SHABANA A T
Ganga Nagar, R T Nagar(Post)
Contact No: +91-636*******
Email Id: firstname.lastname@example.org
I am looking to build on my extensive range of Data science, Technical and Management skills within a suitably challenging role. Keen to achieve further professional development. To extract the best out of me for intensification of the organization, this can help me to reach newer heights with my ever growing technical skills, personality and knowledge.
I may be judged on the following skills specification:
Hands on in R Studio, Minitab, and Python.
Extensively worked on Python(Pandas, Numpy,Matplotlib)
Good Knowledge in data exploration techniques using various statistical tools.
Good hold on data modeling techniques and presentation .
Good Knowledge in Marketing Data Analytics.
Developing, managing & tracking student’s progress with periodic reporting to senior management.
Strong analytics experience into statistical requirements like recommendation & optimization.
Adapt and adhere to organization standards while working with multi-cultural teams.
Good knowledge in Machine Learning, KNN and Algorithm writing.
Good command on statistical techniques like Regression, classification, clustering, PCA Decision Tree, Random Forest.
Key technical Skills
Total work experience: 4+ years
2.1years of experience being Data Analyst at Shire pharmaceuticals.
Duration: March 2018 to Present
Worked as ASSITANT PROFESSOR at "MVJ COLLEGE OF ENGINEERING" for 1.9 years (Handled Engineering Mathematics I, II, III, IV)
Duration : August 2013 -May 2015
Roles and Responsibilities
Defining the project scope and suggesting tools and analytical techniques
Analyzing, Interpreting patterns in large sets of data and provide insights to the management
Statistical analysis of various projects through usage of appropriate statistical techniques such as Regression, Logistic regression, clustering, ANOVA.
Providing solutions to the business problems by applying analytics techniques such as Regression, clustering and Machine Learning.
Project work Snapshot
Predictive analysis on lung Cancer
Based on various input variables, KNN model was created for lung Cancer disease (Yes/No). Prior to this, data was pre-processed and sorted for patients.
Marketing success prediction for customers
Data generated from details of customers is analysed to predict the success of marketing using Clustering.
Education and Certificates
YEAR OF PASSING
Sree Siddanganga College of Education,
Kalaptaru First Grade Science College,
Received certification for completion of course in Data Science, Python, R and Minitab.
Date of Birth
I hereby declare that the information given above is true to the best of my knowledge.