Email Id: firstname.lastname@example.org
To obtain a challenging position as a Software Engineer and the possibility of career advancement. PROFESSIONAL SUMMARY
● Adept in end-to-end development of software products from requirement analysis to system study, designing, coding, de-bugging, documentation and implementation.
● knowledge in Python, Machine Learning using scikit learn and computer vision.
● Solved data analysis problem using Linear Regression, Logistic Regression, K-Nearest Neighbors, Random Forest, Support Vector Machine(SVM), K-Means Clustering etc.
● Implements data cleaning, feature selection, feature engineering, model selection and validation technique using scikit learn using Python.
TECHNICAL SKILL SET
Operating Systems Windows, Ubuntu
Framework Scikit Learn, Pandas, Numpy, Scipy, Opencv, Seaborn, Matplotlib Machine Learning
Linear Regression, Logistic Regression, K-Nearest Neighbors, Decision Tree, Random Forest, Support Vector Machine(SVM), K-Means, Database MySQL
● Globallogic Technologies Ltd. Duration: 18-JUN-2018 to 30 August 2019 Job Description: Associate Analyst
● Providing human judgements for the betterment of AI for Google lens and make user experience better.
● Maintaining team and task data in spreadsheets and providing presentations related to task issues. PROJECTS
Project – 1
Title BANKING APPLICATION
The project is basically on account opening, where persons signup and login with their user ID and Password. All the details saved. All the details of account transaction
,credit,debit overall information are provided. The project is fully on python and database MYSQL
Project – 2
Title OBJECT TRACKING
Description The project refers to the capability of computer and software systems to locate an object in an image/scene and identify blue object . The Project is on open CV python. Roles &
Project - 3
Title USA HOUSING, TITANIC,LOAN (MINI PROJECT)
Mini projects on dataset. Use of machine learning algorithms to analyse the raw data, application of training and testing model (linear regression,logistic regression), predicting the data according to the axis followed by calculation of the accuracy of the dataset by using confusion metrics or score etc. Use of library like pandas, matplotlib,numpy etc.
1.Analyse the data
2.Training and Testing
● MCA from IGNOU University, patna in 2018- 68%
● BCA from IGNOU University, patna in 2016 -68%
● 12th Standard from RPS School (CBSE Board ) Bihar Sharif in 2012-65%
● 10th Standard from Jai hind public school (CBSE Board), Gaya in 2010 -82% HOBBIES
● To gather information about new technologies.
● Watch astronautic movies.
I hereby declare that the above mentioned information is correct to the best of my knowledge. NIHARIKA