kazmeen_chaudhary

kazmeen_chaudhary

Hackathons
6942
Rank
0
Points
Participated in Mini Hack : Strategic Thinking
Participated in Skilltest: Image Processing
Participated in SVM Skilltest
Participated in Mini Datahack
Participated in Practice Problem: Strategic Thinking II
Participated in Black Friday Sales Prediction
Participated in The Smart Recruits
Participated in Identify the Digits (MNIST)
Participated in Internship Challenge Round 2- Analytics Vidhya (Data Science)
Participated in Experiments with Data
Participated in AV Express: Kickstart your Data Science career (Chennai)
Participated in Re-Date Your Data: Learning Contest
Participated in Experiments With Data
Participated in Knocktober 2016
Participated in Age Detection of Actors
Participated in Experiments With Data
Participated in Date Your Data
Participated in AV Casino : Introduction to Probability
Participated in Internship Challenge - Analytics Vidhya (Web Development)
Participated in Mini Hack : Strategic Thinking
Participated in AVdatafest : The Seer's Accuracy
Participated in Experiments With Data
Participated in Experiments With Data
Participated in Internship Challenge - Analytics Vidhya (Data Science)
Participated in Data Science Interview Preparation Test
Participated in Practice Problem: Skilltest - Machine Learning
Participated in [Student DataFest 2018] Skilltest - Intro to Machine Learning
Participated in Twitter Sentiment Analysis
Participated in Rise of the Machines ( Meetup - Hyderabad)
Participated in Recommendation Engine
Participated in Mini Hack : Data Visualization
Participated in Big Mart Sales Prediction
Participated in Data Science Blogathon - 21
Participated in Loan Prediction

Experience

Designation Data Scientist
Company Bannerbuzz
Duration None - Present
Job Profile • Done RFM Analysis and segment customer based on Total score of RFM as Group1 as Best and champion Customer to Group5 as Lost Customer. Also prepare various marketing strategies for various groups and remarket them. • Done Customer Life Time Value for BannerBuzz which describe by doing remarketing how much revenue customer is being able to get in future. Also find out average span of time remains customer of BannerBuzz. • On the basis of Google Analytics report having Multi Channel Grouping which describes path of channel of customer, number of conversion and conversion value. • Find out marketing channel which helps in assisting conversion and conversion value and adjust bidding according to it which reduce cost and increase revenue. • Prepare Dashboards in Tableau for Enhanced Ecommerce, Site Search to get overview to marketing about which channel is performing well and overall performance of website. • By seeing this Dashboard Marketing Department change strategies according to it.

Education

Course Any other Degree
University Sardar Patel University
Duration None - 2015
Job Profile

Skill

data science