift, conviction, leverage,
and Zhang’s metric.
CUSTOMER SEGMENTATION
• Implement business intelligence programmes with monthly targets and forecasting based from the companies planned
marketing activity, seasonality and product launches..
• Cohort Analysis.
• Recency, Frequency, Monetary value analysis.
• Extract data for campaigns based on specific segmentation briefs.

Subjects

  • Web Scraping Beginner-Intermediate

  • Excel charts Beginner-Intermediate

  • Python Basics Beginner-Intermediate

Experience

  • Retail Analyst (Jun, 2012–Jun, 2013) at Landmark group Dubai UAE

Education

  • Data analyst (Aug, 2018–Sep, 2019) from Datacamp
  • Master of Business Administration (Jan, 2010–Dec, 2011) from Amity University, Lucknow–scored 60

Fee details

    ₹500–1,000/hour (US$5.95–11.89/hour)

    Depend on the level of coaching and assignments.

Reviews

No reviews yet. Be the first one to review this tutor.